249 results about "Transmission matrix" patented technology

The invention relates to the technical field of document retrieval and information processing in the data processing technology, in particular to a document retrieval method based on multistage indexing and feature clustering, which comprises the following steps: performing high-dimensional space mapping on multi-modal features such as texts and images through a quantum embedding layer to generate cross-modal joint feature representation; a first-level index of a multi-level index architecture is dynamically initialized based on a meta-clustering algorithm, and semantic blocks of a second-level index are divided in combination with a multi-head self-attention mechanism. And an optimal transmission matrix is generated by using a Sinkhorn algorithm to align cross-node feature distribution. The multi-target mixed retrieval strategy is fused with vector retrieval, keyword retrieval and graph retrieval results, and weight distribution is dynamically adjusted. Through collaborative optimization of quantum calculation, federated learning and causal reasoning, a closed-loop technical architecture from feature analysis to dynamic index construction is formed, the problems of insufficient cross-modal fusion, static clustering deviation and semantic association deficiency are solved, and the precision, efficiency and dynamic adaptability of heterogeneous document retrieval are improved.

The invention discloses a cross-cultural customer service dialogue quality automatic evaluation method in combination with sentiment analysis, and relates to the technical field of natural language processing, and the method comprises the steps: carrying out the alignment of voice and text based on a transmission matrix in real time, extracting a speech, a metaphor and polarity, and generating a speech tag; constructing an emotion channel and a polite channel, and fusing expression and shielding intensity through sharing attention; comparing and aligning with the same language prototype in a regional culture baseline library to obtain a calibration representation and updating a language offset record table; the potential upgrading probability is represented and recurred according to round aggregation calibration, and a risk vector and a high-risk position are formed; fusing risk and business indexes by a capacity integral kernel, outputting a comprehensive quality score, and giving factors and round attributions; sample recovery is triggered according to score and feedback difference, a micro-weight training data set is constructed, gradient increment training is carried out under low-rank adaptation, and cross-language consistency, early recognition of upgrading risks and interpretable evaluation are achieved through a closed loop.

The invention discloses a visible infrared dual-band stealth material and a preparation method thereof. The material structurally comprises a metal Mo layer, a Ge dielectric layer and an Al2O3 dielectric layer, and the metal Mo layer, the Ge dielectric layer and the Al2O3 dielectric layer are sequentially laid from bottom to top. According to the method, the absorptivity, the refractive index and the transmittance of the thin film structure in visible light and infrared bands are calculated through combination of a transmission matrix and simulation software, and simulated absorption spectrums of the thin film structure in the visible light and infrared bands under the normal incidence condition are obtained; by changing the thickness of each layer of material in the thin film structure, different thickness absorption spectrums of the thin film structure in visible light and infrared bands are obtained through calculation; comparing the different thickness absorption spectrums with the simulated absorption spectrums to obtain an optimal thin film structure and the thickness of each layer of material; and according to the thickness of each layer of material of the optimal thin film structure, a target thin film structure is prepared by setting a preparation mode. The structure is simple, the manufacturing process is simplified, and preparation and large-scale integration are easy.

The invention relates to the technical field of electrical equipment detection, and discloses a terahertz time-domain spectroscopy-based GIS insulating material nondestructive testing method, which comprises the following steps: acquiring GIS insulating material time-domain signals by using a reflection-type terahertz time-domain spectroscopy (THz-TDS), and separating and reconstructing defect echoes based on electromagnetic simulation modeling in combination with wavelet transform, STFT and a transmission matrix method; multi-dimensional features are extracted, SVM and RBFNN are trained after dimensionality reduction, and a classification and quantitative regression model fusing physical constraints is constructed; and inputting a signal of a sample to be detected into the model to realize rapid, non-contact and accurate detection on the type, size and depth of the defect. The method overcomes the defects that traditional detection is low in efficiency, has damage or is difficult to quantify, the signal-to-noise ratio, the sensitivity and the automation level are remarkably improved, the method can be widely applied to GIS production quality control, installation acceptance, operation and maintenance monitoring, health assessment and life prediction, and powerful support is provided for safe and reliable operation of an electric power system.

The invention provides a multi-user near-field secure communication method based on stacked intelligent metasurfaces, and relates to the technical field of wireless communication. The method comprises the following steps: obtaining an equivalent beamforming matrix and a first-layer channel transmission matrix of an SIM according to parameters of the SIM in a base station; according to the transmission distance between the SIM and the user and the transmission distance between the SIM and the eavesdropper and the parameters of the SIM, modeling a near-field channel to obtain a near-field channel model; obtaining a data transmission rate in combination with a beamforming vector of the base station, and further determining the security and the rate; and by taking maximization of the safety and the rate as a target, constructing an optimization model and decomposing the optimization model into two sub-problems to carry out alternate iterative optimization so as to obtain an optimized equivalent beam forming matrix and an optimized beam forming vector. An SIM is introduced, the freedom degree of beam regulation and control is increased, optimization is carried out on the basis of a near-field channel model by taking maximization of safety and rate as targets, legal users and eavesdroppers are effectively distinguished, signal energy is accurately guided to the legal users, and the communication safety is improved.

The invention relates to the technical field of computer vision and multi-modal learning, in particular to a cross-modal label pool construction and classification method for weak supervision training tasks. The method comprises the following steps: constructing a labeled source domain data set {an image with a labeled frame, a frame label and a label prototype vector}; clustering the regional features of the target domain image to obtain a clustering center; optimizing the transmission matrix T according to the optimization target; giving a pseudo label to each cluster according to the transmission matrix T, and constructing a pseudo label pool {regional features of a target domain image, pseudo labels}; according to the method, distribution between the source domain category and the target domain cluster is introduced, probability distribution type alignment is achieved between the source domain category and the target domain feature cluster, false label category mismatching is effectively avoided, the covering capacity for low resource categories is improved, and the robustness of overall false supervision training is enhanced.

The invention relates to the technical field of data processing, in particular to a multi-source data fusion method and system based on an optimal transmission algorithm, and the method comprises the steps: obtaining input data sources, and extracting a feature vector of each data source; the feature vectors of all the data sources are merged and subjected to clustering operation to generate a prototype set, joint weight distribution of a multi-path jump path is defined by calculating the jump probability between a cross-modal vector and vectors in the prototype set, and entropy weighted multi-path prototype bridging cost fusing multiple semantic path costs is obtained based on the joint weight distribution; constructing a sparse optimal transmission matrix based on an optimal transmission algorithm and entropy weighted multipath prototype bridging cost; and performing cross-modal weighted alignment and enhanced representation construction on the extracted feature vector of each data source by using the sparse optimal transmission matrix to generate a multi-modal fusion representation. According to the method and the device, the consumption of computing resources can be reduced on the premise of ensuring the precision and the efficiency of data fusion.

The invention discloses an integrated circuit wiring optimization method and apparatus, and an electronic device. The method comprises the steps of obtaining a target network corresponding to initial wiring data of an integrated circuit; the target network comprises a signal network and a sequential network; constructing a transmission matrix corresponding to the signal network, and converting the transmission matrix into a corresponding scattering parameter; determining a first simulation analysis parameter based on the scattering parameter, the first simulation analysis parameter including insertion loss; determining a buffer pitch based on the insertion loss; and optimizing the initial wiring data based on the buffer spacing to obtain wiring data. Through the Buffer spacing obtained after simulation analysis, wiring data can be optimized more accurately.

A transceiver device, including a multi-antenna feeder array and a reconfigurable intelligent surface (RIS), where the multi-antenna feeder array includes a plurality of active antennas configured to transmit electromagnetic radiation based on a data stream pre-coded with a pre-coder. The RIS includes a plurality of passive antennas, each passive antenna is configured to receive the electromagnetic radiation from the multi-antenna feeder array and to re-transmit the received electromagnetic radiation with a respective adjustable phase shift. The transmission from the plurality of active antennas of the multi-antenna feeder array to the plurality of passive antennas of the RIS is defined by a transmission matrix, where the multi-antenna feeder array is configured to generate the pre-coder based on one or more generalized eigenvectors of the transmission matrix.

The invention provides a linear optical tweezer astigmatism field regulation and control method based on an optical transmission matrix. The design method comprises the following steps: establishing a 4 * 4 optical matrix for generating a linear optical tweezer astigmatism field and a transmission equation; analyzing the regulation and control rule of the parameters of the optical element on the astigmatism characteristics; collecting a fluorescence slice image of the initial astigmatic light field through an axial tomography scanning method; reconstructing the spatial distribution of the initial image light field; judging whether the light field accords with a preset astigmatism characteristic or not, if not, determining the astigmatism characteristic to be optimized, and adjusting element parameters according to a regulation and control rule; and acquiring the adjusted image of the astigmatism light field again, reconstructing the image, and continuously performing judgment iteration until the image accords with the preset astigmatism characteristic, thereby realizing regulation and control of the astigmatism light field. Matrix optics is used in optimization of a linear optical tweezer image dispersion light field optical system, the limitation of traditional trial and error design is avoided, the method can be applied to the fields of light control technology, light sheet fluorescence microscopic imaging and the like, and the performance of the optical system is improved.

The invention provides a channel reconstruction method, device and equipment based on a multi-probe microwave anechoic chamber and a storage medium, and the method comprises the steps: building a target channel three-dimensional spherical power spectrum model based on an azimuth angle power spectrum and a pitch angle power spectrum; generating a target channel spatial correlation matrix based on the three-dimensional spherical power spectrum model and the position vector of each antenna pair; calculating a transmission matrix between the probe position and the antenna pair; determining a target probe based on the target channel spatial correlation matrix, the transmission matrix and a progressive selection algorithm; iterating the probe weight of the target probe through a preset probe weighting algorithm based on mirror image descent to obtain a target probe weight; obtaining the spatial correlation of a simulation channel based on the position of the selected probe and the obtained weight of the target probe, and completing channel reconstruction; according to the invention, the problems of low efficiency and difficulty in meeting high-precision requirements in the channel reconstruction process can be solved; and the channel reconstruction precision and efficiency are improved.

The invention provides a large-distance spacer ring distance protection mis-tripping prevention method and device, and the method comprises the steps: building a mis-tripping risk conduction matrix through collecting the fault propagation record of a spacer ring circuit breaker node, and achieving the tracking of a fault path; performing spectral analysis on the tracking path by applying wavelet decomposition, and identifying a key protection section; extracting an impedance aggregation state and a power transmission track of each node, establishing an energy distribution mode and forming an impedance-power-energy coupling situation; a time window is activated based on the coupling situation, and a cooperative distance protection potential field is constructed through a communication protocol; executing gradient scanning to construct a collaborative network, and generating a multi-dimensional protection decision domain by adopting vector superposition; global search is carried out to position an optimal balance point, a layered protection setting sequence is generated, and a cooperative adjustment strategy is formulated; and monitoring a dynamic impedance state in real time to identify a transition critical point, triggering cooperative adjustment to complete intelligent anti-error tripping, and realizing the transformation of large-distance spacer ring protection from passive to active.

The invention relates to a hull total longitudinal bending moment monitoring device and method, a terminal and a medium, belongs to the field of structural health monitoring, and aims to solve the problems of high cost and low precision of existing bending moment monitoring. The long baseline sensor is fixedly installed on a to-be-monitored point of a hull bottom structure, the long baseline sensor is in data connection with the data receiving processor, and the data receiving processor and the terminal are in data connection with the medium. The device can accurately simulate the working condition, improves the measurement precision and stability of the sensor, is simple and convenient to operate, improves the working efficiency, is flexible in structure, and has multiple driving modes. According to the method, long-distance bending moment recognition is converted into short-distance displacement recognition, long-baseline deck bending moment is converted into short-baseline displacement measurement through a high-rigidity iron pipe and a universal joint, the bending moment can be recognized based on local displacement information by constructing a transfer matrix, and compared with a traditional technology, the method is simple and efficient in algorithm, high in measurement precision, high in interference resistance, convenient to install and high in practicability. The cost is greatly reduced; and the maintenance is simple.

The invention provides a three-dimensional holographic imaging method. The method comprises the following steps: loading a holographic pattern to be imaged to a spatial light modulator; modulating a preset laser source by using a spatial light modulator loaded with a holographic pattern to form a first wavefront with initial phase information; carrying out primary scattering on the first wavefront by adopting a first turbid medium lens to form a second wavefront; compensating the second wavefront by adopting a metasurface compensation unit to form a third wavefront; after a second turbid medium lens is adopted to carry out secondary scattering on the third wavefront, a holographic imaging system is utilized to carry out imaging; wherein the metasurface compensation unit is determined according to a transmission matrix of the first turbid medium lens and a transmission matrix of the second turbid medium lens. The imaging view angle can be effectively increased, and the space bandwidth product can be improved.

The invention provides a power distribution information physical system reliability evaluation method and system, and the method comprises the steps: building a multi-dimensional information system network model which comprises an equipment operation state model, a packet loss model, a time delay model and an error code model, building a node adjacency matrix according to an equipment node connection relation, obtaining a node network transmission matrix based on the node adjacency matrix, and carrying out the reliability evaluation of a power distribution information physical system. Calculating expected values of availability of four attributes of the multi-dimensional information system; based on the calculated expected values of the availability of the four attributes of the multi-dimensional information system, a fault point area caused by manual operation due to unreliable information system performance and prolonged power failure time of the upstream and downstream of a fault point are obtained; generating a physical operation scene based on the prolonged power failure time and correcting the physical operation scene; and carrying out fault recovery decision calculation on the corrected physical operation scene to finally obtain a reliability evaluation index.

The invention discloses a chirp grating design method and device, equipment and a storage medium, and relates to the technical field of optical fibers, and the disclosed chirp grating design method comprises the steps: analyzing a preset target spectrum function to obtain a target grating structure parameter; layering the initial grating into a plurality of sub-grating regions with uniform periods based on the target grating structure parameters, and establishing a layered transmission matrix model; determining a refractive index modulation depth range of each sub-gate region according to the layered transmission matrix model; and performing iterative optimization on grating structure parameters of the initial grating according to the layered transmission matrix model, the target spectral function, the refractive index modulation depth range and a preset error function to obtain a target grating. The performance of the chirp grating can be optimized.

The embodiment of the invention provides a design method of a wave-absorbing / wave-transmitting electrically-controlled switchable antenna housing, the structure of the antenna housing comprises an absorbing layer frequency selective surface, a dielectric layer and a wave-transmitting layer frequency selective surface from top to bottom, the absorbing layer frequency selective surface can carry out in-band loss and in-band transmission, the wave-transmitting layer can carry out in-band transmission and out-of-band reflection, and the dielectric layer can carry out in-band transmission and out-of-band reflection. The overall structure interacts to form a radar radome structure integrating absorption and transmission; a microwave network is adopted to carry out impedance analysis on the absorption and transmission radome, parameters are set to represent the characteristics of the microwave network, and meanwhile, a transmission matrix of the microwave network is analyzed through a matrix. The designed antenna housing not only has good out-of-band wave-absorbing stealth performance, but also can switch an in-band wave-transmitting state to a wave-absorbing state through electric control to realize limit stealth.

The invention provides a low-altitude unmanned aerial vehicle visual target tracking method based on dynamic sparse Sinkhorn attention, and belongs to the technical field of unmanned aerial vehicle intelligent perception. According to the method, an unmanned aerial vehicle carries imaging equipment to obtain video images of a target template area and a search area, and visual and language tokens are respectively generated in combination with natural language description; a dynamic sparse Sinkhorn attention module is embedded behind a multi-head self-attention layer of a visual encoder, an approximate double-random transmission matrix is constructed through similarity calculation and iteration, and differential sorting between tokens is achieved; a previous visual token most related to target semantics is dynamically screened and reserved according to the correlation score, background interference and redundant information are inhibited, and airborne calculation burden is reduced; and fusing the screened tokens in a prediction network, and outputting a target existence probability and a bounding box to realize stable real-time tracking. According to the method, the calculation complexity is reduced on the premise of ensuring the precision, and a low-power-consumption embedded platform is adapted; the robustness in a complex low-altitude environment is enhanced; and the cross-domain generalization ability is improved.

The invention discloses an ultrashort linear beam homogenization structure, which is characterized in that two four-eight-pole composite magnets are used on a transmission line, the beam envelope function in the Y direction or the X direction reaches the maximum value at the first four-eight-pole composite magnet, and the beam envelope function in the Y direction or the X direction reaches the maximum value at the second four-eight-pole composite magnet. The X-direction beam envelope function or the X-direction beam envelope function reaches the maximum value; the phase movement of the particles between the two four-eight-pole composite magnets and the target is close to an integral multiple of 180 degrees; a transmission matrix between the two octopole magnetic fields is close to a unit matrix. According to the invention, two pieces of four-eight-pole composite iron are used, the phase shift # imgabs0 # of particles between the two pieces of four-eight-pole composite iron and the target is limited to be close to an integral multiple of 180 degrees, a transmission matrix between two eight-pole magnetic fields is limited to be close to a unit matrix, and an ultra-short beam homogenized transport line is realized. The problems of dozens of meters in length, large occupied area and high cost of a beam homogenization transport line in a conventional method are solved.

The invention provides a high-voltage circuit breaker fault diagnosis method based on voiceprint noise reduction and cloud edge cooperation. The method comprises the following steps: firstly, acquiring environmental background noise in an idle period of the high-voltage circuit breaker, and synchronously acquiring multichannel original voiceprint signals in an operation process; and through covariance modeling and relative transmission matrix calculation, noise reduction processing of multi-channel voiceprint signals is completed, and pure voiceprint signals are extracted. Then, performing feature extraction on the pure voiceprints, screening voiceprint channels which are most relevant to the fault state and are high in complementarity based on a mutual information criterion, and constructing a representative voiceprint set; and uploading the representative voiceprint set to a cloud end, and realizing fault type identification and positioning through a trained intelligent model. The method combines the advantages of edge real-time processing and cloud deep analysis, can effectively improve the accuracy and response speed of fault diagnosis of the high-voltage circuit breaker, and has high reliability and practical value.

The invention discloses a partial discharge harmonic online early warning method for a cable branch box, and particularly relates to the technical field of electrical measurement and power equipment state monitoring. And a unified time base is difficult to obtain through multi-point monitoring, harmonic distortion is easy to be misjudged as discharge, and stable positioning is difficult in a topological constraint. Harmonic scene fingerprints are constructed under a unified time base, version locking is carried out, power frequency phases are re-calibrated according to the fingerprints, gating compensation is set in a non-whole frequency band domain, and joint matching is carried out by combining arrival time difference with energy attenuation under the constraint of a topological equivalent transmission matrix. And dual-threshold interlocking trigger early warning is carried out by combining the separation degree with topological consistency, so that partial discharge pulses can still be stably displayed under the change of a harmonic working condition, false alarm and caliber drift caused by harmonic waves are inhibited, reviewable positioning and executable graded early warning of branch and joint levels are realized, and the reliability of the system is improved. And the stability, comparability and implementability of field judgment are improved.

The invention discloses a heterogeneous point cloud registration method. The method comprises the following steps: S1, preprocessing; s2, extracting high-scale aggregation features; s3, inputting the features into a network, and through calculation of self-attention and cross attention, combining point-to-angle feature embedding vectors to obtain enhanced features; s4, taking the enhanced features as input, calculating a feature similarity matrix, and performing iterative calculation through an optimal transmission algorithm to obtain an optimal transmission matrix; s5, calculating a global scale factor by taking the optimal transmission matrix as input, and executing scale alignment operation; and S6, taking the optimal transmission matrix and the two groups of scale alignment point clouds as input, and carrying out point cloud accurate registration. According to the method, the point cloud registration error is reduced, the difference between the point features is increased, the parameter solving complexity is reduced, and the overall operation efficiency is remarkably improved on the premise of ensuring the precision.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes such as financial science and technology and medical health, and discloses a task processing method, device and equipment based on optimal transmission and a medium. Extracting visual, audio and motion features by using a plurality of modal encoders, and generating feature representations of a plurality of modals; constructing an inter-modal feature distribution matrix based on the feature representation; generating a transmission matrix through an input convex neural network and an entropy regularization iteration mode; realizing modal feature distribution alignment by using the transmission matrix to obtain aligned feature representation; adopting a gated cross attention mechanism to fuse and generate unified feature representation; and executing the target task based on the unified feature representation, and outputting a task processing result. According to the method, modal feature alignment is realized by inputting the convex neural network in combination with entropy regularization, and fusion is completed by using gated cross attention, so that cross-modal semantic consistency and calculation efficiency are improved.

The invention discloses a recommendation model training method and device based on article fairness. The recommendation model training method comprises the steps that ID embedded representations of a user and an article and multi-modal content embedded representations of the article are constructed; a cost matrix is constructed based on the multi-modal semantic similarity between the articles, source distribution and target distribution in optimal transmission are redefined by using a weighting mechanism and a fairness transmission mechanism based on article exposure, and optimal transmission loss is constructed based on the cost matrix and a transmission matrix; and constructing ID representation loss based on the ID embedded representation of the user and the article and the interaction label, constructing multi-modal content representation loss based on the ID embedded representation of the user and the multi-modal content embedded representation of the article and the interaction label, and constructing the three types of loss into joint loss to train an article recommendation model. The method can effectively improve feature representation learning of unpopular articles, realizes collaborative improvement of fairness and performance of a recommendation system, and is especially suitable for cold start and long-tail article recommendation scenes.

The invention provides a multi-camera image processing method and system, electronic equipment and a medium, and belongs to the technical field of aerial view, and the method comprises the steps: obtaining fisheye images shot by a plurality of fisheye cameras; converting the image features of each fisheye image into corresponding aerial view features through a feature transmission matrix; and performing aerial view feature fusion through a distortion perception learning pooling layer. According to the method, the advantage of a large field angle of the fisheye camera is utilized, efficient feature conversion is achieved in combination with matrix multiplication, feature fusion is optimized through a distortion perception pooling layer, and the problem of radial image distortion of the fisheye camera is effectively solved; according to the invention, through feature compression and matrix decomposition technologies, the calculation amount and memory occupation of multi-camera BEV feature fusion are greatly reduced; the shielding reasoning module is introduced, and the shielding problem in the BEV space can be effectively solved.

The invention discloses a circuit board production process management and control method and system based on a multilayer circuit. The method comprises the following steps: establishing an interlayer transmission line parameter model of a multilayer circuit board, and calculating electromagnetic field distribution based on a deformation telegraph equation and a parallel plate resonance effect; performing transmission characteristic simulation verification; optimizing production environment parameters, and selecting an area of which the electric field intensity is lower than 45% maximum value as a wiring optimal area; implementing a layered wiring strategy, and optimizing an interlayer wiring path according to the transmission matrix; production data are dynamically monitored, temperature, humidity and electromagnetic radiation data are collected in real time, and machining parameters are adjusted in combination with a transmission matrix correction value. According to the method, the transmission characteristics are accurately predicted, the production environment parameters are optimized, the influence of the external environment on the performance of the circuit board is effectively reduced, and the stability and reliability of the circuit board are improved. Through establishment of a parameter model and simulation verification, comprehensive management and control of the production process of the multilayer circuit board are realized.

The invention relates to the technical field of high-speed aircraft ground simulation and electromagnetic property calculation, and provides a high-speed aircraft electromagnetic calculation method and system based on a quantum classification algorithm. A variable component sub-classifier is used as an intelligent scheduling core to perform feature recognition and region division on a whole flow field, and a transmission matrix method and a WKB approximation method are adaptively called according to a division result to perform hybrid calculation, so that the technical problem that a traditional single calculation strategy is difficult to collaboratively optimize in precision and efficiency is solved; the method has the advantages that global computing resources can be distributed according to needs, and the overall solving speed is greatly increased while high simulation precision of the key area is guaranteed.

The present application relates to the field of data processing technology, and in particular to a multi-source data fusion method and system based on an optimal transmission algorithm, the method comprising obtaining an input data source and extracting a feature vector of each data source; merging the feature vectors of each data source and performing a clustering operation to generate a prototype set, defining a joint weight distribution of multi-path jump paths by calculating the jump probability between a cross-modal vector and a vector in the prototype set, obtaining an entropy-weighted multi-path prototype bridging cost that fuses multiple semantic path costs based on the joint weight distribution; constructing a sparse optimal transmission matrix based on the optimal transmission algorithm and the entropy-weighted multi-path prototype bridging cost; and utilizing the sparse optimal transmission matrix to perform cross-modal weighted alignment and enhanced representation construction on the extracted feature vectors of each data source to generate a multi-modal fusion representation. The present application can reduce the consumption of computing resources while ensuring the accuracy and efficiency of data fusion.

The invention discloses a welding spot testing method and system and a computer program product, and relates to the technical field of electronic packaging, and the method comprises the steps: constructing a single welding spot testing architecture through a to-be-tested single welding spot of a chip unit, and determining a transmission parameter matrix according to a scattering parameter matrix of the single welding spot testing architecture; combined de-embedding calculation is carried out by combining a substrate open circuit transmission matrix, a substrate short circuit transmission matrix and a chip short circuit transmission matrix which are measured when the single welding spot test framework is in an open circuit structure and a short circuit structure, so that the parasitic effect of the test substrate and the chip unit and the crosstalk of adjacent structures are accurately stripped; therefore, transmission performance parameters which only reflect intrinsic characteristics of the to-be-tested single welding spot can be directly extracted, signal superposition interference and approximate estimation limitation existing in a traditional multi-point series connection test or parameter equalization method are broken through, systematic errors are eliminated, accurate measurement and fault location of electrical characteristics of the to-be-tested single welding spot are achieved, and the method is suitable for large-scale popularization and application. And the accuracy and the reliability of the welding spot test in the packaging body are obviously improved.

A computing apparatus is provided. The apparatus includes: an input port to receive a first optical signal; a matrix calculation unit having a transmission matrix and configured to use the transmission matrix to process the first optical signal to obtain a second optical signal, where the second optical signal has a complex amplitude, and the transmission matrix is a unitary matrix M′; a real part obtaining unit optically coupled to the matrix calculation unit and configured to obtain, from the second optical signal, a third optical signal representing a real part of a complex amplitude of the second optical signal; and an output port configured to output an optical signal.