20 results about "Normalized correlation" patented technology

The invention relates to the technical field of digital filters, and discloses a quantization sensing wide linear minimum error mode adaptive filter, which performs non-uniform low-bit quantization on an input signal and an expected signal by using a quantization parameter to obtain a corresponding quantization value; constructing a linear factor based on the quantization parameter; based on the non-roundness of the input signal, constructing a normalized correlation matrix of the input signal and the linearized error signal, and constructing a compensation matrix in combination with a linear factor; obtaining input signal quantized values at a current moment and a historical moment, constructing an augmented input signal vector, calculating a product of the augmented input signal vector and the compensation matrix, and constructing a corrected input vector; performing wide linear filtering on the corrected input vector to obtain an output signal, and calculating an error signal in combination with an expected signal quantized value; and updating the weight vector at the next moment by using the corrected input vector and the error signal. According to the invention, by introducing a non-uniform low-bit quantization and deviation compensation mechanism, the cost and energy consumption of the analog-to-digital converter are remarkably reduced, and a relatively low steady-state error is kept.

The invention relates to the technical field of edge-end collaboration, and discloses an edge-end collaboration AI model construction system and method for energy consumption prediction, and the method comprises the steps: collecting node parameters of edge nodes according to a fixed time interval in a preset time period, and obtaining a parameter matrix; calculating a sample covariance based on the parameter matrix, and executing strip projection to obtain a projection matrix; respectively constructing a variance matrix and a correlation matrix by using the projection matrix; constructing a power grid sparse matrix according to the sensor topology; splicing the power grid sparse matrix and the correlation matrix to form a normalized correlation matrix, and generating a multi-layer covariance matrix in combination with the variance matrix; performing positive definite processing on the multi-layer covariance matrix to obtain a positive definite covariance matrix; and whitening the parameter matrix by using the positive definite covariance matrix to obtain a whitened parameter matrix.

A plurality of shift images are generated by shifting a fluoroscopic image by a prescribed increment within a prescribed range in a craniocaudal direction. Then, a normalized correlation coefficient between a DRR image and each of the plurality of shift images is calculated. Next, a shift amount of the shift image corresponding to the largest normalized correlation coefficient among the plurality of normalized correlation coefficients is determined to be the positional deviation.

The present application belongs to the technical field of integrated circuit design, and also relates to the field of digital signal processing, in particular to an amplitude modulation baseband signal processing and identification method and device, which are used to solve the problem of digital signal identification of amplitude modulation transmission. The processing process includes: quadrature signal equalization, quadrature signal merging, normalized correlation detection, signal peak value search, signal strength screening, and signal decision. The method and device can process the baseband signal converted from analog-digital after being demodulated by the radio frequency analog circuit in the radio equipment, and finally identify the digital coding content of the amplitude modulation signal. It is mainly applied to amplitude modulation radio equipment and near field communication field, and is responsible for the decoding of digital signal. Through this method and device, the coding content can be efficiently and accurately identified; it has strong anti-interference ability and anti-signal distortion ability; it has sensitive identification ability for small signals and certain signal-to-noise ratio gain for low-speed signals.

The invention relates to a synchronous and asynchronous GNSS (Global Navigation Satellite System) signal coherent integral gain mechanism analysis method. The method comprises the following steps: for a synchronous signal generation scene, generating a local copy enabling the total correlation energy to be maximum; coherent integral output is calculated according to a local copy and an intermediate frequency signal, a pseudo-random code normalization correlation function and residual frequency difference simplification are introduced, after an output signal is obtained, an output signal-to-noise ratio is calculated in combination with preset noise power, and a conclusion that the synchronous scene output signal-to-noise ratio is linearly proportional to coherent integral time is deduced. The method comprises the following steps: respectively generating independent local copies for a real signal and a plurality of forwarded signals according to an asynchronous signal forwarding scene; and calculating a correlation integral of conjugation of the local copy and the mixed input signal, simplifying an integral result, deducing an asynchronous scene output signal-to-noise ratio expression, and obtaining a conclusion that the asynchronous scene output signal-to-noise ratio expression is in direct proportion to the input signal-to-noise ratio and coherent integral time. By adopting the method, a theoretical support can be provided for the optimization design of the capturing and tracking link of the GNSS array receiver.

The application discloses a method for quickly calculating image correlation, and relates to the technical field of image matching, which comprises the following steps: S1, acquiring a template feature map from a template image and a search feature map from a search image based on a feature extraction network; S2, setting a sliding window, traversing and extracting the search feature map through the sliding window, and extracting a first feature vector; S3, performing cross-correlation operation on the template feature map and the search feature map to obtain a calculation result; S4, performing dimension transformation based on the calculation result obtained in the step S3 to obtain a matching cross-correlation map; and S5, obtaining the position with the maximum correlation of the sliding window based on the position index of the maximum value in the matching cross-correlation map. According to the application, the normalized correlation of each position of a template to be matched on a search image is calculated, the cross-correlation map can be obtained only once, the time for obtaining the cross-correlation map is reduced, and the position of a target can be quickly located in a scene requiring target positioning.

The invention discloses a method for quickly calculating image correlation, and relates to the technical field of image matching, and the method comprises the steps: S1, based on a feature extraction network, obtaining a template feature map from a template image, and obtaining a search feature map from a search image; s2, setting a sliding window, traversing and extracting the search feature map through the sliding window, and extracting a first feature vector; s3, performing cross-correlation operation on the template feature map and the search feature map to obtain a calculation result; s4, performing dimension transformation based on a calculation result obtained in the step S3 to obtain a matched cross-correlation graph; and S5, based on the position index of the maximum value in the matched cross-correlation graph, obtaining the position with the maximum correlation of the sliding window. According to the method, the normalized correlation of each position of the to-be-matched template on the search image is calculated, and the cross-correlation graph can be obtained only through one-time calculation, so that the time for obtaining the cross-correlation graph is shortened, and the position of the target can be quickly positioned in a scene in which the target needs to be positioned.

This invention discloses a machine vision-based method for detecting blockages in coal preparation plant screening tanks, belonging to the field of industrial automation detection technology. The method includes: acquiring continuous video frames; the user defining an irregular polygonal monitoring area and generating a mask; dividing the video frames into equally spaced blocks; performing normalized correlation template matching on each block within the monitoring area using adjacent frames, recording the positional deviation; marking blocks with deviations close to 0 in multiple consecutive frames as continuously stationary blocks; and determining blockage and triggering an alarm when the number of stationary blocks is greater than a threshold. This invention improves robustness to changes in illumination by utilizing normalized correlation matching, effectively filters out instantaneous misjudgments through continuous frame stationary detection and an accumulator mechanism, and solves the problem of water flow interference by combining edge detection preprocessing, thus achieving automatic and accurate detection of blockages in coal preparation plant screening tanks and ensuring production safety.

This invention relates to the field of motor control technology and discloses an optimal dynamic response deadbeat current prediction system for permanent magnet synchronous motors. The system performs the following steps: acquiring motor operating status data and historical sequence data; calculating the error phase trajectory and detecting periodic disturbance patterns through cross-mechanical cycle normalized correlation analysis; extracting historical feedforward compensation voltage vectors and calculating the net available voltage amplitude under the periodic disturbance pattern; calculating the upper limit of the current change rate based on the net available voltage amplitude and planning the optimal intermediate current trajectory; performing two-step deadbeat current prediction calculations to calculate the nominal voltage vector; synthesizing the voltage vector and performing constraint verification; outputting voltage commands and updating the angle index memory table.

The invention discloses an industry business and remote sensing technology correlation degree quantitative evaluation and grading method and device, and belongs to the field of remote sensing technology application and remote sensing information management, and the method comprises the steps: carrying out the sorting and gathering of industry business types, and extracting keywords corresponding to different business types; remote sensing technology carding and gathering are carried out, and keywords corresponding to different remote sensing technologies are extracted; literature retrieval is carried out in a paper database by means of the keywords, each literature is classified, and the literature number and the literature publishing time span are counted; calculating the integration level of the remote sensing technology in the industry business; calculating the support degree of the remote sensing technology to the industry business; the industry business and the remote sensing technology are used as nodes, a relation network is constructed, and the node weighting centrality of the network is calculated; calculating the normalized correlation degree of the industry business and the remote sensing technology; and grading based on the normalized correlation degree. The method can quantitatively analyze the use degree of the remote sensing technology in industry business application.

This application relates to a method for analyzing the coherent integration gain mechanism of synchronous and asynchronous GNSS signals. The method includes: for synchronous signal generation scenarios, generating a local copy that maximizes the total correlation energy; calculating the coherent integration output based on the local copy and the intermediate frequency signal; introducing a pseudo-random code to normalize the correlation function and simplifying with residual frequency difference; obtaining the output signal; and then calculating the output signal-to-noise ratio (SNR) by combining it with a preset noise power, thus deriving the conclusion that the output SNR in synchronous scenarios is linearly proportional to the coherent integration time. For asynchronous signal relay scenarios, generating independent local copies for the real signal and multiple relayed signals respectively; calculating the conjugate correlation integral of the local copy and the mixed input signal and simplifying the integration result, deriving the expression for the output SNR in asynchronous scenarios, and concluding that it is proportional to the input SNR and the coherent integration time. This method can provide theoretical support for the optimized design of the acquisition and tracking link in GNSS array receivers.

This invention relates to the field of digital filter technology and discloses a quantization-aware wide-linearity minimum error modulus adaptive filter. It utilizes quantization parameters to perform non-uniform low-bit quantization on the input signal and the desired signal to obtain the corresponding quantized values; a linearity factor is constructed based on the quantization parameters; a normalized correlation matrix between the input signal and the linearized error signal is constructed based on the non-circularity of the input signal, and a compensation matrix is ​​constructed in conjunction with the linearity factor; the quantized values ​​of the input signal at the current and historical times are obtained to construct an augmented input signal vector, and its product with the compensation matrix is ​​calculated to construct a corrected input vector; wide-linearity filtering is performed on the corrected input vector to obtain the output signal, and the error signal is calculated in conjunction with the quantized value of the desired signal; the weight vector at the next time step is updated using the corrected input vector and the error signal. This invention significantly reduces the cost and energy consumption of the analog-to-digital converter by introducing non-uniform low-bit quantization and a bias compensation mechanism, while maintaining a low steady-state error.

The present application belongs to the technical field of photovoltaic power generation operation evaluation, and discloses a photovoltaic power generation efficiency analysis and evaluation method. The method obtains multi-source operation data of a photovoltaic power generation station to be evaluated and carries out normalized correlation to obtain an evaluation basic record set; sequentially carries out evaluation object merging, evaluation window screening, dynamic irradiation calibration and power generation capacity correction to obtain a dynamic benchmark evaluation record set; then quantifies efficiency influence characteristic quantities of the dynamic benchmark evaluation record set to obtain an efficiency influence evaluation record set; and takes the dynamic benchmark power generation capacity as an evaluation benchmark to carry out loss attribution decomposition on a measured power generation deviation to obtain a multi-factor efficiency evaluation result. The present application can perform itemized characterization on limited power generation, peak clipping, wave posture, back gain, pollution shielding and residual deviation candidates.

The application discloses a local minimum spanning tree path planning method supporting global coordinate updating, and belongs to the field of image processing. The method comprises the following steps: grouping collected images according to an XY space coordinate system and an adjacency relation, calculating relative offset distances among the images and a normalized correlation index; confirming a starting group and a starting image of the starting group, constructing a minimum spanning tree by using a minimum spanning tree algorithm, and calculating global coordinates of the images in the starting group; in a current group and an adjacent group in which global coordinates have been solved, finding an image pair having a spatial adjacency relation with the images in the current group, determining a reference image and a starting image of the current group, calculating the global coordinates of the starting image of the current group, updating the global coordinates of the remaining adjacent images in the current group, and calculating the global coordinates of the remaining images in the current group along the minimum spanning tree; and images in the remaining groups are processed in the same way until the global coordinates of all the images in the groups are calculated, and a path planning graph is obtained. The application improves the image splicing precision and efficiency.

The application relates to the technical field of motor control, and discloses an optimal dynamic response deadbeat current prediction system for a permanent magnet synchronous motor, which executes the following steps: obtaining motor operation state data and historical sequence data; calculating error phase trajectories and detecting periodic disturbance modes through cross-mechanical cycle normalization correlation analysis; extracting historical feedforward compensation voltage vectors under the periodic disturbance modes and calculating net available voltage amplitudes; calculating the upper limit of a current change rate based on the net available voltage amplitudes and planning an optimal intermediate current trajectory; executing two-step deadbeat current prediction operation to calculate a nominal voltage vector; synthesizing the voltage vector and executing constraint verification; outputting a voltage instruction and updating an angle index memory table.

The invention discloses a local minimum spanning tree path planning method supporting global coordinate updating, which belongs to the field of image processing, and comprises the following steps: grouping acquired images according to an XY space coordinate system and an adjacency relation, and calculating a relative offset distance and a normalized correlation index between the images; determining a starting group and a starting group starting image, constructing a minimum spanning tree by adopting a minimum spanning tree algorithm, and calculating global coordinates of images in the starting group; searching an image pair having a spatial adjacency relation with the images in the current group in the current group and the adjacent group after global coordinate solving, determining a reference image and a current group initial image, calculating the global coordinate of the current group initial image, updating the global coordinates of the remaining adjacent images in the current group, and obtaining a current group image; calculating global coordinates of residual images in the current group along the minimum spanning tree; and similarly processing the images of the remaining groups until the global coordinates of the images in all the groups are calculated, and obtaining a path planning graph. According to the invention, the image splicing precision and efficiency are improved.

The application relates to an improved template matching-based target tracking algorithm implementation method, which solves the problems of time consumption, instability, surrounding similar target interference and the like of a traditional template matching algorithm by improving a template creation strategy, reading original image data to create a template, and the like; when searching for each frame, a scale factor is introduced to match with a current scale image and a predicted scale image, a region block with an equal size to the template is taken out from each pixel point in a search range as a center to carry out normalized correlation operation with the template, a target point position in the current scale and the predicted next scale image is obtained, a latest scale factor is obtained by judging a confidence degree, and the problem of tracking drift of the traditional template matching algorithm is solved; the application improves the applicability of the traditional template matching algorithm, considers tracking speed and precision, has small and fixed algorithm calculation amount, has low requirement on an embedded platform, and has a good application prospect.

The invention provides a meteorological knowledge question answering method and system, and the method comprises the following steps: a data preprocessing step, an index construction step, an initial retrieval step, a reordering step, a dynamic fusion weighting step and an answer generation step, the candidate content corresponding to each candidate index in the preliminary candidate index set obtained in the initial retrieval step is input into a pre-trained multi-modal reordering model, the correlation score of each candidate content relative to the query problem is obtained, and normalization processing and ordering are conducted on the scores; in the dynamic fusion weighting step, a text modal weight and an image modal weight of a modal layer are calculated based on a normalized reordering score, the weight of the modal layer obtained through fusion calculation, a preset index layer weight and a normalized correlation score are fused, and a final comprehensive score of each candidate content is calculated. And screening out a plurality of candidate contents with high comprehensive scores according to the scores. The meteorological knowledge question-answering method and system have good accuracy, specialty and usability.

This invention provides a method, apparatus, device, and medium for data link signal synchronization and rate identification, relating to the field of communications. The method includes: acquiring a complex baseband signal of a data link signal; generating first and second complex signal templates corresponding to first and second frame lengths, each containing a carrier with a synchronization tone frequency and a phase transition at the boundary of each frame; performing sliding correlation processing on the complex baseband signal and the first and second complex signal templates respectively, and normalizing the correlation results to obtain first and second normalized correlation curves; performing peak search on the first and second normalized correlation curves respectively, and performing cross-curve matching to determine burst synchronization points; comparing the peak scores of the two normalized correlation curves at the burst synchronization points to determine the burst rate pattern. This invention enables robust burst detection, automatic rate pattern identification, and frame synchronization of data link signals under low signal-to-noise ratio, frequency offset, and interference environments.

The application discloses an industry business and remote sensing technology correlation degree quantitative evaluation and grading method and device, belongs to the field of remote sensing technology application and remote sensing information management, and comprises the following steps: carrying out industry business type analysis and collection, refining keywords corresponding to different business types; carrying out remote sensing technology analysis and collection, refining keywords corresponding to different remote sensing technologies; carrying out literature retrieval in a paper database with the aid of the keywords, classifying each paper, and counting the number of papers and the time span of paper publication; calculating the integration degree of remote sensing technology in the industry business; calculating the support degree of remote sensing technology to the industry business; taking the industry business and the remote sensing technology as nodes, constructing a relationship network and calculating the node weighted degree centrality of the network; calculating the normalized correlation degree of the industry business and the remote sensing technology; and grading based on the normalized correlation degree. The application can quantitatively analyze the use degree of remote sensing technology in the industry business application.