46 results about "Signal region" patented technology

The application is a divisional application of 202610037205.X, and discloses a signal processing method, device, equipment, system, storage medium and product. A to-be-processed signal output by a target signal after passing through a nonlinear device is processed in sections to obtain a plurality of first signal regions; a preset type determination strategy is used to determine region types to which the plurality of first signal regions correspond respectively, wherein the preset type determination strategy is determined based on a steepness of a waveform shape; for each first signal region, a compensation strategy matched with a region type corresponding to the current first signal region is used to compensate a sub-signal in a corresponding region of the target signal for the current first signal region by using an ideal signal, to obtain a compensation signal corresponding to the current first signal region; and a pre-distortion signal corresponding to the ideal signal is determined according to the compensation signals corresponding to the plurality of first signal regions respectively. The application can provide an effective pre-distortion signal for a signal with complex and changeable forms.

The application provides a synchronous accelerator multi-harmonic beam trajectory reconstruction method and system, and relates to the technical field of accelerators. The method comprises the following steps: obtaining an accelerating cavity high-frequency signal of the synchronous accelerator, so as to generate a frequency-synchronized reference waveform according to the accelerating cavity high-frequency signal; setting a phase trigger window based on the reference waveform, so as to control the synchronous acquisition of beam signals of a full ring of the synchronous accelerator by a beam diagnosis device of the full ring; performing time domain analysis on the beam signals to obtain an effective beam signal interval, so as to calculate position data of the beam signals based on the effective beam signal interval; and reconstructing the motion trajectory of the beam according to the position data of the beam signals, which can accurately identify and associate the data of the same beam in the multi-harmonic acceleration process.

An ultrasonic fluid metering accuracy improvement method, comprising: exciting a first ultrasonic transducer by means of an excitation wave sequence and enabling a second ultrasonic transducer to operate, acquiring a received digital signal corresponding to the excitation wave sequence, and calculating a signal-to-noise ratio of the received digital signal, wherein the excitation wave sequence is a combination of a main wave and a self-damping wave, and the signal-to-noise ratio is a ratio of a peak-to-peak value of a received signal region to a peak-to-peak value of a noise region (S301); determining whether the signal-to-noise ratio is greater than a signal-to-noise ratio threshold, if not, adjusting an occupation time of high and low levels of the self-damping wave, and performing an excitation operation again on the basis of the adjusted excitation wave sequence until an actual signal-to-noise ratio is greater than the signal-to-noise ratio threshold (S302); and determining the excitation wave sequence corresponding to the actual signal-to-noise ratio being greater than the signal-to-noise ratio threshold as a target excitation wave sequence, and on the basis of the target excitation wave sequence, exciting the ultrasonic transducer to operate to perform a metering operation (S303), thereby significantly improving metering accuracy without increasing hardware costs. Also provided are an ultrasonic fluid metering apparatus, an electronic device, and a non-transitory machine-readable medium storing computer instructions.

This disclosure belongs to the field of semiconductor technology and addresses the problem of complex signal interconnections between memory chips and logic chips in three-dimensional chip stacking structures. It provides a memory chip, a logic chip, a chip stacking structure, and a memory. The memory chip includes 2A channel signal regions arranged sequentially along a first direction. Each channel signal region includes a first data signal region and a second data signal region arranged along the first direction. The first data signal region in the i-th channel signal region is symmetrical to the first data signal region in the (2A-i+1)-th channel signal region about a second axis, and the second data signal region in the i-th channel signal region is symmetrical to the second data signal region in the (2A-i+1)-th channel signal region about the second axis. Thus, after forming a three-dimensional chip stacking structure, the positions of the first and second data signal regions of the memory chip and the logic chip are aligned along a third direction, reducing the complexity of signal routing.

The present application relates to the technical field of intelligent inspection and operation and maintenance, and discloses a cloud-edge collaborative intelligent inspection and operation method for unattended photovoltaic power stations, comprising: acquiring a video stream of photovoltaic components and performing spatial coordinate registration; identifying a suspected abnormal heating region of interest and a healthy reference region, extracting the highest temperature and the reference temperature respectively, and calculating the temperature change rate; acquiring the real global GPS coordinates of the region of interest, and calculating the local real-time wind speed; constructing a heat flow decoupling model combining the differential heat capacity heat flow density and the differential convection heat flow density, calculating the severity index, and comparing the severity index with the fault determination threshold, and executing intelligent operation and maintenance decisions according to the comparison result. The present application removes the false signals of convection heat dissipation expansion, distinguishes the residual heat on the component surface due to thermal inertia from the internal real electric heat anomaly, thereby preventing the misjudgment of hot spots caused by environmental appearance interference, reducing the misjudgment rate and reducing invalid on-site personnel scheduling.

Systems and methods for dynamic base station functional split configuration management are provided. In one embodiment, a system for base station functional split management for uplink fronthaul traffic comprises: a baseband controller coupled to a plurality of radio units via a fronthaul network, wherein the plurality of radio units comprise a signal zone from which uplink signals are combined by the base station: a split controller configured to dynamically select and control a functional split of a respective uplink receive chain between the baseband controller and each of the plurality of radio units: wherein the functional split defines a demarcation point on the receive chain prior to which processing operations are executed by a radio unit and after which processing operations are executed by the baseband controller: wherein the split controller selects between a plurality of functional split options to dynamically control the functional split and the demarcation point.

This invention relates to the field of micro-motion surface wave exploration methods, and discloses an automatic extraction method for dispersion curves of micro-motion surface waves based on connected component analysis. The method includes cross-correlation extraction of virtual source surface wave shot gathers, frequency-wavenumber domain amplitude spectrum calculation, adaptive threshold binarization, connected component analysis, frequency-wavenumber domain surface wave mask generation, mask-amplitude matrix element multiplication, phase velocity picking, Hampel filtering, and automatic generation of dispersion curves. This invention utilizes image connected component analysis and other operations to process the amplitude spectrum of micro-motion surface waves, separating the surface wave signal region from the frequency-wavenumber domain amplitude spectrum image. It automatically identifies discrete phase velocity points from images containing only surface wave dispersion energy stripes and uses Hampel filtering to remove distortion points, ultimately achieving high-precision automated measurement of the dispersion curve.

This invention proposes a method and system for magnetic resonance reconstruction error correction based on multi-frequency priors, comprising: Step S1: acquiring undersampled k-space data and preliminary reconstructed k-space data; Step S2: constructing a multi-frequency prior constraint model including frequency equalization weighting and frequency partitioning masking, and establishing a coil joint modeling strategy for joint processing of real and imaginary parts; Step S3: using a self-supervised learning mechanism to train a neural network in the self-calibration signal region to predict k-space errors; Step S4: compensating the predicted errors into the preliminary reconstruction results to obtain the corrected magnetic resonance image. This invention solves the problem of detail loss caused by uneven error distribution across different frequency bands through multi-frequency priors, significantly reduces computational overhead through coil joint modeling, and achieves efficient and high-precision scanning-specific error correction without requiring complete sampling of training data.

The application discloses a display panel and a display device. The display panel has a display area and a non-display area. The non-display area surrounds at least part of the display area. The non-display area includes a binding area and a lead area located on one side of the binding area close to the display area. The display panel includes a substrate, a first insulating layer, a plurality of array wires and a plurality of touch wires. The array wires are arranged on one side of the substrate. The array wires extend from the binding area to the lead area. The first insulating layer is arranged on the side of the array wires away from the substrate. The first insulating layer is formed with a plurality of overlapping holes. The overlapping holes are located in the lead area. The touch wires are arranged on one side of the substrate. The touch wires extend from the display area to the lead area. Each touch wire is electrically connected to each array wire through the overlapping hole. The binding area includes a touch signal area. At least part of the overlapping holes is located between the touch signal area and the display area. The application can reduce the frame width of the display panel.

This application belongs to the field of electronic lock technology and discloses a locking device with a dual-position feedback mechanism, including a rack and pinion lock slider and a circuit board. A metal spring is provided on the bottom surface of the rack and pinion lock slider. The metal spring includes a metal plate and three contact springs extending downwards from the side of the metal plate. Three conductive grooves are arranged parallel to each other on the circuit board along the sliding direction of the rack and pinion lock slider. The three conductive grooves are sequentially designated as a first conductive area, a signal area, and a second conductive area. The first conductive area, signal area, and second conductive area are located on the path of the bottom of the three contact springs as the rack and pinion lock slider slides. The sliding of the rack and pinion lock slider causes the three contact springs to make sliding contact with the first conductive area, signal area, and second conductive area. When the rack and pinion lock slider slides to the locked or unlocked position, the three contact springs are in different positions within the three areas, thereby generating corresponding locking or unlocking signals, achieving dual-position feedback and ensuring safe use.

This invention relates to the field of signal analysis technology, and particularly to a fault identification method based on changes in acoustic pulse signals. The method involves establishing a basic database; performing difference analysis on faulty operating acoustic waves and faulty loop currents in the basic database compared to baseline operating acoustic waves and baseline loop currents to obtain significant feature thresholds; identifying suspicious operating acoustic waves and suspicious loop currents based on real-time operating acoustic waves, real-time loop currents, and significant feature thresholds; building a fault identifier based on the attention mechanism in machine learning, pre-training the fault identifier until convergence, and then adjusting the attention weights based on suspicious operating acoustic waves and suspicious loop currents; adjusting the significant feature thresholds until the confidence level of the fault identifier is greater than or equal to a preset threshold; and using the fault identifier to identify faults in target equipment. This invention can significantly improve the ability to distinguish between acoustic pulse signals of similar faults.

The application discloses a current enhancement type IGBT device and a manufacturing method thereof, and relates to the technical field of semiconductor power devices. The current enhancement type IGBT device comprises a gate signal region and an active region, different positions in the active region contain two or more cell designs, different threshold voltages are arranged in the different cell designs, and the different cells provided with the different threshold voltages are selectively designed with a charge blocking layer or a current enhancement layer at a groove bottom position. In the current growth process after the IGBT device is turned on, the strong electric field at the groove bottom triggers the current enhancement layer in a local region, causes NPN to be turned on, and greatly enhances the current; and due to the design of the different threshold voltages, the NPN triggering becomes controllable and repeatable, and the current processing capacity of the IGBT is further enhanced.

This invention belongs to the field of underwater acoustic signal detection technology and provides a method for detecting impact sound signals based on a deep learning image segmentation model. The method first performs a short-time Fourier transform on the hydrophone-received signal, extracting the real, imaginary, amplitude, and phase information to construct a four-channel time-frequency feature matrix, which is then normalized. Subsequently, a deep neural network model is constructed, including a master encoder, a U-Net mask branch, and a master decoder. The master encoder uses dilated convolution to extract multi-scale high-order time-frequency features, the U-Net mask branch generates a high-resolution spatial attention mask to identify signal regions, and the master decoder combines the mask with skip connections to fuse features for signal reconstruction. By designing a cross-entropy loss function and using the Adam optimizer for iterative training of the model, the final input of the signal to be detected into the trained model outputs a classification probability matrix, achieving pixel-level classification of impact sound, pulsating sound, and interference noise.

This disclosure provides an optical module, including a circuit board and an optical emitting component. An electrical signal output by a driver chip on the circuit board is converted into signal light by the optical emitting component. The optical emitting component includes a substrate, a first differential signal region, a first filter capacitor, and an EML laser. The circuit board has a first signal pin connection, and the first filter capacitor is connected across the first signal pin and the first differential signal region, replacing wire bonding connections, reducing impedance discontinuities between the driver chip and the first differential signal region, and improving signal integrity.

This application proposes a method and device for monitoring electricity theft, belonging to the field of electricity theft monitoring technology. The method includes: acquiring a set of historical labeled samples; enhancing the historical labeled sample set to construct a candidate set of enhanced features, calculating an enhancement discrimination index to obtain a first target feature source set; compressing the historical labeled sample set to construct a candidate set of compressed features, calculating a compression discrimination index to obtain a second target feature source set; and training an electricity theft behavior recognition model based on the first and second target feature source sets, used to analyze real-time electricity consumption monitoring signals and output electricity theft behavior warning signals. This application solves the technical problems of insufficient differentiation between electricity theft signals and false alarm signals and low accuracy in electricity theft behavior recognition in existing technologies, achieving the technical effect of improving the differentiation between electricity theft signals and false alarm signals and increasing the accuracy of electricity theft behavior recognition.

This invention relates to a method for optimizing the placement of bridging capacitors to improve signal quality across split regions on a PCB board. The method includes the following steps: establishing a bridging capacitor simulation model for signal lines crossing a split region of a reference plane; setting the bridging capacitor simulation model to a movable state, using the distance between the bridging capacitor and the signal line as a scanning variable; performing a step-by-step scan within a preset distance range to obtain signal quality parameters at different distances; determining the maximum effective compensation distance of the bridging capacitor relative to the signal line based on the scan results and a preset judgment criterion; and determining the number of bridging capacitors and their placement positions based on the maximum effective compensation distance and the actual width of the cross-segment signal region to be compensated. This invention quantifies the impact of capacitor placement distance on signal quality, scientifically determines the maximum effective compensation distance of the bridging capacitors, and enables reasonable planning of the number and placement of capacitors, balancing wiring density and cost while ensuring signal quality.

At least some embodiments of this disclosure relate to a system for processing cardiac information. The system includes a processing unit configured to: receive an activation waveform comprising a set of activation waveform data of multiple signal segments collected at multiple locations; and receive a range of window sizes. For each of the multiple signal segments, the processing unit is further configured to: determine a set of confidence values ​​by traversing the multiple window sizes within the range of the window sizes. For each of the multiple signal segments, the processing unit is further configured to: determine one of a plurality of local cycle lengths based on the selected window size for each of the multiple signal segments; and generate a representation of the multiple local cycle lengths.

This invention discloses a blind detection method for broadband spectrum signals in non-cooperative reception scenarios, belonging to the field of communication signal processing and spectrum sensing technology. Taking the power spectral density estimate of the broadband received signal as input, the method first preprocesses the power spectrum using small-scale closing operations; then, it constructs a multi-scale structuring element set and performs scale-by-scale morphological opening operations and residual peak-shaving iterations on the preprocessed spectrum data to obtain and correct the baseline estimation result; next, it applies one-dimensional total variational denoising to the baseline-corrected spectrum; finally, it uses a hysteresis dual-threshold mechanism to complete the candidate signal region screening and statistics. This invention effectively overcomes the problems of non-flat noise baseline fluctuations in complex electromagnetic environments and signal edge blurring under low signal-to-noise ratio conditions. It has advantages such as high baseline estimation accuracy, high detection probability, low false alarm rate, and strong robustness, and is suitable for signal detection scenarios in cognitive radio, broadband reconnaissance receivers, and spectrum monitoring equipment.

An image sensor including: a sensor substrate including first pixels, second pixels, third pixels, and fourth pixels; and a color separation lens array, wherein each of the first pixels includes first and second focus signal regions that independently generate focus signals, and the first and second focus signal regions are arranged to be adjacent to each other in a first direction in the first pixels, and each of the fourth pixels includes third and fourth focus signal regions that independently generate focus signals, and the third and fourth focus signal regions are arranged to be adjacent to each other in a second direction different from the first direction in the fourth pixels.

This invention discloses a method for removing multipath interference in tunnel tracks based on zero-Doppler clutter points, primarily addressing the problem of multipath interference in tracks. The steps of this invention are as follows: Step 1, establish a millimeter-wave radar signal receiving model; Step 2, obtain the distance and velocity of the target within the tunnel; Step 3, use the maximum likelihood algorithm to obtain the angles of the target, left multipath, and right multipath, respectively; Step 4, generate the zero-channel clutter point vector at each moment; Step 5, obtain the angular position of the tunnel at each moment; Step 6, remove multipath interference from the track using the target region and the multipath region. This invention, by utilizing zero-Doppler channel clutter points, divides the signal region and multipath region solely based on echo data, conveniently and efficiently removing multipath interference from tunnel tracks.

The application relates to the technical field of detection instruments, in particular to a multi-material system element determination and analysis method, device, equipment, medium and program product. The method comprises the following steps: acquiring original spectrum data generated by a target sample under the action of an excitation source; processing the original spectrum data based on a preset pretreatment process to obtain net spectrum data, extracting a preset type of characteristic parameter from the net spectrum data, and generating a characteristic vector describing the target sample; inputting the characteristic vector into a pre-trained classification model to obtain a matrix category label of the target sample output by the classification model; selecting a corresponding target deconvolution model according to the matrix category label, performing deconvolution separation processing on an overlapping signal region in the net spectrum data, and obtaining determination information of the target sample, wherein the determination information comprises net intensity contribution values of each component in the target sample. The method can improve the accuracy of element determination and analysis results of a multi-material system.

This invention discloses a method, apparatus, and storage medium for determining the evaluation value of a tissue window in stroke, relating to the field of medical imaging technology, and primarily aimed at improving the evaluation accuracy of the tissue window in stroke. The method includes: based on the DWI and ADC sequences of the examined object, obtaining the first target evaluation region R in the DWI sequence. dwi Based on the FLAIR sequence of the object under inspection and the first target evaluation region R dwi Obtain the second target evaluation region R infarction The second objective evaluation region R infarction To compare with the first target evaluation region R dwi High-signal regions of overlapping FLAIR sequences; based on the first target evaluation region R dwi The corresponding first evaluation volume and second target evaluation region R infarction The corresponding second evaluation volume is used to calculate the stroke tissue window evaluation value of the examined subject.

This invention provides a magnetic resonance imaging apparatus, an image processing apparatus, and an image processing method. A simple technique is used to perform appropriate phase correction on a complex image to be subjected to complex addition operations, suppressing artifacts in the signal region and reducing noise in the background region. Two or more smoothed phase images with different smoothing degrees are obtained by applying two or more smoothing processes to the phase image of the complex image. Weights for these smoothed phase images are calculated based on the signal-to-noise ratio (SNR) of the intensity image, and addition operations are performed with each signal value weight to create a smoothed phase image for correction. After correcting the phase of the complex image using this smoothed phase image, complex addition operations are performed on the phase-corrected complex image. Thus, phase correction equivalent to a scheme that reduces smoothing in the signal region and enhances smoothing in the background region is achieved.

The application discloses an unmanned equipment autonomous navigation and collaborative operation system and method in a signal-free area, comprising: a self-organizing network equipment; a plurality of types of unmanned operation equipment, wherein the unmanned operation equipment is in communication connection with the self-organizing network, and the unmanned operation equipment is provided with a first positioning module, a sensing module, an attitude sensor and a mapping module; a second positioning module, wherein at least three wireless micro stations are arranged, and a positioning terminal is arranged on a safety helmet of a construction worker, and the positioning terminal is in communication connection with the self-organizing network of the self-organizing network equipment; an edge computing platform, comprising a control module, a storage module, a fusion module and a path planning module, wherein the control module is in communication connection with the self-organizing network, and the storage module, the fusion module and the path planning module are connected to the control module respectively. The application solves the problem that the existing unmanned equipment operation is highly dependent on a public network.

This invention relates to a method for detecting flow signals in tubular tissue based on geometric correction and deep learning, belonging to the fields of medical image processing and computer vision technology. It solves the problem of low accuracy in detecting flow signals within the lumen of existing drainage devices. The method includes: constructing a tubular tissue flow signal detection model and obtaining a training dataset; initializing the detection parameters of the tubular tissue flow signal detection model based on the shape of the bounding boxes of positive flow signal regions in the training dataset; training the parameter-initialized detection model using the training dataset; acquiring an image including the tubular tissue to be detected and performing tilt correction to obtain a corrected image; passing the corrected image through the trained tubular tissue flow signal detection model to obtain the detection boxes and confidence scores of the positive flow signal regions; and performing inverse tilt correction on the detection boxes of the positive flow signal regions in the corrected image to obtain the detection boxes of the positive flow signal regions of the tubular tissue in the image and their corresponding confidence scores.

A positioning and information transmission method of a hydrological monitoring device in a single-free area combines a wireless communication technology with a hydrodynamics-based hydrological monitoring device, which can solve the problem of hydrological monitoring information transmission in a signal-free area such as a hydraulic tunnel. First, magnetic beacons each composed of an LoRa (long distance radio) terminal device and an ultra-wideband technology are arranged at the top of the interior of a signal-free tunnel at an interval of 500 m. When a hydrological monitoring device in use enters a coverage area of the magnetic beacon, the LoRa terminal device in the magnetic beacon will automatically start an internal communication protocol and receive data acquired by the device by monitoring, the data is transmitted based on a mutual LoRa communication protocol between the magnetic beacons, and finally, the data is transmitted to a ground central control system for storage.

The present application relates to the technical field of video analysis, and discloses a railway trestle video intelligent analysis method based on an oil depot automatic control signal trigger, wherein the present application takes the accurate automatic control signal of an oil depot automation system as a precise trigger source and a space-time positioning anchor point for video intelligent analysis, so as to automatically focus on the most relevant space-time area when a key event occurs; and a video structured preprocessing method combining spatial priori and process time sequence is adopted to convert the original video into a standardized sample with clear area structure and stage structure, so as to establish a stable mapping relationship among the signal, the area and the behavior; and through the explicit modeling of the physical coupling relationship between devices and the stage dependency relationship of the operation process, the current behavior is assisted to be judged by using the historical state, and the accuracy and comprehensiveness of the railway trestle video intelligent analysis are significantly improved.

A vacuum cleaner is provided. The vacuum cleaner includes a main body and a front detection sensor disposed to face forward in a suction head coupled to one end of a connection pipe extending from the main body, configured to transmit a forward signal, and receive a signal reflected from an obstacle located in a forward signal area by the forward signal, so as to detect the obstacle. The front detection sensor includes a transmission unit configured to transmit a first forward signal for detecting an obstacle located in a first signal area, and a second forward signal for detecting an obstacle located in a second signal area included in the first signal area, thereby diffusing the transmitted forward signals.

This invention belongs to the field of wireless communication technology, specifically relating to an integrated air-space-ground intelligent communication monitoring system for areas without public network signals. The system includes: ground-based sensing nodes deployed in specific areas for data acquisition and preprocessing; an airborne mobile relay platform mounted on an unmanned aerial vehicle (UAV) for monitoring, data aggregation, and wireless power replenishment; a space-based constellation backbone network composed of low-Earth orbit (LEO) satellites for constructing backhaul links; and a remote integrated control terminal. The airborne platform dynamically plans its path and performs wireless beam replenishment based on parameters such as the power levels of the ground nodes. When the airborne platform's power is insufficient, it can switch to a fixed base station to enhance coverage. This invention improves the system's lifespan and monitoring flexibility through three-layer air-space-ground collaboration and an on-demand wake-up power replenishment mechanism, achieving reliable backhaul of high-value information and flexible resource reuse in complex environments.

The application discloses an NB-IoT access signal quality prediction method, system and device and a storage medium. The method comprises the following steps: acquiring wireless signal measurement data of a plurality of different network entity objects in a preset area and performing feature extraction to obtain wireless signal features and geographical position information of the network entity objects; the preset area is divided into a plurality of grid areas, and the wireless signal features of the network entity objects in each grid area are counted to obtain NB-IoT signal grid features and 4G signal grid features of each grid area; a grid feature correlation model of the preset area is established; the 4G signal area features of a target area are acquired, the 4G signal area features are matched, target NB-IoT signal grid features are obtained, and then the NB-IoT access signal quality of the target area is predicted. The application improves the efficiency and accuracy of the NB-IoT access signal quality prediction and can be widely applied to the technical field of Internet of Things.