8 results about "Normalized correlation" patented technology

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.

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 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.