9 results about "Shift matrix" patented technology

A communication method and a communication apparatus in which a device may perform encoding or decoding based on an LDPC matrix, the LDPC matrix being determined based on an LDPC basis matrix, Zc, a, and b, a first region of the basis matrix including L types of elements, 2 < = L < = 2a * b, a and b not being 1 at the same time, Zc, a, and b being used to lift the elements in the first region to a (a * Zc) * (b * Zc) matrix, the matrix including (a * b) (Zc * Zc) matrices, each Zc * Zc matrix is an all-zero matrix or a cyclic shift matrix, the first sub-matrixes of the L elements are different, and the first sub-matrixes are matrixes formed by replacing the cyclic shift matrixes in (a * b) (Zc * Zc) matrixes of the matrix with the lifted corresponding elements with Zc * Zc unit matrixes. According to the method, the decoding performance of the LDPC code can be improved.

The application discloses a wireless covert detection method and system based on intelligent reflecting surface assistance. The method is as follows: a system model is established, and detection error probabilities of a legal receiver and an illegal detector are derived; an optimal detection threshold is obtained by analyzing an expression of the detection error probability, and the detection error probability is determined; a joint optimization problem of an intelligent reflecting surface phase shift matrix and a transmission power is established; a lower bound of the optimization problem is selected to simplify the optimization problem, and a simplified optimization problem is obtained; the simplified optimization problem is solved, and an optimal intelligent reflecting surface phase shift matrix is determined, and a feasible transmission power is selected to meet a covert constraint requirement. The system comprises a model establishment module, a detection error probability determination module, a joint optimization problem construction module, an optimization problem simplification module and an optimal intelligent reflecting surface phase shift matrix determination module. The application improves the detection performance of the legal receiver, and reduces the detection performance of the illegal detector, so that the requirement of the covert constraint is met.

The application discloses a data encryption method, and belongs to the technical field of text encryption. First, the text data is converted into binary code and split into odd and even bit sequences, and corresponding matrices are constructed respectively; the odd and even shift matrices are obtained by generating matrix row / column state bits, calculating shift amount and performing cyclic shift; then the rows and columns of the shift matrix are converted into decimal numerical vectors, combined with fractal offset key vectors for encryption, and four types of encryption matrices of odd row, odd column, even row and even column are generated; the same type of matrices are subjected to XOR processing, and the confusion value is generated based on the odd part and the even part related value, so that the mixed enhanced encryption matrix is obtained; finally, the two types of enhanced matrices are restored into sequences and reorganized according to the odd and even bits, and the ciphertext is output. Through the multilevel processing of bit splitting, matrix shifting, fractal key encryption and XOR confusion, the complexity and anti-cracking ability of data encryption are significantly improved, and the safety of data transmission and storage is ensured.

This invention discloses a lithography simulation method and system based on circular sampling function decomposition and superimposed pupil shift matrix. The method includes: sampling the shape function and pupil function of the extended light source to obtain the corresponding superimposed pupil shift matrix; processing the superimposed pupil shift matrix, the frequency domain circular sampling function matrix of the extended light source and the pupil plane to obtain the frequency domain cross-transmission coefficient matrix and the projection matrix; performing singular value decomposition on the projection matrix to obtain the singular value decomposition result; processing the spatial domain circular sampling function matrix based on the singular vectors to obtain the convolution kernel matrix; constructing a spatial domain image simulation model based on the singular value decomposition result, the convolution kernel matrix and the initial Hopkins model; and obtaining the spatial domain image simulation result based on the spatial domain image simulation model. This invention utilizes the superimposed pupil shift matrix method and analytical circular sampling function decomposition, which can reduce the direct calculation and storage of the TCC matrix and significantly reduce the computational cost required to obtain the kernel.

The application discloses an intelligent experiment table multi-sensing data distributed storage method based on edge calculation and relates to the technical field of edge calculation, which comprises the following steps: generating a double-layer segment matrix based on continuous sampling data of an intelligent experiment table; obtaining a tail trace residual matrix based on the double-layer segment matrix; constructing a shift matrix based on the tail trace residual matrix and generating a tail trace adhesion-propagation matrix based on the shift matrix; calculating a tail trace cutting cost based on the tail trace adhesion-propagation matrix; calculating the fitness of each particle in a particle swarm based on the tail trace cutting cost; iteratively updating the speed and position of each particle in the particle swarm based on the fitness to determine an optimal distributed write matrix; and obtaining a distributed storage result based on the optimal distributed write matrix; and the application improves the experiment data recovery efficiency in a distributed storage environment.

The present disclosure provides a transfer treatment bed positioning calibration method. The transfer treatment bed positioning calibration method comprises: statistically distributing pose error of a transfer treatment bed in a motion process based on historical motion data; constructing a transition probability function and an observation probability function based on the pose error distribution; constructing a state transition matrix and an observation probability matrix based on the transition probability function and the observation probability function, and constructing a hidden Markov model; solving the hidden Markov model to obtain a best candidate error of the transfer treatment bed in a current motion process, and further obtaining an optimal candidate pose; calculating a shift matrix between a simulated image of the optimal candidate pose of the transfer treatment bed and an actual image to correct the optimal candidate pose and obtain a target pose; generating a motion trajectory based on a quintic polynomial trajectory planning algorithm to adjust the transfer treatment bed to the target pose. The present disclosure also provides a transfer treatment bed positioning calibration device, equipment, storage medium and program product.

The application discloses a chaotic communication and sensing integrated signal processing method and device and a communication system. The scheme provided by the application divides an information bit sequence into a modulation bit sequence, an index bit sequence and a PPM bit sequence, processes an initial signal vector by combining a pulse position modulation technology, optimizes spectral utilization by double control of the modulation bit and the index bit, segments the initial modulation signal according to PPM orders and generates a signal vector, and offsets the signal vector in the time domain by combining a shift matrix. The scheme utilizes the good autocorrelation characteristics and the low cross-correlation characteristics of an LFM signal, and on the basis of the original DCSK-LFM modulation mode, combines pulse position modulation and index modulation, so that the same carrier can carry more information, thereby improving the transmission rate when applied to a JRC system and the overall performance of the communication system.

The invention belongs to the technical field of position estimation in the aviation field, and discloses a relative position estimation method and system in the approaching or landing process of an aircraft, and the method comprises the steps: determining the displacement and attitude of the current aircraft relative to a reference position and a reference attitude according to the current attitude and position of the aircraft; then, constructing a virtual runway image by utilizing the airport landscapes three-dimensional database, constructing a displacement matrix space and a rotation matrix space at the same time, and searching an optimal displacement matrix and an optimal rotation matrix in the matrix space by using an iteration method; the matrix can minimize an error between a virtual runway image feature and a runway feature on an image obtained by a real EVS, so that the displacement of an aircraft relative to a runway is accurately estimated by using an optimal displacement matrix. According to the invention, the problem of inaccurate relative position estimation in the approaching or landing process of the existing aircraft is solved.

The invention discloses a data encryption method, and belongs to the technical field of text encryption. The method comprises the following steps: firstly, converting text data into binary codes, splitting the binary codes into odd bit sequences and even bit sequences, and respectively constructing corresponding matrixes; the method comprises the following steps: generating a matrix row / column status bit, calculating a shift amount and executing cyclic shift to obtain an odd shift matrix and an even shift matrix; converting rows / columns of the shift matrix into decimal numeric vectors, and performing encryption in combination with fractal offset key vectors to generate four types of encryption matrixes of odd rows, odd columns, even rows and even columns; xOR processing is performed on the same type of matrixes, and a confusion value is generated based on correlation values of odd parts and even parts, so that a hybrid enhanced encryption matrix is obtained; and finally, restoring the two types of enhanced matrixes into a sequence, recombining according to odd and even bits, and outputting a ciphertext. According to the method, through multi-level processing of bit splitting, matrix shifting, fractal key encryption and XOR confusion, the complexity and cracking resistance of data encryption are remarkably improved, and the security of data transmission and storage is guaranteed.