7 results about "Random coding" patented technology

This application discloses a random network coding method, apparatus, storage medium, and computer device based on coding dimension interval constraints. The method includes: dividing the data to be transmitted into multiple data batches, each data batch including multiple raw data packets; for each data batch, dynamically determining the current actual coding dimension of the data batch within a preset coding dimension interval based on the current network state information; repeatedly selecting raw data packets from the data batch with a number equal to the current actual coding dimension, and linearly combining the multiple selected raw data packets using random coding coefficients to generate coded data packets; sending each generated coded data packet to a receiving end, so that when the receiving end determines that the number of received linearly independent packets has reached the current actual coding dimension, it constructs a decoding matrix based on the random coding coefficients carried in the linearly independent packets, and recovers all the raw data packets in the data batch through the decoding matrix.

Certain exemplary embodiments provide an unbreakable encryption system and method through the use of dual, independent random coding between sender and receiver and a three-step transmission process. Said system also incorporating within the encryption method the addresses of both sender and receiver such that they are undiscoverable by an unintended party.

The present application is directed to the problem that static DNA encoding and calculation rules are single, encryption process is separated from plaintext, and plaintext is vulnerable to attack, and proposes a color image encryption method based on new 4-dimensional hyperchaos and DNA random encoding calculation. The method first designs a new 4-dimensional hyperchaotic system, iterates the system to generate multiple pseudo-random sequences, generates new pseudo-random sequences and matrices by calculation and modification, decomposes the color image into R, G and B channel components, and then fuses them into a matrix, then encodes and calculates the image and the pseudo-random matrix according to the newly generated pseudo-random sequence, and then performs DNA random decoding, decomposes the matrix into channel components, and fuses to generate the final ciphertext image, wherein the initial value of the chaotic system is calculated by the SHA-512 algorithm. The encryption method proposed by the present application not only has large key space and strong sensitivity to plaintext, but also can effectively resist statistical, brute force and differential attacks.

The application relates to a circuit board layout method and device, electronic equipment and a storage medium. The method comprises the following steps: analyzing circuit information to be laid out to obtain a device loop; randomly encoding the device loop to obtain an initial encoding vector group; determining layout data of each device to be laid out in the device loop according to the initial encoding vector group and preset layout data of a first device; calculating a target function value according to the layout data; adjusting the initial encoding vector group to obtain a target encoding vector group, with the target being to minimize the target function value; and obtaining target layout data of each device to be laid out in the device loop according to the target encoding vector group and the preset layout data of the first device, and realizing automatic layout of the devices to be laid out according to the target layout data, thereby improving the circuit board layout efficiency.

This invention proposes a clutter suppression method suitable for pseudo-randomized ground-penetrating radar (GPR), belonging to the field of GPR data processing. It includes: converting A-SCAN data into a two-dimensional square matrix; using the equivalent matrix gamma norm and equivalent minimum-maximum concavity penalty as non-convex substitutions for rank and sparsity; low-rank sparse matrix decomposition; and A-SCAN stitching imaging. This method addresses the problem of inaccurate rank estimation caused by directly using large-scale B-SCAN data in existing clutter suppression methods. It uses a single A-SCAN as the smallest processing unit, arranging them sequentially into a two-dimensional square matrix to achieve accurate rank estimation. By using the equivalent matrix gamma norm and equivalent minimum-maximum concavity penalty as non-convex substitutions for rank and sparsity, it achieves a more accurate estimation of rank and sparsity compared to traditional convex substitution methods. Finally, clutter suppression results are obtained through low-rank sparse matrix decomposition, achieving clutter suppression for pseudo-randomized ground-penetrating radar.

This invention belongs to the field of multimodal data management technology. It provides a course management and analysis system for multimodal data, comprising: synchronously transmitting physical feature signals carrying pseudo-random codes through a physical reference source; acquiring visual image streams and non-visual physical perception streams, extracting coded phases and time-domain feature points; performing time-domain mapping and calculating nonlinear deviations to construct a dynamic second-order clock drift compensation function; using this function to correct timestamps and normalize the time axis to achieve multimodal data alignment; and finally generating a training course continuity analysis and evaluation report based on the aligned data. This invention can suppress clock drift and transmission jitter under strong electromagnetic interference, achieving high-precision multimodal time alignment and ensuring the timing consistency and evaluation accuracy of training data.

This invention discloses a method for combating intermittent sampling interference based on Otsu's method for random orthogonal subpulses. The method includes: establishing intra-pulse and inter-pulse randomly coded orthogonal frequency modulated waveform models; encoding and orthogonally frequency modulating intra-pulse and inter-pulse subpulses to obtain compressed subpulses; obtaining the inter-class variance of the compressed subpulses according to a multi-level Otsu algorithm; obtaining an optimal threshold based on the inter-class variance of the compressed subpulses; and determining the difference between the target signal and three types of intermittent sampling interference signals based on the optimal threshold. This invention can improve the accuracy of identifying and distinguishing the target signal and the three types of intermittent sampling forwarding interference signals, effectively combating intermittent sampling forwarding interference.