9 results about "Linear code" patented technology

The invention discloses a reciprocal calculation instruction sequence generation method oriented to a heterogeneous processor, and belongs to the field of compilation optimization and code generation. Aiming at the problems of instruction redundancy, weak precision control, poor hardware adaptation and high manual dependence of an existing method in a heterogeneous environment, characteristics of a reciprocal instruction and an operand are accurately identified by linearly scanning heterogeneous object codes (including vectorization, scalar and complex instruction sequences); in combination with hardware characteristics of RISC / SIMD / VLIW / DSP and the like, a multi-round iteration precision improvement and temporary register optimization allocation strategy is adopted, differential generation logic is formulated, and a high-precision low-redundancy instruction sequence is generated. The method comprises linear code scanning classification, reciprocal instruction and operand identification, cross-architecture generation logic rule formulation, instruction sequence generation and legality verification. Full-process automation is achieved, manual intervention is reduced, the execution efficiency and precision of reciprocal calculation of the heterogeneous processor are improved, and the method is suitable for embedded systems, high-performance calculation and other scenes.

The invention discloses a method for constructing a first-order elastic five-spectrum value function based on disjoint linear codes, which is characterized by comprising the following steps of: obtaining a group of disjoint linear codes according to the relation among related knowledge, set parameters and the set parameters of a finite field so as to divide the whole space; on the basis of a group of disjoint linear codes, resetting the value range of parameters, and generating one linear code and one linear code according to the generation principle of the disjoint linear codes; setting two sets to define a support set of a function; constructing a first-order elastic five-spectrum value function by using a one selection mode through giving two definition methods of the function; a truth table and a Walsh spectrum are given according to the defined first-order elastic five-spectrum value function to be depicted and verified, and therefore a Boolean function is constructed to be used for encryption. According to the method, a direct construction method of the first-order elastic five-spectrum value function is researched on the basis of the disjoint linear codes, starting from an existing Boolean function is not needed, application conditions and construction complexity are reduced, and construction efficiency can be improved.

This invention discloses a data encoding system and method based on simplicated complex homogeneous linear codes. The system includes: a parameter initialization module for initializing the construction parameters of an n-ary multivariable function F; a function definition module for generating the multivariable function F based on the construction parameters; and a definition set extraction module for constructing a definition set D. F ; Linear code generation module, used to generate linear codes according to the definition set D F This invention employs an inner product mapping to construct a basic p-ary linear code corresponding to the defined set; a homogenization processing module is used to homogenize the multivariable function F to obtain an (n+1)-ary homogeneous function; and a homogenized code generation module is used to generate a homogenized definition set based on the homogenized function, and then generate a homogenized p-ary linear code based on this set. This invention solves the problems of existing p-ary linear code construction techniques being complex in structure, having uncontrollable parameters, or being difficult to analyze weight distribution, leading to difficulties in efficient deployment in engineering.

The application discloses an image semantic segmentation method applied to an electronic device comprising an image semantic segmentation model, wherein the image semantic segmentation model comprises a down-sampling module and a sparse multi-layer perception module; the image semantic segmentation method comprises the following steps: acquiring an original image, extracting a down-sampled feature map of the original image by using the down-sampling module; performing linear coding on the down-sampled feature map to obtain a linear coding feature map; performing feature extraction on the linear coding feature map by using the sparse multi-layer perception module to obtain an output feature; training the image semantic segmentation model by using the output feature, and performing an image semantic segmentation task by using the trained image semantic segmentation model; and the application can balance the speed and accuracy of image semantic segmentation, so that the image semantic segmentation operation has a faster speed and higher accuracy. The application also discloses an image semantic segmentation device, an electronic device and a storage medium, which have the above beneficial effects.

Provided is a transmitter that shapes uniformly distributed bits into non-uniformly distributed bits according to a parity check matrix of a linear code such that a product of the parity check matrix and the non-uniformly distributed bits is equal to the uniformly distributed bits. Similarly, a receiver is provided that restores uniformly distributed bits from non-uniformly distributed bits by multiplication of the non-uniformly distributed bits with a parity check matrix.

The application relates to a design method of a nonlinear corrector of a true random number generator. A kind of n input m output corrector function is constructed, and the technical scheme is: a group of bases of a finite field is selected, and an isomorphic mapping from to an [n-m, m, t] equidistant linear code is established. Component functions of the corrector are constructed so that each component function is cascaded by 2 m n-m element affine functions, the coefficients of the affine functions are one-to-one corresponding to 2 m vectors in the [n-m, m, t] equidistant linear code, and the constant term of each n-m element affine function cascaded by the i th component function is equal to the value of the i th input symbol. By using the design method, the algebraic degree of the obtained nonlinear corrector is m+1, the flexibility order is t-1, the correction order is currently optimal t, and the correction order is greater than the function flexibility order. The corrector obtained by the application has the ability to resist linear attack, correlation attack and algebraic attack, and has wide application prospects in cryptography and random simulation.

One or more methods, devices, and / or systems can provide techniques for linear encoding channel state information (CSI) compression for multi-transmission / reception point (mTRP). This can provide improvements to wireless communication systems, for example, by improving resilience against transmission errors and mismatches, joint or separate compression of channel matrices from different TRPs, and / or fallback to legacy CSI reporting operations in mTRP CSI compression.

The invention relates to a digital signature method based on coding, and belongs to the technical field of information security. A trusted center generates a public key and a private key and sends the public key and the private key to a signer, and then the signer signs a message. Except a legal signer, the generated signature is difficult to counterfeit by any other person, but any person can verify the validity of the signature. Besides, the problem of difficulty in decoding of random linear codes in a coding theory is combined with digital signature, quantum computing attacks can be effectively resisted, the robustness of a signature scheme in a noise channel is improved, and the storage and transmission overhead of signature results is reduced.

The invention provides a multi-energy supply and demand balance method and system, and the method comprises the steps: carrying out the data preprocessing of collected electric energy data, thermal energy data, hydrogen energy data and environment parameters, so as to generate a standardized data matrix; sequentially carrying out grey correlation analysis and clustering division based on the standardized data matrix, and quantifying an energy complementary relationship and piecewise linear coding to screen out key contradictory features; constructing an electricity-heat-hydrogen dynamic equation based on the key contradictory features, and performing space-time parameter configuration based on the electricity-heat-hydrogen dynamic equation to generate a digital twin multi-energy coupling model; extracting model constraint parameters based on the digital twin multi-energy coupling model; and inputting the model constraint parameters into a deep reinforcement learning network, updating the reward function weight in combination with a real-time state, generating a dynamic scheduling strategy, and encoding the dynamic scheduling strategy into an equipment executable scheduling instruction. The method has the advantages of being accurate in optimal scheduling strategy, efficient in supply and demand balance, high in system self-adaptive capacity and capable of improving the energy utilization rate.