8 results about "Coding theory" patented technology

The present application belongs to the technical field of information security and coding theory, and provides a minimal linear code construction method, a secret sharing method and a secret sharing system, comprising: first defining a trace function in a finite field, constructing a two-to-one mapping, a vector Boolean function with a finite discrete value of Walsh spectrum, and then defining a code word set based on the function, embedding the output of the trace function into a linear code generation expression to generate a minimal linear code with a weight set and a support without strict inclusion; then using the dual code to establish a one-to-one correspondence between the participants and the dual code coordinates, the minimal code word support and the minimum access structure, embed the secret generation share distribution, and the participants meeting the conditions restore the secret through linear combination. The system contains four functional modules, which are suitable for distributed storage, blockchain key management and other scenes, and realize safe, efficient and expandable secret sharing. The present application can improve the security, efficiency and flexibility of secret sharing, and is suitable for multiple scenes and easy to expand.

The invention relates to a big data dual homomorphic coding compression and privacy protection method, system and device and a medium, and the method comprises the following steps: creating a dual homomorphic coding scheme based on a dual homomorphic coding theory, carrying out the evaluation according to a preset classification standard, and storing the scheme in a scheme library in a classified manner; selecting a target dual homomorphic coding scheme meeting user requirements from a scheme library to compress and encrypt original data input by a user to obtain dual homomorphic coding data; directly applying a data analysis or data modification application task request input by a user to the dual homomorphic coding data to obtain a data analysis or data modification result in a dual homomorphic coding form; and outputting a data analysis or data modification result according to a mode specified by a user. The method can be widely applied to the technical field of big data processing and privacy protection.

The invention relates to the cross technical field of spectral analysis and wireless communication, and particularly discloses a biological material spectral feature extraction method for wireless communication coding. The method comprises the following steps: acquiring and preprocessing wide-spectrum original spectral data of a biological material; constructing an initial channel matrix by taking each wavelength dimension as a sub-channel; performing recursive channel transformation on the matrix based on a polarization code theory to generate a polarized channel set; high and low reliability dimensions are divided according to polarizability indexes, high reliability features are reserved, and noise is eliminated; and performing coding mapping on the simplified feature subspace to generate a compact biological feature vector for identification or classification. By introducing a channel polarization mechanism, unsupervised and high-discrimination feature screening is realized, the recognition accuracy and robustness are improved, and the method is suitable for small sample and multi-type biological material analysis.

The invention discloses a shale-oil-rock facies combined seismic facies inversion method based on deep learning, and the method comprises the steps: carrying out the preprocessing of a pre-stack angle gather and logging data, and carrying out the seismic facies division of seismic data through employing a K-Means clustering algorithm; establishing a three-dimensional convolution deep learning model based on a space-time attention mechanism, introducing a position coding theory in natural language processing to convert a seismic facies classification result into a time sequence code, and introducing the time sequence code into the three-dimensional convolution deep learning model to form a seismic facies control deep learning model; and training the seismic phased deep learning model by adopting a semi-supervised learning method to obtain inversion longitudinal and transverse wave velocity and density result transverse resolution. Transverse resolution of longitudinal and transverse wave velocity and density results of phase-controlled deep learning inversion is superior to that of a non-phase-controlled inversion result, and the thickness of an inverted thin layer is far smaller than one fourth of the wavelength of seismic waves.

The invention provides a metasurface and a design method thereof, and the method comprises the steps: determining two specific rotation angle parameters in a monomer structure at each point position in a metasurface matrix through calculating a fractional order code corresponding to a deflection angle in advance based on a fractional order coding theory, carrying out the convolution processing of the two specific rotation angle parameters and a metasurface which reflects a vortex light beam, and obtaining a metasurface model. Beam splitting of incident waves and reflection regulation and control of vortex light beams are achieved, beam splitting regulation and control of the vortex light beams can be achieved while the topological charge number of the vortex light beams is adjusted, and the deflection angle of the split light beams is adjusted to any needed angle.

The application discloses an error capturing circuit and decoding method based on an asymmetric quantum cyclic burst error code. The error capturing circuit can quickly locate error positions by cyclically shifting error accompanying formula, and can correct any burst X error and Z error in the range of decoding length of codeword design. The decoding method based on the asymmetric quantum cyclic burst error code and the error capturing circuit can respectively correct Z error and X error, optimizes decoding performance, fully considers degenerate characteristics in decoding to fully exert the decoding limit of quantum coding theory, and realizes correction of more quantum burst errors under the same code rate.

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 application provides a polypeptide storage method, system and device for super-high radix coded information, and the method comprises the following steps: step 1, determining coding parameters (polypeptide chain length l, probability combination bit number k, and amino acids to be used and the total number n thereof); step 2, obtaining a file to be coded, and converting the file into a binary code stream; step 3, dividing the binary code stream into independent binary source blocks according to the coding parameters, and establishing a probability combination coding mapping relationship according to the coding parameters; step 4, generating an index of the independent binary source blocks based on the coding parameters, and obtaining a complete independent binary sequence; step 5, converting the binary source blocks into polypeptide sequences according to the mapping relationship and storing the polypeptide sequences; and step 6, sequencing the polypeptide sequences and statistically analyzing decoded original data. The application breaks through the limit of traditional biological information coding theory data density log2N bits / particle (N is the number of particles), and realizes polypeptide coding with super-high information density. The application also provides a polypeptide storage system and electronic equipment for super-high radix coded information, and has the above beneficial effects.