38 results about "Distributed source coding" patented technology

The present invention is a method and apparatus for protection of various items against counterfeiting using physical unclonable features of item microstructure images. The protection is based on the proposed identification and authentication protocols coupled with portable devices. In both cases a special transform is applied to data that provides a unique representation in the secure key-dependent domain of reduced dimensionality that also simultaneously resolves performance-security-complexity and memory storage requirement trade-offs. The enrolled database needed for the identification can be stored in the public domain without any risk to be used by the counterfeiters. Additionally, it can be easily transportable to various portable devices due to its small size. Notably, the proposed transformations are chosen in such a way to guarantee the best possible performance in terms of identification accuracy with respect to the identification in the raw data domain. The authentication protocol is based on the proposed transform jointly with the distributed source coding. Finally, the extensions of the described techniques to the protection of artworks and secure key exchange and extraction are disclosed in the invention.

A method for encoding a source image, wherein the source image includes a set of bitplanes of pixels, is disclosed. For each bitplane in a most to least significant order, the method include obtaining a list of significant pixels (LSP), a list of insignificant pixels (LIP), and a list of insignificant sets (LIS) according to a hierarchical ordering of the source image pixels; synchronizing the LSP, LIP and LIS of the source image with the LSP, LIP and LIS of a key image; constructing a temporary list of insignificant sets (TLIS) for the source image; and applying syndrome encoding to the LSP, LIP, and TLIS of the source image to obtain syndromes corresponding to magnitudes and signs of pixels in the source image, wherein the steps are performed in a processor.

The invention discloses a distributed source code detection system and the method based on the serialized intermediate representation, the system functions in the the following steps: coordinating the nodes, determining the programming language and the edition of compiler used for the source code to be detected, using the integrated compiler to compile the source code to be detected and generating the intermediate representation, serializing the intermediate representation on the basis of code translation unit to create the relevant intermediate representation files and independent intermediate representation files; representing the detection node, selecting at least one rule bank from multiple rule banks based on the detection type, and using at least one rule bank to detect at least one independent intermediate representation file to confirm the detection result of at least one independent code; using the relevant detection nodes based on the relationships of detection relevance and the detection results of at least one independent code to detect the relevant intermediate representation file in order to determine the detection results of the relevant code.

In a decoder, a desired image is estimated by first retrieving coding modes from an encoded side information image. For each bitplane in the encoded side information image, syndrome bits or parity bits are decoded to obtain an estimated bitplane of quantized transform coefficients of the desired image. A quantization and a transform are applied to a prediction residual obtained using the coding modes, wherein the decoding uses the quantized transform coefficients of the encoded side information image, and is based on previously decoded bitplanes in a causal neighborhood. The estimated bitplanes of quantized transform coefficients of the desired image are combined to produce combined bitplanes. Then, an inverse quantization, an inverse transform and a prediction based on the coding modes are applied to the combined bitplanes to recover the estimate of the desired image.

The invention relates to a method for anti-error encoding and decoding image based on the distributed source encodings, which includes: it decomposes the encoding image X by using Laplace pyramid to achieve a image with a low resolution and a residual image. Then, it encodes the image with a low resolution to achieve code stream B1 and directly discards the residual image. Then, it transforms X and divides the quantified value into sliced planes. Then, it carries out channel coding about each plane to achieve checking bit and multiplex them into checking bit flow B2. The decoding method is a reverse process of the encoding.

The embodiment of the invention discloses a signal decoding and coding method and a device; the signal coding method comprises a Wyner-Ziv frame and a key frame K for obtaining the original signal flow, wherein the frame K is transmitted to a signal receiving terminal and is decoded and reconstructed into a frame Y at the receiving terminal, and the frame Y is used as side information for decoding process of signals; a signal Xc is obtained according to the Wyner-Ziv frame, the correlation modeling between Xc and the frame Y is a virtual related channel, falling in with the formula Xc=Y+E, E is generated by a hidden Markov model (HMM) and is independent of Y; obtaining X through the quantization of a signal Xc; carrying out Raptor coding to X to obtain the coded signal Zm, so as to transmit to the signal receiving terminal. In the invention, the distribution type information source coding technology is adopted to transfer the coding complexity of a WSNs (wireless sensor networks) nodeto a decoding end, so as to reduce the compression computing energy consumption of the WSNs node.

The invention provides a method for designing LDPCA codes in an asymmetric structure distributed source coding system and relates to the technical field of source coding. Traditional LDPCA codes are still adopted for the compression rate ranging from 1 / L to k / L, and the provided method is adopted for the compression rate ranging from (K+1) / L to 1. After the maximum degree of variable nodes is removed, a distribution character of redesigned optimum degree is as follows: lambda(x) = 0.3264x + 0.4254x2 + 0.1384x6 + 0.0794x7 + 0.0304x18. A belief propagation decoding method is adopted at the decoding end, and the maximum iteration number s 100. The difference of the method and a claude elwood Shannon can be still kept small in a high-speed region, and the LDPCA codes are greatly better than the traditional LDPCA codes. Good effect is obtained in a speed region Rx<[47 / 66,1] by adopting the method and approaches a Selpian-Wolf boundary, and the defect that the traditional LDPCA codes are only designed for the fixed speed is overcome. The method is characterized by selecting a maximum number of variable nodes and adopting high-compression-ratio optimum degree distribution design.

Multi-source multi-relay distributed agent forwarding system and optimization method under power constraints. In this system, multiple source nodes transmit analog signals with multi-dimensional Gaussian distribution, and destination nodes receive digital signals. Multiple relay Nodes are responsible for performing distributed source coding on received analog signals, converting them into digital signals and forwarding them. Using the CEO theory of distributed source coding, the information transmission rate after the source signal reaches each relay node through the noise channel is deduced. Combining the information rate with the channel capacity of the relay to the destination node, the wireless analog sensor network is connected with the wireless digital communication network. Under the condition that the total power is limited, the corresponding algorithm is optimized to make the system SNR performance optimal. Both theoretical analysis and simulation results show that the optimization method proposed in the present invention can make the multi-source multi-relay distributed proxy forwarding system provide better signal-to-noise ratio performance than the amplification and forwarding system.

The invention relates to a Springboot-based online interface code generation method. Provides a distributed microservice system based on SpringBoot, including a master control terminal and multiple microservice clients; among them, the master control terminal is used for source code generation, distributes source code to multiple microservice clients and initiates operations including hot updates, Receive the processing results of each microservice client at the same time; the microservice client is used to receive source code, precompile and check whether the code is successfully compiled, and finally perform hot update to reload the SpringBoot context, and load the Class compiled from the source code into Spring's IoC , registered as a Spring service for invocation. In the environment of the micro-service distributed system, the present invention can quickly generate the source code according to the pre-fabricated code module, and do not need to re-develop, test and deploy the process; and the hot update supports the distributed micro-service system, and the program only needs to be re-SpringBoot In the application context, the process is not restarted, which speeds up the deployment.