190results about How to "Reduce decoding time" patented technology

A method for the iterative decoding of a block of bits having a number N of bits to be decoded where N is a whole number greater than or equal to two, using an iterative decoding algorithm, comprises the generation of a current block of N intermediate decision bits by executing an iteration of the decoding algorithm, followed by the verification of a stability criterion for the current block by comparison of the current block with a given block of N reference bits. If the stability criterion is satisfied, the iterations of the iterative decoding algorithm are stopped and the current block of intermediate decision bits is delivered as a block of hard decision bits. Otherwise another iteration of the decoding algorithm is executed.

The invention discloses a quantum error correction decoding method and a quantum error correction decoding device based on a neural network, and a chip, which relate to the technical field of artificial intelligence and quanta. The quantum error correction decoding method comprises the following steps of: acquiring error symptom information of a quantum circuit; performing block feature extractionon the error symptom information through using a neural network decoder to obtain feature information; and subjecting the feature information to fusion decoding processing through using the neural network decoder to obtain error result information, wherein the error result information is used for determining error data quantum bits and corresponding error types in the quantum circuit. According to the quantum error correction decoding method and the quantum error correction decoding device, a block feature extraction mode is adopted, the number of channels of the feature information obtainedby each feature extraction is reduced, and the input data of the next feature extraction is reduced, thereby being conductive to reducing the number of feature extraction layers in the neural networkdecoder, further reducing the depth of the neural network decoder, shortening the decoding time of the neural network decoder correspondingly, and satisfying the requirement of real-time error correction.

A method and a device for decoding a syntax element in a context-based adaptive binary arithmetic coding (CABAC) decoder perform a binary arithmetic coding (BAD) process and a binarization matching (BM) process in parallel. The method includes determining an expected bin value to make a bin string including the bin value valid while generating a one-bit bin value by performing a BAD process for a syntax element to be decoded; determining whether the generated bin value is the same as the expected bin value; generating the decoded value of the syntax element by de-binarization of a bin string including the generated bin value if the bin value generated in the BAD process is the same as the expected bin value; and performing the BAD process to generate the next bin value if the bin value generated in the BAD process is different from the expected bin value.

Memory devices and / or error control codes (ECC) decoding methods may be provided. A memory device may include a memory cell array, and a decoder to perform hard decision decoding of first data read from the memory cell array by a first read scheme, and to generate output data and error information of the output data. The memory device may also include and a control unit to determine an error rate of the output data based on the error information, and to determine whether to transmit an additional read command for soft decision decoding to the memory cell array based on the error rate. An ECC decoding time may be reduced through such a memory device.

A method for automatic food recognition by using portable devices equipped with digital cameras. With this system, it is possible to identify a previously established food menu. To this purpose, a semi-automated method of segmentation is applied to delineate the regions in which each type of food in an image of a plate of food, captured by a user. Pattern recognition techniques are used in images, integrated into a system whose goal is to label each type of food contained in the photo of a plate of food. No type of preprocessing is performed to correct deficiencies in capturing the image, just using the auto-focus component present in the portable device to capture a clear image.

A method of allocating a radio resource for a relay station in a wireless communication system is disclosed. The method comprise allocating a relay zone to the relay station in a subframe and transmitting a relay control channel to the relay station by using the relay zone, wherein the subframe comprises a plurality of orthogonal frequency division multiplexing (OFDM) symbols in a time domain and a plurality of subcarriers in a frequency domain, wherein the subframe is divided into a user zone used by a user equipment in a cell and the relay zone used by the relay station, and wherein the relay zone comprises some of the plurality of subcarriers. According to the present invention, a subframe structure provides backward compatibility with a legacy wireless communication system. A relay station can effectively find a radio resource allocated to the relay station, thereby decreasing a decoding time.