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2 results about "Minimum weight" patented technology

In error-correcting coding, the minimum Hamming weight, commonly referred to as the minimum weight wₘᵢₙ of a code is the weight of the lowest-weight non-zero code word. The weight w of a code word is the number of 1s in the word. For example, the word 11001010 has a weight of 4.

A rate-compatible polar code encoder and encoding method based on polarization spectrum

The present invention discloses a code rate compatible polarization code encoder and encoding method based on polarization spectrum. The present invention comprises: a polarization code mother code parameter setting module for determining the code length, code rate and number of punctures of the polarization code mother code; a polarization code mother code construction module for constructing the polarization code mother code using the polarization spectrum, including an initial polarization spectrum module, a polarization spectrum generation module, and a polarization channel reliability estimation module; a generating matrix minimum column weight calculation module for calculating the weight of each column of the generating matrix and determining a partial puncture pattern; a code rate compatible polarization code encoding module for determining the final puncture pattern, including a polarization code final puncture module and an encoding module. The present invention determines the puncture position by using the column weight of the generating matrix, which can reduce the influence of puncture on the performance of the polarization code, estimates the reliability of the polarization sub-channel based on the polarization spectrum, and selects the sub-channel with low reliability for puncturing when the column weight of the generating matrix is ​​the same, thereby effectively reducing the performance loss caused by puncturing.
Owner:HANGZHOU DIANZI UNIV

Speech compression method and system based on feature-weighted residual vector quantization

The application discloses a speech compression method and system based on feature-weighted residual vector quantization, and belongs to the technical field of speech compression. The method comprises the following steps: encoding a speech signal to obtain an encoded feature; calculating a feature weight of the encoded feature; performing multi-stage quantization on the encoded feature, introducing the feature weight of the encoded feature in each quantization process, calculating a weighted Euclidean distance between an input vector of each stage and a candidate code word, selecting the candidate code word with the minimum weighted Euclidean distance as a quantized vector of each stage to obtain a quantized feature; wherein the input vector of the first stage quantization is the encoded feature, and the input vectors of the remaining stage quantizations are all residuals of the encoded feature and all the quantized vectors of the previous stages; and determining a synthesized speech signal according to the quantized feature. The speech synthesis quality is ensured, and the technical problem that the speech synthesis quality is limited by the current method is solved.
Owner:QILU UNIVERSITY OF TECHNOLOGY (SHANDONG ACADEMY OF SCIENCES)