Explore MATLAB source code curated for "矢量量化" with clean implementations, documentation, and examples.
MATLAB code implementation of Vector Quantization (VQ) for speech recognition systems, featuring signal vectorization and similarity matching algorithms with practical applications
Implementation of LBG algorithm for speech signal vector quantization. This package contains two main scripts: training.m processes training data to generate four initial codebooks using iterative splitting methodology, while quantizing.m performs vector quantization on target data through nearest-neighbor codevector matching. Additional custom functions support codebook initialization, distortion calculation, and quantization error analysis.
This isolated word speech recognition system leveraging vector quantization demonstrates excellent performance, implemented efficiently in MATLAB with robust code architecture.
Implementation of LBG Algorithm for Vector Quantization Codebook Generation with MATLAB Optimization Techniques
Example Demonstrating the LBG Algorithm with Code-Related Explanations
Implementation and Technical Overview of the Linde-Buzo-Gray Algorithm for Vector Quantization