矢量量化模型有着可将大量数据进行压缩的特点，因此，在语者识别领域中有很好的应用前景。
Speaker identification was a biometrics that identify people via their voice, and VQ was the best model in the of speaker recognition because the method has a ability of condensing a lot of data.
本文对目前流行的各种方法进行了归类，主要思想有：边缘保持、矢量量化、小波变换、插值核、分形技术以及边缘模型。
And this paper classifies the popular methods, the main ideas are as follows: edge preserving, vector quantization, wavelet transform, interpolation kernel, Fractal technology and edge model.
该算法在给定信道状态模型和存在信道噪声的情况下，可以有效地提高矢量量化器的性能，实现了信道最优矢量量化器的设计。
The evolutionary algorithm is introduced into the design of COVQ to achieve a significant improvement of VQ performance for a given noisy channel status model.
实验结果表明该模型优于带有死区的塔式格型矢量量化中的比特率失真模型。
Experimental results illustrate this model is superior to the rate-distortion model in pyramidal dead zone lattice vector quantization.
采用该算法，在给定信道状态模型和信道噪声情况下，可有效地提高矢量量化器的性能，仿真实验结果表明该算法可获得比传统算法更优的性能增益。
The algorithm achieves a significant improvement of COVQ performance for a given noisy channel status model over other conventional VQ design methods, as confirmed by experimental results.
采用该算法，在给定信道状态模型和信道噪声情况下，可有效地提高矢量量化器的性能，仿真实验结果表明该算法可获得比传统算法更优的性能增益。
The algorithm achieves a significant improvement of COVQ performance for a given noisy channel status model over other conventional VQ design methods, as confirmed by experimental results.
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