Combined with FSVQ algorithm, the traditional DCT transform and integer DCT transform are used to improve the performance of image compression.
对经典DCT变换和整数DCT变换进行研究，并把它们和有限状态矢量量化编码算法相结合，提高了对图像的压缩性能。
A speech recognition method is described, that is based on a combination of finite-state vector quantization (FSVQ) and dynamic spectral features.
结合动态谱特性的语音识别研究，阐述了一种有限状态矢量量化(FSVQ)方法。
The FSVQ-CEC scheme is applied to an analysis-synthesis adaptive predictive speech encoding system so as to exploit the redundancy between vocal tract codevectors and excitational codevectors.
将该方案实际应用于分析合成自适应预测语音编码系统，它有效地利用了声道参数码矢和激励参数码矢之间的冗余信息。
The FSVQ-CEC scheme is applied to an analysis-synthesis adaptive predictive speech encoding system so as to exploit the redundancy between vocal tract codevectors and excitational codevectors.
将该方案实际应用于分析合成自适应预测语音编码系统，它有效地利用了声道参数码矢和激励参数码矢之间的冗余信息。
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