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。

A speech recognition method is described, that is based on a combination of finite-state vector quantization (FSVQ) and dynamic spectral features.

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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。

Combined with FSVQ algorithm, the traditional DCT transform and integer DCT transform are used to improve the performance of image compression.

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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。

Combined with FSVQ algorithm, the traditional DCT transform and integer DCT transform are used to improve the performance of image compression.

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