A new multi-stage vector quantizer (MSVQ) of line spectral frequency parameters is designed.
设计了一种新的线谱频率参数多级矢量量化编码方案。
Therefore it can make coding more efficient and need only one vector quantizer for all formed source vectors.
因此该方法，使编码更为有效，只需要一个编码器就能对所有形成的信源进行编码。
The design of a vector quantizer for video signals is presented. The performance of the system is simulated on the computer and discussed.
本文介绍了一种图象矢量量化器的设计方法，讨论了它的性能，介绍了硬件结构。
Computer simulations show that the training speed of codebook is quickened by the new design algorithm and the complexity of vector quantizer is reduced.
计算机模拟结果表明，新算法明显缩减了码本训练时间、提高了矢量量化的速度。
Finally, a series of inequalities is derived, which gives a quantitative relation between the performance of a vector quantizer and rate-distortion function.
最后，导出了反映矢量量化器工作特性和率失真函数之间的数量关系的不等式串。
Moreover, a predictive phase vector quantizer is proposed in this thesis based on the above method. The synthesis speech is slightly improved for female speakers.
此外，本文在此基础上提出了一种相位预测式矢量量化方案，使得女声的语音合成质量有所改进。
The Counterpropagation Network (CPN) can be applied to image compression as a vector quantizer. However, the CPN learning algorithm has two obvious disadvantages in codebook designing.
对向传播神经网络(CPN)可以作为矢量量化器用于图像压缩，但CPN学习算法在进行码书设计时存在两个明显的缺陷。
The rate and distortion of distributed source vector quantization are characterized and analyzed through the point density function of a quantizer.
研究分布式信源量化维数与量化性能之间的定量关系。
The rate and distortion of distributed source vector quantization are characterized and analyzed through the point density function of a quantizer.
研究分布式信源量化维数与量化性能之间的定量关系。
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