码书扩大造成每一子集最小失真减小从而提高了量化性能。
The expansion of codebook minishes the minimal distortion in every subset and improves the quantization performance.
这种算法是采用了均值量化的方法，把数字水印嵌入图像的离散小波域，可以检测在空间域和频率域的图像失真。
The watermark was embedded in the wavelet domain using the mean quantization method. This method can be used to detect the distortion both in spatial and frequency domain.
其次讨论了LSF参数量化方法，提出了一种较好的求取谱失真测度的方法。
Then, we discuss the LSF parameter quantization method and propose a better spectral distortion evaluation method.
通常码率控制算法使用一定的率失真模型来决策量化参数从而控制码率。
Generally, the rate distortion model is employed to compute quantization parameter for the controlling bit rate.
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。
Finally, a series of inequalities is derived, which gives a quantitative relation between the performance of a vector quantizer and rate-distortion function.
提出一种构造择优量化表的新方法。在一个固定块尺寸的离散余弦变换（DCT）中，该方法可产生优化的率失真特性。
The present paper presents a new method for constructing optimal quantisation tables. The method produces optimal rate-distortion performance in a fixed block size DCT.
采用量化传输模式对信号进行检测，降低了干扰和失真；
The system adopts quantification transforming model to measure the signals, which can reduce the interference and distortion.
以均匀颜色空间的距离作失真测度，以矢量量化的码书设置颜色寄存的颜色值。实验证明，效果令人满意。
The distance of the uniform color space is used as the distortion measure, and the codebook of vector quantization is used to set the color table register, which shows good results.
在多媒体信号处理中，由于量化误差是输入信号的函数，使得语音信号产生信号失真和噪声调制。
In multimedia signal processing, quantization error is a function of input signal and it results in the audible distortion and noise modulation in the audio signals.
提出一种MPEG2量化器的区域自适应率失真优化算法。
This paper proposes a decision region adaptive MPEG 2 quantization algorithm.
该方法基于率失真曲线的精确理论模型，对小波分解后的不同子带提供最优的动态比特分配从而实现了小波系数的自适应量化编码，最后还实现了码率控制。
It provides optimal dynamic bit allocation for sub-bands of DWT and realizes adaptive quantization for wavelet coefficients. At last, it provides exact rate control for the coder.
这种算法考虑了信源在量化器量化判决区域的分布，通过寻找最小的拉格朗日率失真费用函数，获得量化器的判决电平。
The source distribution in decision region of quantizer is considered in this algorithm, and the decision level of quantizer is derived from the procedure of searching the minimum R D Lagrangian cost.
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.
同时，根据率失真定理，在保证失真最小的情况下，为帧内不同的宏块选用最佳的量化系数。
Using this method, we minimize distortion subject to the target rate constraint, and ohtain formulas that indicate how to choose the quantization parameters.
同时，根据率失真定理，在保证失真最小的情况下，为帧内不同的宏块选用最佳的量化系数。
Using this method, we minimize distortion subject to the target rate constraint, and ohtain formulas that indicate how to choose the quantization parameters.
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