该方法首先利用由人类视觉空间响应特性确定的卷积核进行空间滤波，然后进行CIELAB处理。
Convolution kernel determined by the characteristic of space response for human vision was used to do space filtering and CIELAB processing.
根据所得到的鉴频特性分析和讨论了信号诸参数对鉴频特性的影响，并且给出了这种数字卷积测频算法的测频精度。
The influence of signal's parameters on frequency-discrimination characteristics is analyzed and discussed, and the precision of the convolution frequency discrimination algorithm is given.
TCQ算法充分利用了卷积码的特性，采用信号空间扩展的方法来增大量化信号的欧式距离，从而达到提高量化性能的目的。
The TCQ algorithm takes advantage of convolution code, and enlarges the Euclidean distances among quantized data by expanding data dimensions.
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