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1动态ECG信号压缩率失真范围的评估理论上,对于一给定信号进行编码所需的最小数据压缩率可成为被压缩信号的失真函数。当信号由更低的每秒传送位数(bps)进行编码时,失真将增加。由信号统计将可决定这个压缩率失真函数的精确特性。对于一个离散时间的静态高斯源,Berger认为:编码所产生的最小均方差失真可作为参数θ的函数Dθ,其关系由下式给出:
THE EVALUATION OF THE DISTORTION RANGE OF DYNAMIC ECG SIGNAL COMPRESSION Rates Theoretically, the minimum data compression required to encode a given signal can be a distortion function of the compressed signal. As the signal is encoded by the lower number of bits per second transmitted (bps), the distortion will increase. The signal statistics will determine the exact nature of this compression rate distortion function. For a stationary Gaussian source of discrete time, Berger concludes that the minimum mean squared error generated by the encoding can be taken as a function of the parameter θ θ, given by: