A novel electrocardiogram compression algorithm based on minimum root-mean-square error prediction utilizing the correlation of adjacent QRS wave is proposed.
本文提出了一种利用相邻QRS波的相关性进行最小均方差预测的心电图压缩算法。
The correlation of adjacent slices bitrates in frequency domain can effectively reflect the activity of the motion pictures.
此判别法表明，相邻编码帧宏块条码率的频域互相关能够有效反映图像活动性变化的特点。
Compared with traditional symmetric 3d wavelet transform, asymmetric 3d wavelet transform can more efficiently remove the correlation between the adjacent bands.
与传统的对称三维小波变换相比，非对称的三维小波变换能够更有效地去除相邻谱段间的冗余。
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