研究了改进的基于特征子空间的平滑算法，加深了零陷深度，提高了系统的信噪比。
The improved smooth algorithm based on the characteristic sub-space used deepen the null to fall the depth, enhanced the system's signal to noise ratio.
在低信噪比情况下，提出了一种基于循环对角码的改进的酉空时码设计。
Based on cyclic diagonal codes, an improved design of unitary space-time codes (USTC) at low SNR is proposed.
用平均分段信噪比和感知语音质量评价(PESQ)测试，改进算法编码质量接近于g。
Testing with the average segment SNR and Perceptual Evaluation of Speech Quality (PESQ), the improved algorithm is close to g.
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