压缩感知是近几年信号处理理论的重大突破,它打破了传统的奈奎斯特采样定理的限制,采用一种数学投影的方法对信号进行整体的测量,从而能够以较少的采样值来进行原始信号的恢复.将压缩感知应用于视频编解码中,并结合均匀量化和编码将出来的码流在无线信道中传输,进而得到了比现有编码方法好的特性,即收到的视频质量随着无线信道误码率增大的而呈均匀的下降.%Compressed sensing is becoming a major breakthrough in signal processing theory in recent years. It broke the traditional Nyquist sampling theory constraints, instead, it used a mathematical projection method for measuring signal in a overall way. As a result, it reduced the sample value amounts for the recovery of the original signal. This paper deals with video compression case by taking care of compressed sensing, transmit the video streaming formed in the preceding way in the wireless channel combined with uniform quantization and coding, in this way it gets better properties than the existing coding,that is to say, the received video quality decreased smoothly as the radio channel bit error rate increased.
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