摘要
提出了一种利用CC2530对声音信号进行压缩感知的方法。根据声音信号在频域的稀疏特性,结合压缩感知相关理论,在硬件平台上完成了模拟信号的随机稀疏采样;对采集信号的处理过程做了合理优化,进一步降低了传感器节点的通信及计算需求。利用正交匹配追踪算法对原始信号进行重构,取得了较好的重构效果。实验结果表明,在CC2530的硬件条件下,用这种压缩感知的方法能够将传统的采样频率降低至1/5。
A method for acoustic signal compressed sensing based on CC2530 was introduced.On the basis of the sparse charac-ter,combining the compressed sensing theory,the stochastic sparse sampling was accomplished on hardware platform.Besides, a proper optimization for signal processing was made.Accordingly,this method lessened sensor node’s communication and calcu-lation requirements.Using orthogonal matching pursuit （OMP）algorithm to reconstruct original signal,a good reconstruction result was acquired.Experimental results showed that,under the hardware condition of CC2530,the method according to CS could reduce the conventional sampling frequency by 80%.
出处
《计算机工程与设计》
CSCD
北大核心
2014年第7期2356-2359,2446,共5页
Computer Engineering and Design
关键词
压缩感知
声音信号
无线传感器网络
稀疏采样
正交匹配追踪
compressed sensing
acoustical signal
wireless sensor network
sparse sampling
orthogonal matching pursuit
