基于DSP Builder的脑电信号小波处理

针对脑电信号非平稳性特点，利用小波变换对采集到的脑电信号进行滤波处理。然而小波变换巨大的计算量限制其在高速实时信号处理领域的应用，FPGA器件兼具并／串行工作方式，具有较高的并行计算能力，在现场数字信号处理领域具有较强的实时性。提出基于FPGA的小波变换系统设计方法，首先利用DB2小波对脑电信号按Mallat算法进行分解，然后采用小波重构算法去噪。试验结果表明，运用小波分解重构算法，可以对脑电信号进行实时滤波。

Wavelet processing on EEG signal based on DSP Builder

Aiming at the non-stationary feature of EEG signal,this paper uses the wavelet transform to denoise the EEG signal.However,since the complex computation of wavelet transform,it is hardly used in high real-time fields.While the FPGA devices can work in parallel model and serial model,and they have the high-speed computation,so it is more efficient in real-time fields.So a method of design wavelet transform system based on FPGA is presented,firstly,based on the Mallat algorithm,the EEG signal is decomposed by...