二代小波消噪在数字信号处理器中的实时实现

以数字信号处理器(DSP)为开发平台，提出了基于二代小波的一种新的信号消噪算法．它只需把信号分解一层，然后把分解后的高频系数和低频系数同时进行软阈值量化处理，再进行小波重构，就可以有效地消除信号中的噪声．相对于传统的一代小波，该算法计算简单，可有效节约内存，因此非常适合于DSP的实时实现．同时，为了提高计算效率，对程序的处理流程进行了并行优化，用仿真信号对该算法进行了验证，并应用于对实测信号的消噪中．研究结果表明，该算法可以有效地提高信噪比，降低原始信号中所含有的噪声．

Real-Time Implementation of Signal Denoising Based on Second Generation Wavelet Using Digital Signal Processors Chip

A novel 1D signals denoising method based on the second generation wavelet was presented in digital signal processors(DSP) chip. The signals are only decomposed into one multiresolution level,and then the detail coefficients and the approximation coefficients are modified via soft thresholding and inversely synthesized. The advantages of the method are lower computational complexity and reduced memory requirement,so it is suitable to the real-time implementation using DSP chip. Moreover, in order to reduce the execution time ,the program structure was optimized by parallel operations. The implementation was verified by the simulation signals. Applied to measured signals from laboratory it can reduce the white noise from signals effectively. Results obtained show that this method is a feasible DSP solution.