CAJ | 학술논문

小波算法具有对信号时间或空间频率的局部化分析能力，能自适应非稳定信号分析的需求，已经逐渐成为DSP的主流。通常小波算法在信号降噪处理中的研究都是在软件上实现的，且处于非实时状态，为了满足信号降噪的实时处理需求，需使用硬件来实现小波算法。分析小波算法在Matlab中提供的具体软件实现流程，根据该流程将小波降噪算法移植到ADI公司SHARC系列产品之一的ADSP 21160芯片上，并以汇编语言的形式实现，以达到快速、实时、高效降低信号噪声的目的，为小波降噪提供实时处理平台。分别在ADSP 21160仿真器与Matlab上实验，比较结果表明，在ADSP 21160芯片上使用小波变换对信号降噪处理可以很好地满足信号降噪实时处理的要求。
소파산법구유대신호시간혹공간빈솔적국부화분석능력，능자괄응비은정신호분석적수구，이경축점성위DSP적주류。통상소파산법재신호강조처리중적연구도시재연건상실현적，차처우비실시상태，위료만족신호강조적실시처리수구，수사용경건래실현소파산법。분석소파산법재Matlab중제공적구체연건실현류정，근거해류정장소파강조산법이식도ADI공사SHARC계렬산품지일적ADSP 21160심편상，병이회편어언적형식실현，이체도쾌속、실시、고효강저신호조성적목적，위소파강조제공실시처리평태。분별재ADSP 21160방진기여Matlab상실험，비교결과표명，재ADSP 21160심편상사용소파변환대신호강조처리가이흔호지만족신호강조실시처리적요구。
Wavelet algorithm has the analysis capability of localization for signals in time or space frequency. It can adaptively analyze non-stable signals, and gradually becomes the mainstream of Digital Signal Processing ( DSP ) . Usually wavelet denoising is implemented in software, and in non-real-time state. In order to satisfy the requirement of real-time operation of wavelet denoising, wavelet algorithm must be implemented in hardware. The realization process of wavelet denoising algorithm was given by specific function of Matlab. According to analysis of this process, wavelet denoising algorithm was successfully realized on ADSP 21160 chip which is a product of SHARC DSP series in assemble language to achive the purpose of implementing quickly, in real-time, and efficiently. The tests were implemented on Matlab and ADSP 21160 simulator, and results show that using the resource of this DSP chip the real-time requirement are reached and the quality of image processing is good.