基于FPGA的实时小波消噪技术在多余物自动检测系统中的应用

针对微粒碰撞噪声多余物自动检测系统采用软件实现小波消噪过程,存在数据量大、运算时间长、检测效率低下等问题,本文提出采用FPGA实现小波消噪算法,在数据采集的过程中完成小波消噪,以提高数据处理的实时性。在深入理解小波变换理论及Mallat快速算法的基础上,通过改进研制PCI总线数据采集卡,利用Matlab和Quartus II软件平台,设计实现了基于FPGA的小波消噪算法。实验测试表明,该算法得到的消噪效果较为理性,达到了实时小波消噪的目的。

The Application of Real Time Wavelet De-noising Technique Based on FPGA in Remainder Auto-detection System

The wavelet de-noising process is implemented in software in remainder auto-detection system.When the data size is big,the compute time is long and the detection efficiency is low.According to these problems,the wavelet de-noising algorithm implemented in FPGA is proposed in this paper.The signal is de-noised when it is sampled,so the data would be dealt with real time.On the basis of deeply understanding wavelet transform theory and Mallat algorithm,the wavelet de-noising algorithm is designed and implemented in FPGA based on improved development of PCI data acquisition card,using Matlab and Quartus II software platform.The experiment results indicate that the de-noising effect of algorithm is perfect,and the goal of signal de-noised in real time is achieved.