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为了使CCD(Charge coupled Device,CCD)数据采集系统兼有去除噪声的能力,以增大采集系统的使用范围,设计了以ARM为核心的数据采集与处理系统。以电荷耦合器件TCD132D传感器为例,设计了稳定的驱动电路。在分析CCD噪声的来源和特性后,采用多尺度分析的方法对随机噪声加以滤除。并依照小波分解与重构的原理,以ARM为平台编写了Mallat算法有关代码。实验结果表明,原始信号经处理后不仅抑制了相关噪声,而且保留了信号中的有用信息。
In order to make the CCD (Charge Coupled Device) data acquisition system have the ability of removing noise and the use scope of the acquisition system is increased, a data acquisition and processing system with ARM as the core is designed. Taking the charge-coupled device TCD132D sensor as an example, a stable driving circuit is designed. After analyzing the origin and characteristics of CCD noise, we use the method of multi-scale analysis to filter out the random noise. According to the principle of wavelet decomposition and reconstruction, the code of Mallat algorithm is written on ARM platform. The experimental results show that the original signal not only suppresses the correlation noise but also retains the useful information in the signal.