离散子波分解的专用芯片设计及CPLD实现
ASIC design and CPLD implementation for DWT decomposition
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摘要: 子波变换是信号处理和图像压缩等诸多领域中一个非常有效的数学分析工具。日前,其实现方式多为软件编程。本文针对子波变换与滤波器组的关系,在卷积滤波、下二采样过程中,将数据按一定规律重排,用复杂可编程逻辑器件(CPLD)设计了一种专用芯片(ASIC)可完成离散子波分解,具有一定的实用价值。Abstract: The wavelet transform is a very effective mathematical tools for many fields such as signal processing and image coding, which is implemented by program in most cases. This paper presents a novel architecture suitable with CPLD chip for one- dimension DWT decomposition based on the relationship between wavelet transform and filter banks by rearranging the data in the processing of convolution and downsample by two. It possesses some practicable value with certain speed and decreased resources.
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Wu Xiaodong et al., Programmable wavelet packet transform processor, Electron. Lett., 1999,35(6), 449-450.[2]Keshab K. Parhi, Takao Nishitani, VLSI architectures for discrete wavelet transform, IEEE Trans.on VLSI Syst., 1993, 1(2), 191-202.[3]S. G. Mallat, Multifrequency channels decomposition of inages and wavelet models, IEEE Trans.on ASSP, 1989, ASSP-37(12), 2091-2110.[4]Oliver Rioul, Pierre Duhamel, Fast algorithms for discrete and continuous wavelet transforms,IEEE Trans on IT, 1992, IT-38(2), 569-586.[5]宋万杰,罗丰,吴顺君,CPLD技术原理及应用,西安,西安电子科技大学出版社,1999,9 . 期刊类型引用(6)
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