離散子波分解的專用芯片設(shè)計及CPLD實現(xiàn)
ASIC design and CPLD implementation for DWT decomposition
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摘要: 子波變換是信號處理和圖像壓縮等諸多領(lǐng)域中一個非常有效的數(shù)學(xué)分析工具。日前,其實現(xiàn)方式多為軟件編程。本文針對子波變換與濾波器組的關(guān)系,在卷積濾波、下二采樣過程中,將數(shù)據(jù)按一定規(guī)律重排,用復(fù)雜可編程邏輯器件(CPLD)設(shè)計了一種專用芯片(ASIC)可完成離散子波分解,具有一定的實用價值。
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關(guān)鍵詞:
- 離散子波變換; 濾波器組; 下二采樣; 復(fù)雜可編程邏輯器件; 專用芯片
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. -
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]宋萬杰,羅豐,吳順君,CPLD技術(shù)原理及應(yīng)用,西安,西安電子科技大學(xué)出版社,1999,9 . -
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