文章基本信息

标题：High Speed 2-D DWT using Modified Distributed Arithmetic and Brent Kung Adder Technique
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作者：Asmita Gupta ; Prof. Rahul Shrivastava ; Dr. Paresh Rawat 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2018
卷号：6
期号：10
页码：8125-8134
DOI：10.15680/IJIRCCE.2018. 0610028
出版社：S&S Publications
摘要：The DWT is expressed in a generalized form know as discrete wavelet transform which analyzes both the low and high sub bands with equal priority at every decomposition level. The DWT is a mathematical technique that provides a new method for signal processing. Due to various useful features like adaptive time-frequency window, lower aliasing distortion and efficient computational complexity, it is widely used in many signal and image processing applications. 2-D DWT is widely used in image and video compression. But flipping scheme introduces some design complexities in selected DWT structures. So in our proposed work, we have implemented BK adder and MDA technique that provides multiplier-less implementation and also will work for every bit. The proposed MDA and BK adder based 1-D and 2-D DWT algorithm shows good performance as compared to previous algorithm. The proposed architecture for DWT implementation reduces the chip area, less computation time and also minimizes the maximum combinational path delay..