Finite Word Length Effects on Two Integer Discrete Wavelet Transform Algorithms
Institut Teknologi Bandung, Jalan Ganeca 10 Bandung, Indonesia 40132, Armein Z. R. Langi · International Journal on Electrical Engineering and Informatics · 2011
This paper studies finite word-length effects on two different VLSI architectures of integer discrete wavelet transforms (DWT).The two DWT architectures representing two extreme cases are Scheme 1: basis correlation, and Scheme 2: pyramidal algorithm.For signal-to-noise ratio (SNR) evaluations, we consider various values of the length of integer word (W).Our experiments show that W is critical for both schemes, although both schemes perform almost equivalently.We also show that Scheme 1 and Scheme 2 have computational complexities and O(N), respectively.The paper concludes that the word length W has similar critical impacts on the quality of integer DWT of both Schemes, hence Scheme 2 should be used based on lower computational complexity reason.