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Low Complexity DWT Architecture Implementation for Feature Extraction using Different Multipliers
2015
Indian Journal of Science and Technology
Background/Objectives: Discrete wavelet Transform (DWT) is substantially applied in many Digital Signal Processing (DSP) applications. Multiplication of the coefficient is the key factor for complexity in FIR filters. Methods/Statistical Analysis: This paper presents different multiplication techniques used to reduce the complexity in DWT such as Constant Shift Method (CSM), Vedic multiplication and Binary Signed Sub-coefficient (BSS) method. CSM technique uses Shift and Add unit followed with
doi:10.17485/ijst/2015/v8i21/79151
fatcat:5dk3iqkqgzht5fwk73rx7iihai