Simulation Design of DWT Architecture for Rea...

Simulation Design of DWT Architecture for Real Time Application

Author Name : Lovekesh Singh Parmar, Mrs. Sumiran Daiya, Mr. Sumit Dalal

ABSTRACT:   Discrete wavelet transforms (DWT) is a compute-intensive task that is usually implemented on specific architectures in many real-time medical imaging systems. In this work, novel area-efficient high-throughput dwt architecture is proposed based on distributed arithmetic. a tap-merging technique is used to reduce the size of DA lookup tables. The proposed architectures were designed in VHDL and mapped to a Xilinx vertex-e FPGA. The synthesis results show the proposed architecture has a low area cost. Wavelet analysis is an exciting new method for solving difficult problems in mathematics, physics, and engineering, with modern applications as diverse as wave Propagation, data compression, signal processing, image processing, pattern recognition, computer graphics, the detection of aircraft and submarines and other medical image technology. Signal transmission is based on transmission of a series of numbers. The series representation of a function is important in all types of signal transmission. The wavelet representation of a function is a new technique. Wavelet transform of a function is the improved version of Fourier transform. Fourier transform is a powerful tool for analyzing the components of a stationary signal. But it is failed for analyzing the non-stationary signal whereas wavelet transform allows the components of a non-stationary signal to be analyzed. In this paper, our main goal is to find out the advantages of wavelet transform compared to Fourier transform.