DocumentCode :
3588016
Title :
Optimized FPGA based implementation of discrete wavelet transform
Author :
Jarrah, Amin ; Jamali, Mohsin M.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Toledo, Toledo, OH, USA
fYear :
2014
Firstpage :
1839
Lastpage :
1842
Abstract :
Development of fast Discrete Wavelet Transformation (DWT) is desired in many real life applications. It provides time-frequency representation which gives a multi-resolution outlook of the signal. It is also used for de-noising the signal. However, the DWT is computationally intensive and requires high speed computing platform. So, it is desirable to implement DWT on FPGAs as they have a capability of offering pipelined and parallel processing architecture to achieve real time performance. In this work, an efficient implementation of the DWT method on FPGA platform is proposed for all its dimensions (1-D, 2-D and 3-D). Experimental results demonstrate that our optimized implementation can significantly outperform an equivalent implementation. Also, it shows superior performance when compared with other implementations on different platforms.
Keywords :
discrete wavelet transforms; field programmable gate arrays; parallel architectures; pipeline processing; signal resolution; 1D system; 2D system; 3D system; DWT; discrete wavelet transform; multiresolution signal; optimized FPGA based implementation; parallel processing architecture; pipelined architecture; signal denoising; time-frequency representation; Computer architecture; Decision support systems; Discrete wavelet transforms; Field programmable gate arrays; Parallel processing; Real-time systems; Three-dimensional displays; Discrete Wavelet Transformation (DWT); Field Programmable Gate Array (FPGA); High Level Synthesis Tools (HLS Tools); Parallel Architecture; VHDL;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2014 48th Asilomar Conference on
Print_ISBN :
978-1-4799-8295-0
Type :
conf
DOI :
10.1109/ACSSC.2014.7094786
Filename :
7094786
Link To Document :
بازگشت