Publication Type:

Conference Paper

Source:

2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN), IEEE (2016)

ISBN:

9781467391979

Accession Number:

16304653

URL:

http://ieeexplore.ieee.org/abstract/document/7566660/

Keywords:

1D DWT, adder, Adders, channel bank filters, Clocks, Computer architecture, Convolution, convolution based parallel architecture, convolution based pipelined architecture, Discrete Wavelet Transform, Discrete wavelet transforms, Field programmable gate arrays, filter bank, Filter Bank Approach, Filter banks, Finite impulse response filters, FPGA, frequency 633.43 MHz, MAC loop based filter, MLBF structure, multiplier, Parallel architectures, pipeline processing, pipelined architecture, Ploy-phase Structure, real time signal processing, Virtex 6 xc6vcx240t-2ff784 FPGA board

Abstract:

A Convolution based parallel and pipelined architecture using MAC Loop Based Filter (MLBF) is proposed in this work. The proposed modification to the MLBF structure produces one output sample for every clock cycle as compared to the MLBF structure which produces two outputs for every four clock cycles. This results in a speed up of 2× which is significant for processing real time signals of long length. Compared to the existing MLBF based 1-D DWT architecture, proposed design uses additional 8 multipliers and 8 adders. The proposed structure is independent of the input size and filter length and performs better than other architectures with same or less area utilization. Generality, scalability, high efficiency of hardware utilization are the other merits of the proposed structure. The architecture is synthesized on Virtex 6 xc6vcx240t-2ff784 FPGA board and can operate at a maximum frequency of 633.43 MHz. The frequency of operation is twice as that of the existing approach.

Cite this Research Publication

I. Mamatha, Dr. Shikha Tripathi, and TSB, S., “Pipelined architecture for filter bank based 1-D DWT”, in 2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN), 2016.

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