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Journal of Artificial Intelligence
  Year: 2012 | Volume: 5 | Issue: 4 | Page No.: 221-226
DOI: 10.3923/jai.2012.221.226
 
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FPGA Implementation of Audio Enhancement Using Adaptive LMS Filters

V. Elamaran, A. Aswini, V. Niraimathi and D. Kokilavani

Abstract:
Digital audio has become very popular in the last two decades with the growth of multimedia systems and the World Wide Web. So, audio processing techniques such as filtering, equalization, noise suppression, compression, addition of sound effects and synthesis become necessary in the field of sound engineering. This study has presented some of the audio enhancement techniques using adaptive Least Mean Square (LMS) filters with the Field Programmable Gate Array (FPGA) Architectures which are developed using Xilinx System Generator (XSG). Verilog descriptions from XSG are synthesized to the target FPGA device-a Virtex4 xc4vsx55-12ff1148 and the resource utilization summary for the various alternate LMS architectures is obtained along with the Signal-to-Noise Ratio (SNR) calculations. Results show that Delayed LMS architectures provide a better SNR improvement at the cost of more resource utilizations.
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How to cite this article:

V. Elamaran, A. Aswini, V. Niraimathi and D. Kokilavani, 2012. FPGA Implementation of Audio Enhancement Using Adaptive LMS Filters. Journal of Artificial Intelligence, 5: 221-226.

DOI: 10.3923/jai.2012.221.226

URL: https://scialert.net/abstract/?doi=jai.2012.221.226

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