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FPGA IMPLEMENTATION

Platform : vlsi

IEEE Projects Years : 2003

This paper appears in: Neural Networks, IEEE Transactions on Issue Date: Sept. 2003 AIM : VHDL IMPLEMENTATION OF ADAPTIVE NOISE CANCELLATION (ANC) FOR FPGA ABSTRACT An field programmable gate array (FPGA) implementation of independent component analysis (ICA) algorithm is reported for blind signal separation (BSS) and adaptive noise canceling (ANC) in real time. In order to provide enormous computing power for ICA-based algorithms with multipath reverberation, a special digital processor is designed and implemented in FPGA. The chip design fully utilizes modular concept and several chips may be put together for complex applications with a large number of noise sources. Experimental results with a fabricated test board are reported for ANC only, BSS only, and simultaneous ANC/BSS, which demonstrates successful speech enhancement in real environments in real time. . LEARNING OBJECTIVE: To understand about systematic design methodology for adaptive noise canceling (ANC) INPUT: Data / information about adaptive noise canceling (ANC) OUTPUT : Simulated output of adaptive noise canceling (ANC) APPLICATIONS: Very high speed integrated circuit hardware description language design, VLSI Design SOSFTWARE TOOL USED: XLINX81I

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