FPGA Implementation of Recursive Least Square Algorithm for 1-D Signal Denoising
نویسندگان
چکیده
The present work describes the implementation of a faster converging adaptive filter through the recursive least square algorithm for one dimensional signals denoising such as sinusoidal and audio signals i.e., to obtain an original sinusoidal signal and the audio signal back from the signal which was corrupted using a random noise .The application had been performed over an FPGA (field-programmable gate arrays) Spartan 3 from Xilinx, using MATLAB and System Generator. Initially the algorithm was tested on MATLAB and a Simulink block for the algorithm is created using the AccelDSP software and the same is implemented on a SPARTAN -3 xc3s500 fg320 -5 for the hardware implementation of the algorithm.
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