Design and implementation of adaptive filtering algorithm for Noise Cancellation in speech signal on FPGA

In recent years FPGA systems are replacing dedicated Programmable Digital Signal Processor (PDSP) systems due to their greater flexibility and higher bandwidth, resulting from their parallel architecture. This paper presents the applicability of a FPGA system for speech processing. Here adaptive filtering technique is used for noise cancellation in speech signal. Least Mean Squares (LMS ), one of the widely used algorithm in many signal processing environment, is implemented for adaption of the filter coefficients. The cancellation system is implemented in VHDL and tested for noise cancellation in speech signal. The simulation of VHDL design of adaptive filter is performed and analyzed on the basis of Signal to Noise ratio (SNR) and Mean Square Error (MSE).