Implementation and comparison of echo cancellation algorithms using adaptive filtering techniques in TMS320C6748 DSK

Acoustic echo is an unwanted signal where, delayed and distorted speech signal is reflected back to a source. Echo generation is a common occurrence in mobile communication system. Signal interference is caused by an echo which disturbs the users. Due to this signal quality in mobile communication is reduced. So, adaptive filtering techniques are used to suppress the echo. This intern results in enhancing the signal quality in mobile communication system. In this paper various types of adaptive filtering techniques namely, Least Mean Square, Normalized Least Mean Square, Recursive Least Square algorithm in Matlab® / TMS320C6748 DSK are implemented. Performance parameter like Minimum Square Estimation, Echo Return Loss Enhancement, Signal to Noise Ratio and computational time are measured and compared for the above adaptive filtered algorithms.