An Advanced Low Complexity Adaptive Filter for Echo Cancellation

In Digital Signal Processing Adaptive filtering concept considered as one of the core fundamental concept. The concept of adaptive filtering is used in several DSP applications such as adaptive noise cancellation, including echo cancellation, adaptive equalization, and adaptive beam forming. Today-s telecommunication systems are severely faces -Acoustic echo cancellation- problem i. e. the quality of the communication decays due to the interference caused by acoustic echo. Therefore in this paper we propose an advanced -LMS- adaptive filter to improve the communication quality by providing the channel equalization and reducing the unwanted echo. In this paper we not only restricted our simulated results for LMS but also discusses about NLMS which means that most efficient technique for echo cancellation. In this paper we also provide the simulation results for comparison of different adaptive techniques for Mean Square Error.