Adaptive filtering implemented over TMS320c6713 DSP platform for system identification

An optimum algorithm for adaptive filtering on acoustic echo cancellation using TMS320C6713 DSP

Article history: Available online 7 May 2009

Application of Image Processing on DSP TMS320C6713

Face detection is a very challenging and interesting problem. In this paper, we discussed an application for automatic face detection and tracking on video streams from surveillance cameras in public or commercial places. In many situations it is useful to detect where the people are looking for, e.g. in exhibits, commercial malls, and public places in buildings. So prototype is designed to wor...

Additional Experiments for Communication System Design Using DSP Algorithms with Laboratory Experiments for the TMS320C6713 DSK

Performance Analysis of Adaptive Filtering Algorithms for System Identification

The paper presents a comparative study of NLMS (Normalized Least Mean Square), NVSS (New Variable Step Size) LMS (Least Mean Square), RVSS (Robust Variable Step Size) LMS, TVLMS (Time Varying Least Mean Square) and IVSS (Improved Variable Step Size) LMS adaptive filter algorithms. Four performances criterion are utilized in this study: Minimum Mean Square Error (MSE), Convergence Speed, Algorit...

Adaptive IIR Filtering Algorithms for System Identification: A General Framework

A6strmtAdaptive IIR (infinite impulse response) filters are particularly beneficial in modeling real systems because they require lower computational complexity and can model sharp resonances more efficiently as compared to the FIR (finite impulse response) counterparts. Unfortunately, a number of drawbacks are associated with adaptive IIR filtering algorithms that have prevented their widespre...