Abstract
One of the most well-known adaptive algorithms that adjust conveniently the parameters of the TV ghost canceler is the least mean square (LMS) algorithm. The convergence rate of this algorithm is slow. In this paper a parallel processing technique to speed up the convergence rate of the (LMS) algorithm will be studied. The technique is based on mapping the FOR Loops of the RMGS algorithm into linear systolic array. The performance of the technique is evaluated. The system can be implemented using the VLSI technology. The system will be suitable for real-time applicatons.
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