Title :
VLSI array to speed up the computation of TV ghost canceler parameters
Author_Institution :
Dept. of Electr. Eng., King Saud Univ., Riyadh, Saudi Arabia
fDate :
8/1/1996 12:00:00 AM
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 computation of the least square (LS) algorithm is studied. The technique is based on mapping the recursive modified Gram-Schmidt algorithm into two levels of linear systolic arrays. The arrays structure as well as the computation time are described. The performance of the system in terms of computational saving and the array utilization are evaluated. The system is shown to be composed of identical modules which makes it suitable for VLSI technology implementation. The great saving in computation will qualify the system for real-time applications
Keywords :
VLSI; adaptive signal processing; computational complexity; convergence of numerical methods; digital signal processing chips; interference suppression; least mean squares methods; parallel algorithms; systolic arrays; television interference; television receivers; video signal processing; TV ghost canceler parameters; VLSI array; VLSI technology implementation; adaptive algorithms; array utilization; arrays structure; computation time; computational saving; convergence rate; least mean square algorithm; linear systolic arrays; parallel processing technique; real-time applications; recursive modified Gram-Schmidt algorithm; Adaptive algorithm; Concurrent computing; Convergence; Least squares approximation; Least squares methods; Parallel processing; Real time systems; Systolic arrays; TV; Very large scale integration;
Journal_Title :
Consumer Electronics, IEEE Transactions on
