Title :
A new fast algorithm for system identification
Author_Institution :
Dept. of Electr. Eng., Villanova Univ., PA, USA
Abstract :
A recursive least mean square technique for system identification is outlined, and applied to a recursive system, to determine an algorithm for updating the coefficients, or weights, of such a system. The effects of the convergence coefficients on stability are detailed, in addition to the all important synthesis in hardware. Of particular interest are the synthesis of this system with a charge-coupled device (CCD), to produce the delayed version of the signals, and the effect of the charge retention in the cells of the CCD on convergence and coefficient or weight changes. The application of this system to a telephone network is discussed with regard to echo cancellation of long distance telephone calls
Keywords :
adaptive filters; convergence of numerical methods; echo suppression; filtering and prediction theory; identification; iterative methods; signal processing; telephone lines; adaptive filters; charge-coupled device; convergence coefficients; echo cancellation; long distance telephone calls; recursive least mean square technique; signal processing; stability; system identification; telephone network; Charge coupled devices; Convergence; Delay effects; Echo cancellers; Hardware; Network synthesis; Signal synthesis; Stability; System identification; Telephony;
Conference_Titel :
Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on
Conference_Location :
Charlottesville, VA
Print_ISBN :
0-7803-0233-8
DOI :
10.1109/ICSMC.1991.169881
