Title :
Research of rate of convergence of minimum discrepancies method in systems of adaptive signal data transmission processing
Abstract :
In the report the results of rate of convergence research to the decision of training algorithm of adaptive nonrecursive filters are submitted on the basis of minimum discrepancies method. The tuning mode of adaptive filter on a periodic sequence of test single signals following through an interval, exceeding duration of the channel response is considered, that allows to receive statistical independence on each iteration of training.
Keywords :
adaptive filters; adaptive signal processing; convergence of numerical methods; convolution; filtering theory; gradient methods; variational techniques; Wiener-Hopf equation; adaptive nonrecursive filter; adaptive signal processing; convolutions; filter regulated weight parameters; input signal correlation matrix; iterative processes; minimum discrepancies method; optimization; periodic sequence; rate of convergence; repetitive processes; steepest descent method; variational methods; Adaptive filters; Adaptive signal processing; Adaptive systems; Convergence; Data communication; Equations; Iterative methods; Signal processing; Signal processing algorithms; Testing;
Conference_Titel :
CAD Systems in Microelectronics, 2003. CADSM 2003. Proceedings of the 7th International Conference. The Experience of Designing and Application of
Print_ISBN :
966-553-278-2
DOI :
10.1109/CADSM.2003.1255022
