Title :
On hetero-associative neural networks and adaptive interference cancellation
Author :
Chatterjee, Chanchal ; Roychowdhury, Vwani P.
Author_Institution :
GDE Syst. Inc., San Diego, CA, USA
fDate :
6/1/1998 12:00:00 AM
Abstract :
We discuss two novel adaptive algorithms for generalized eigendecomposition that are derived from a two-layer linear feedforward hetero-associative neural network. In addition, we provide a rigorous convergence analysis of the adaptive algorithms by using stochastic approximation theory. Finally, we use these algorithms for on-line multiuser access interference cancellation in code-division-multiple-access-based cellular communications. Numerical simulations are reported to demonstrate their rapid convergence
Keywords :
adaptive signal processing; approximation theory; associative processing; cellular radio; code division multiple access; convergence of numerical methods; eigenvalues and eigenfunctions; feedforward neural nets; interference suppression; multilayer perceptrons; radiofrequency interference; telecommunication computing; adaptive algorithms; adaptive interference cancellation; code-division-multiple-access-based cellular communications; convergence analysis; generalized eigendecomposition; on-line multiuser access interference cancellation; stochastic approximation theory; two-layer linear feedforward hetero-associative neural network; Adaptive algorithm; Adaptive systems; Algorithm design and analysis; Approximation methods; Convergence; Feedforward neural networks; Interference cancellation; Neural networks; Numerical simulation; Stochastic processes;
Journal_Title :
Signal Processing, IEEE Transactions on
