Title :
Blind source recovery: some implementation and performance issues
Author :
Waheed, Khurram ; Salam, F.M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
This paper discusses the implementation of our proposed algorithms for blind source recovery based on constrained optimization using the state-space framework. Two simulation examples are presented where the mixing environment is modeled as FIR and IIR, respectively. The rate of convergence using the proposed implementation for these particular environment models is compared for various classes of data. Conclusions are derived for effectiveness of these techniques in various practical problems
Keywords :
FIR filters; IIR filters; convergence; filtering theory; optimisation; signal processing; state-space methods; FIR environment model; IIR environment model; blind source recovery; constrained optimization; convergence rate; linear state-space framework; Adaptive systems; Circuits; Constraint optimization; Deconvolution; Filtering; Finite impulse response filter; Laboratories; Neural networks; Signal processing algorithms; State-space methods;
Conference_Titel :
Circuits and Systems, 2001. MWSCAS 2001. Proceedings of the 44th IEEE 2001 Midwest Symposium on
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-7150-X
DOI :
10.1109/MWSCAS.2001.986283
