Title :
Bilinear noise cancellation
Author :
Mio, Karine ; Moisan, Eric
Author_Institution :
CEPHAG ENSIEG, St. Martin d´´Heres, France
Abstract :
We address the problem of noise cancellation with bilinear filters. These filters have infinite memory and degree. It is shown how to modify the equation error bilinear filter to use it in the context of noise cancellation. This truncated filter has good properties of convergence but theoretically yield biased results. These results are compared with that of output error bilinear filters (which are unbiased but may converge to local minima). Both of them prove much better than linear noise cancellation in a sonar real case study
Keywords :
bilinear systems; convergence of numerical methods; filtering theory; noise; sonar signal processing; biased results; bilinear noise cancellation; convergence; equation error bilinear filter; infinite degree; infinite memory; linear noise cancellation; output error bilinear filters; sonar; truncated filter; Decorrelation; Digital integrated circuits; Equations; Integrated circuit noise; Neural networks; Noise cancellation; Noise figure; Noise measurement; Nonlinear filters; Transversal filters;
Conference_Titel :
Digital Signal Processing Workshop Proceedings, 1996., IEEE
Conference_Location :
Loen
Print_ISBN :
0-7803-3629-1
DOI :
10.1109/DSPWS.1996.555537
