Title :
Sub-band structures for adaptive line enhancement
Author :
Martins, Carlos R.
Author_Institution :
ENIDH, INESC, Lisbon, Portugal
Abstract :
A new structure for adaptive line enhancement (ALE) is proposed. Separating the input signal in complementary sub-bands gives an increasing of the signal-to-noise ratio within each sub-band. So, short length filters can be used reducing the misadjustment and the eigenvalue spread, which is important when the LMS algorithm is used to adapt the weight vector. The steady-state behavior of the adaptive structure is analyzed for an input signal containing multiple sinusoids in white noise. It is shown that the sub-band processing improves the transient and the steady-state performance of the adaptive system
Keywords :
adaptive filters; adaptive signal processing; eigenvalues and eigenfunctions; filtering theory; least mean squares methods; white noise; LMS algorithm; adaptive line enhancement; eigenvalue spread; multiple sinusoids; signal filtering; signal-to-noise ratio; sub-band structure; weight vector; white noise; Adaptive filters; Adaptive systems; Eigenvalues and eigenfunctions; Least squares approximation; Narrowband; Noise cancellation; Signal analysis; Signal to noise ratio; Steady-state; White noise;
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.2001.986134
