A comparison between the Wiener and the LMS methods in FIR digital filter synthesis using adaptive modeling

Miramontes, G.; Garcia, Ephrahim; Richardson, A.O.

doi:10.1109/pacrim.1995.519547

Search citation statements

Order By: Relevance

Paper Sections

Select...

Least Mean Square (Lms) Algorithm1

Citation Types

Supporting

Mentioning

Contrasting

Publication Types

Select...

Other1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The FIR digital filter synthesis can be made employing adaptive modeling techniques [6]. This algorithm is a linear adaptive filtering algorithm that consists of the filtering, and adaptive of two basic processes.…”

Section: Least Mean Square (Lms) Algorithmmentioning

confidence: 99%

Multi-channel interference separation for the AWGN channel

Jong

Liao

Jung

et al. 2005

2005 International Symposium on Intelligent Signal Processing and Communication Systems

View full text Add to dashboard Cite

This paper demonstrated that the multi-channel signal in frequency modulation (FM) which are separated by using the phase-locked loop (PLL) and the amplitudelocked loop (ALL) algorithm. The method does not require coding process from modulation, when signals are conveyed by multi-channel transmission. For convenient analysis, we used the discrete model to represent the transmitted signals. The algorithm also can be suppressed the multi-channel interference of the additive white Gaussian noise (AWGN), when receiver signals are demodulated by the least-mean square (LMS) algorithm. From the simulation result, the separation signals of the multi-channel can be obtained the prefect performance for the criteria of the mean square error (MSE).

show abstract

Section: Least Mean Square (Lms) Algorithmmentioning

confidence: 99%