An Optimized VLSI Implementation of the Least Mean Square (LMS) Adaptive Filter Architecture on the Basis of Distributed Arithmetic Approach

Adaptive filters find applications in many areas such as echo cancellation in long-distance telephone networks, linear prediction of the signal in speech and image coding, channel equalization, beam forming and many more. In adaptive filters, the time-varying coefficients can be determined based on...

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Vydané v:	Journal of the Institution of Engineers (India). Series B, Electrical Engineering, Electronics and telecommunication engineering, Computer engineering Ročník 106; číslo 3; s. 861 - 870
Hlavní autori:	Nagabushanam, M., Chakrasali, Sadashiva, Gangadharaiah, S. L., Patel, Sampath H., Ramaiah, Gurumurthy, Basak, Raju
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New Delhi Springer India 01.06.2025 Springer Nature B.V
Predmet:	Adaptive filters Algorithms Arithmetic Beamforming Binary codes Communications Engineering Complexity Computer architecture Criteria Design Engineering Field programmable gate arrays FIR filters Image coding Large scale integration Linear prediction Mathematical analysis Mean square values Memory Multiplication & division Networks Original Contribution Performance enhancement Power consumption Very large scale integration Adaptive FIR Filters Distributed Arithmetic Pipeline Architecture Least Mean Square
ISSN:	2250-2106, 2250-2114
On-line prístup:	Získať plný text
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