Review paper on adaptive filters using VLSI

Honade, Shrikant J.; Ingole, Prashant V.

doi:10.1109/wispnet.2016.7566361

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…Various adaptive filters are discussed such as least mean square algorithm (LMS), recursive least square algorithm, and normalized LMS (NLMS) algorithm [3]. Adaptive filter finds its applications in noise cancellation of car environment [4], electrocardiography signal noise cancellation [5], signal processing applications [6], and to suppress intersymbol interference in digital communication system [7].…”

Section: Introductionmentioning

confidence: 99%

Field Programmable Gate Array Implementation of a Variable Leaky Least Mean Square Adaptive Algorithm

Kalkar

Alex

2017

Asian J Pharm Clin Res

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Adaptive noise cancellation is an extensively researched area of signal processing. Many algorithms had been studied such as least mean square algorithm (LMS), recursive least square algorithm, and normalized LMS algorithm. The statistical characteristics of noise are fast in nature and the algorithms for noise cancellation should converge fast. Since LMS algorithm has slow convergence; in this paper, a variable leaky LMS (VLLMS) algorithm is explored. VLLMS is implemented using the concept of hardware-software cosimulation using Xilinx System Generator. The design is implemented on Virtex-6 ML605 field programmable gate array board. The implemented design is tested for sinusoidal signal added with an additive white Gaussian noise. The design summary and the utilization summary are presented.

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