Low Energy Less Area Less Delay Fixed Point LMS Method for Adaptive Noise Cancellation Filter
T Krishnarjuna Rao1, M. Srinivasan2, D. Lakshmaiah3
1T Krishnarjuna Rao, Research Scholar, Department of ECE, SSSUTMS Sehore, Bhopal (Madhya Pradesh), India.
2Dr. M. Srinivasan, Associate Professor, Department of ECE, SSSUTMS Sehore, Bhopal (Madhya Pradesh), India.
3Dr. D. Lakshmaiah, Associate Professor, Department of ECE, SRI INDU College of Engineering, Hyderabad (Telangana), India.
Manuscript received on 24 February 2020 | Revised Manuscript received on 10 March 2020 | Manuscript Published on 18 March 2020 | PP: 195-203 | Volume-8 Issue-6S March 2020 | Retrieval Number: F10380386S20/2020©BEIESP | DOI: 10.35940/ijrte.F1038.0386S20
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Present paper is about the high speed low complexity implementation derived by its architecture using least mean square (LMS) adaptive filtering. Here straight form LMS adaptive filter has almost the similar critical path as it is a reverse from of the counter path hoiver it has a fast coverage and also a loir register complication. Here critical path evaluation tells that no pipelining is necessary for implementation of straight form LMS adaptive filtering in most of the practical cases requires a realized extremely small adaptive delay and very high sampling rate. Here based on these finding LMS adaptive filtering is divided into 3 structural proposal designs. a) There is no adaption delay b) Only one adaption delay c) Only two adaption delay. Here first one includes least area and least energy per sample (EPS).
Keywords: Least Mean Square (LMS), Extremely.
Scope of the Article: Low-power design