R
R. Mahesh
Researcher at Nanyang Technological University
Publications - 27
Citations - 811
R. Mahesh is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Finite impulse response & Filter bank. The author has an hindex of 14, co-authored 27 publications receiving 768 citations.
Papers
More filters
Journal ArticleDOI
New Reconfigurable Architectures for Implementing FIR Filters With Low Complexity
R. Mahesh,A. P. Vinod +1 more
TL;DR: Two new reconfigurable architectures of low complexity FIR filters are proposed, namely constant shifts method and programmable shifts method, which are capable of operating for different wordlength filter coefficients without any overhead in the hardware circuitry.
Journal ArticleDOI
A New Common Subexpression Elimination Algorithm for Realizing Low-Complexity Higher Order Digital Filters
R. Mahesh,A. P. Vinod +1 more
TL;DR: A new CSE algorithm using binary representation of coefficients for the implementation of higher order FIR filters with a fewer number of adders than CSD-based CSE methods is presented, showing that the CSE method is more efficient in reducing the number ofAdders needed to realize the multipliers when the filter coefficients are represented in the binary form.
Proceedings ArticleDOI
Coefficient decimation approach for realizing reconfigurable finite impulse response filters
R. Mahesh,A. P. Vinod +1 more
TL;DR: A new approach to implement computationally efficient reconfigurable finite impulse response (FIR) filter is presented in this paper and the design of a reconfigured filter bank using the above approach is shown.
Journal ArticleDOI
Reconfigurable Frequency Response Masking Filters for Software Radio Channelization
R. Mahesh,A. P. Vinod +1 more
TL;DR: A new reconfigurable architecture based on frequency response masking (FRM) technique for the implementation of channel filters is proposed in this paper and offers reconfigurability at filter and architecture levels, in addition to the inherent low complexity offered by the FRM technique.
Journal ArticleDOI
Filter Bank Channelizers for Multi-Standard Software Defined Radio Receivers
TL;DR: Two low complexity, reconfigurable filter bank architectures for SDR channelizers based respectively on the frequency response masking technique and a novel coefficient decimation technique are reviewed and outperform existing ones in terms of both dynamic reconfigurability and complexity.