A High-Performance Energy-Efficient Architecture for FIR Adaptive Filter Based on New Distributed Arithmetic Formulation of Block LMS Algorithm

Mohanty, Basant Kumar; Meher, Pramod Kumar

doi:10.1109/tsp.2012.2226453

Cited by 93 publications

(70 citation statements)

References 21 publications

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“…Contrary to the conventional filter design techniques, adaptive filters do not have constant filter coefficients and no priori information is known, such a filters with adjustable parameters are called an adaptive filter. Adaptive filter adjust their coefficients to minimize an error signal and may be termed as finite impulse response (FIR) [40], infinite impulse response (IIR) [41], lattice and transform domain filter. Generally adaptive digital filters consist of two separate units: the digital filter, with a structure determined to achieve desired processing (which is known with an accuracy to the unknown parameter vector) and the adaptive algorithm for the update of filter parameters, with an aim to guarantee fastest possible convergence to the optimum parameters from the point of view of the adopted criterion.…”

Section: Adaptive Filtersmentioning

confidence: 99%

LMS Adaptive Filters for Noise Cancellation: A Review

Dixit¹,

Nagaria²

2017

IJECE

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This paper reviews the past and the recent research on Adaptive Filter algorithms based on adaptive noise cancellation systems. In many applications of noise cancellation, the change in signal characteristics could be quite fast which requires the utilization of adaptive algorithms that converge rapidly. Algorithms such as LMS and RLS proves to be vital in the noise cancellation are reviewed including principle and recent modifications to increase the convergence rate and reduce the computational complexity for future implementation. The purpose of this paper is not only to discuss various noise cancellation LMS algorithms but also to provide the reader with an overview of the research conducted.

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Section: Adaptive Filtersmentioning

confidence: 99%

LMS Adaptive Filters for Noise Cancellation: A Review

Dixit¹,

Nagaria²

2017

IJECE

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“…For the implementation of proposed FIR filter, the input block size is assumed as L=4 for every cycle. It process the input samples and produce L number of outputs [8].…”

Section: Mathematical Formulation Of Proposed Structurementioning

confidence: 99%

“…For example, a FIR filter implemented by Mahesh et al [2] using programmable shift method (PSM) and Constant shift method (CSM) [8] [11]. Park [3] also implemented a FIR filter based on distributed arithmetic structure in direct form and transpose form structures.…”

Section: Introductionmentioning

confidence: 99%

“…But there is no any block based concept in transpose form structure. Mohanty et al [4] proposed block based structures and filter banks, which are not suitable for higher order filter lengths and applicable for 2-Dimensional (2D) filters. Mohanty also proposed [5], the reconfigurable block based transpose form filter and fixed length transpose form FIR filter for DSP applications [6].…”

Section: Introductionmentioning

confidence: 99%

“…The table III presents the comparision between the exixting FIR filter structures form survey and proposed structure of FIR filter. The number of multipliers requred for the proposed design is 64 same as the direct form architecture [4] and transpose form structure [5], but the less number of delay elments or FFs comparitively all the existing structures. Due to the less number of delay elements the over delay for the propsed FIR filter is reduced to 4.487ns.…”

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confidence: 99%

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Design and Implementation of Block Based Transpose Form FIR Filter

Krishna¹,

Narasimhulu²,

Prasad³

2018

IJCA

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The transpose form configuration of Finite impulse response filter (FIR) does not support for block based processing se form FIR filter architecture is optimized and implemented. The basic Data Flow Graph (DFG) of transpose form FIR filter is converted into block based DFG and retiming is inserted in the DFG for low power consumption, reduced area and minimal delay. The generalized mathematical formulation is done for the retimed block based transpose form FIR filter and it is implemented with the block size of 4 for the filter length of 16 using Verilog Hardware Description Language (HDL). Later, it is synthesized using CADENCE-RTL compiler in TSMC 45nm CMOS library and power, area and delay reports are generated. The obtained results are compared with the few existing structures.

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Very large scale integration implementation of efficient finite impulse response filter architectures using novel distributed arithmetic for digital channelizer of software defined radio

Bhadavath

Livinsa

2022

Circuit Theory & Apps

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Always an efficient and low complexity reconfigurable filter architecture is required for the channel filters of digital channelizer in software-defined radio (SDR). In this paper, a block-based reconfigurable finite impulse response (FIR) filter is proposed using distributed arithmetic (DA) technique. The complexity of the conventional multiplier is replaced with the DA multiplication process, and the throughput of the entire filter is increased by block processing. Memory reuse is also achieved in the proposed direct form systolic FIR filter architecture due to parallel processing. The different bandwidth filters and the corresponding coefficients are stored in the look-up tables (LUTs) concerning different channels of the digital channelizer. The proper channel selection is used to choose an appropriate filter and partial products are generated using offset binary coding (OBC). Next, the multiplication process is done by the proposed decomposed LUT-based DA technique in the processing blocks of the filter. The proposed filter is coded by Verilog and synthesized by application specific integrated circuit (ASIC)-based tools from Cadence in 45 nm CMOS technology. The performance parameters such as area, delay, power consumption, area-delay product (ADP), and power delay product (PDP) are evaluated and compared with state-of-the-art works. The ADP and PDP values are saved by 44.1% and 30% by the proposed OBC-DA-based filter architecture than the conventional DA-based filter architecture, respectively.

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A High-Performance Energy-Efficient Architecture for FIR Adaptive Filter Based on New Distributed Arithmetic Formulation of Block LMS Algorithm

Cited by 93 publications

References 21 publications

LMS Adaptive Filters for Noise Cancellation: A Review

LMS Adaptive Filters for Noise Cancellation: A Review

Design and Implementation of Block Based Transpose Form FIR Filter

Very large scale integration implementation of efficient finite impulse response filter architectures using novel distributed arithmetic for digital channelizer of software defined radio

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