Search Results - offset-binary coding ((((((obc OR obceeeeeiieeeei) OR obciiiee) OR spec) OR obsei) OR obciiiee))~
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Architectural Trade-Off Analysis for Accelerating LSTM Network Using Radix-r OBC Scheme
ISSN: 1549-8328, 1558-0806Published: New York IEEE 01.01.2023Published in IEEE transactions on circuits and systems. I, Regular papers (01.01.2023)“… (LSTM) network based on circulant matrix-vector multiplications (MVMs) using radix-<inline-formula> <tex-math notation="LaTeX">r </tex-math></inline-formula> offset binary coding…”
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2
Analysis and Implementation of Block Least Mean Square Adaptive Filter using Offset Binary Coding
ISSN: 2379-447XPublished: IEEE 01.05.2018Published in IEEE International Conference on Circuits and Systems (Online) (01.05.2018)“…) for finite-impulse-response (FIR) adaptive filter using offset binary coding (OBC). The proposed approach is based on distributed arithmetic (DA…”
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3
A NOVEL ALU USING DISTRIBUTED ARITHMETIC FOR REAL TIME SIGNAL PROCESSING APPLICATION
ISSN: 2620-2832, 2683-4111Published: University of Kragujevac 10.03.2025Published in Proceedings on engineering sciences (Online) (10.03.2025)“… It is the ALU that helps perform accurate computations on real-time signals. Proposed study a novel in-site method for designing a Distributed Arithmetic and Offset Binary Coding-based ALU core for High-Speed DSP Processors…”
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4
Optimal Complexity Architectures for Pipelined Distributed Arithmetic-Based LMS Adaptive Filter
ISSN: 1549-8328, 1558-0806Published: New York IEEE 01.02.2019Published in IEEE transactions on circuits and systems. I, Regular papers (01.02.2019)“…) based least-mean-square (LMS) adaptive filter. The complexity of proposed structures is reduced by implementing offset-binary-coding (OBC…”
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5
Low-Area and High-Throughput Architecture for an Adaptive Filter Using Distributed Arithmetic
ISSN: 1549-7747, 1558-3791Published: New York IEEE 01.11.2013Published in IEEE transactions on circuits and systems. II, Express briefs (01.11.2013)“… recalculated. A new strategy based on the offset binary coding scheme has been proposed in order to update these LUTs from time to time…”
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6
Low Complexity and Critical Path Based VLSI Architecture for LMS Adaptive Filter Using Distributed Arithmetic
ISSN: 2380-6923Published: IEEE 01.01.2017Published in VLSI design (01.01.2017)“…This paper presents a new architecture for distributed arithmetic (DA) based Least Mean Square (LMS) adaptive filter with low hardware complexity and critical…”
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7
High Throughput Parallelized Realization Of Adaptive FIR Filter Based On Distributive Arithmetic Using Offset Binary Coding
Published: IEEE 01.07.2019Published in 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (01.07.2019)“…The paper explores the applications of Offset Binary Coding (OBC) based representation of bits in the field of adaptive filtering…”
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8
Area and Power Efficient VLSI Architecture of Distributed Arithmetic Based LMS Adaptive Filter
ISSN: 2380-6923Published: IEEE 01.01.2018Published in VLSI design (01.01.2018)“… The proposed scheme has reducedthe LUT size to half by storing the offset-binary-coding (OBC) combinations of filter weights and input samples…”
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9
Design of parallel and pipelined DA based OBC fir filter for software defined radio
ISSN: 2502-4752, 2502-4760Published: 01.06.2019Published in Indonesian Journal of Electrical Engineering and Computer Science (01.06.2019)“…Software Defined Radio (SDR) is a new technology used to implement different wireless communication standard for mobile communication. The Intermediate…”
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10
Modified Sliding-Block Distributed Arithmetic with Offset Binary Coding for Adaptive Filters
ISSN: 1939-8018, 1939-8115Published: Boston Springer US 01.04.2011Published in Journal of signal processing systems (01.04.2011)“…). However, a disadvantage of distributed arithmetic is the amount of memory utilized. By encoding the memory tables in offset binary code (OBC…”
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11
Adaptive filters using modified sliding-block distributed arithmetic with offset binary coding
ISBN: 9781424423538, 1424423538ISSN: 1520-6149Published: IEEE 01.04.2009Published in 2009 IEEE International Conference on Acoustics, Speech and Signal Processing (01.04.2009)“…). One disadvantage of distributed arithmetic is the amount of memory utilized. By encoding the memory tables in offset binary code (OBC…”
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12
A distributed arithmetic based approach for the implementation of the Sign-LMS adaptive filter
Published: IEEE 01.01.2015Published in 2015 International Conference on Signal Processing and Communication Engineering Systems (SPACES) (01.01.2015)“…A Distributed Arithmetic (DA) based scheme for the implementation of Sign-LMS adaptive filter is presented. DA is an efficient technique for the computation of…”
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13
Very large scale integration implementation of efficient finite impulse response filter architectures using novel distributed arithmetic for digital channelizer of software defined radio
ISSN: 0098-9886, 1097-007XPublished: Bognor Regis Wiley Subscription Services, Inc 01.03.2023Published in International journal of circuit theory and applications (01.03.2023)“…Always an efficient and low complexity reconfigurable filter architecture is required for the channel filters of digital channelizer in software‐defined radio…”
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14
Block Processing-Based Diagonal Symmetry 2D FIR Filter Architecture Design Using OBC DA
Published: IEEE 27.12.2024Published in 2024 Recent Advances in Sustainable Engineering and Future Technologies (RASEFT) (27.12.2024)“…) logic Offset Binary Coding (OBC)-based multiplication approach replaces the remaining multipliers of the filter architecture…”
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15
Two Distributed Arithmetic Based High Throughput Architectures of Non-Pipelined LMS Adaptive Filters
ISSN: 2169-3536, 2169-3536Published: Piscataway IEEE 2022Published in IEEE access (2022)“…) using two's complement (TC) and offset-binary coding (OBC) respectively. We formulate the LMS algorithm using the steepest descent approach with possible extension to its power-normalized LMS version and followed by its convergence properties…”
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16
An Optimized VLSI Implementation of the Least Mean Square (LMS) Adaptive Filter Architecture on the Basis of Distributed Arithmetic Approach
ISSN: 2250-2106, 2250-2114Published: New Delhi Springer India 01.06.2025Published in Journal of the Institution of Engineers (India). Series B, Electrical Engineering, Electronics and telecommunication engineering, Computer engineering (01.06.2025)“… The utilization of offset binary coding (OBC) combinations for input samples in hardware implementation has led to a reduction in the complexity of the suggested architectures…”
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17
Implementation of Fir Filter Using Distributed Arithmetic and Distributed Arithmetic Off-Set Binary Coding Algorithms
ISSN: 2581-9429, 2581-9429Published: 24.07.2021Published in International Journal of Advanced Research in Science, Communication and Technology (24.07.2021)“…This paper is the study of implementation of FIR filter using Distributed Arithmetic and Distributed Arithmetic Offset Binary Coding Algorithms…”
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18
Implementation of FIR filter on FPGA using DAOBC algorithm
ISBN: 142447616X, 9781424476169ISSN: 2160-1283Published: IEEE 01.12.2010Published in The 2nd International Conference on Information Science and Engineering (01.12.2010)“…) and DA-Offset Binary Coding (DA-OBC). Second, The circuit design of FIR low-pass filter base on DA-OBC algorithm is proposed and synthesized under the integrated environment of maxplus 2…”
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19
FPGA-BASED ANALYSIS AND PERFORMANCE EVALUATION OF FIR FILTERS
ISSN: 2582-7472, 2582-7472Published: 30.06.2024Published in ShodhKosh: Journal of Visual and Performing Arts (30.06.2024)“…Finite impulse response (FIR) filters are widely used in digital signal processing because of their many benefits. Because these filters are naturally stable,…”
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20
A New High Performance VLSI Architecture for LMS Adaptive Filter Using Distributed Arithmetic
ISSN: 2159-3477Published: IEEE 01.07.2017Published in Proceedings / IEEE Computer Society Annual Symposium on VLSI (01.07.2017)“…) based LUT for storing offset binary coding (OBC) combinations of input samples and filter weights…”
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