computation sharing
Recently Published Documents


TOTAL DOCUMENTS

20
(FIVE YEARS 4)

H-INDEX

4
(FIVE YEARS 1)

2020 ◽  
Vol 17 (3) ◽  
pp. 188-204
Author(s):  
Qianqian Wang ◽  
Qin Wang ◽  
Shi Jin ◽  
Hongbo Zhu ◽  
Xianbin Wang

As real time signals change continuously, adaptive filtering is required for noise cancellation. An adaptive filter is one whose characteristics can be modified by adjusting its parameters according to an optimization algorithm The adaptive filtering operations can be implemented as a sequence of logic operations on a Digital Signal Processing (DSP) chip,Gate Arrays such as FPGA or Application Specific Integrated Circuits. There is always a tradeoff in the parameters area, power and speed in VLSI. This paper provides the implementation of adaptive LMS Filter using different types of multiplier and its analysis for the various parameters. The LMS Filter is designed using conventional array multiplier, Computation Sharing Mutliplier(CSHM) and Karatsuba Vedic Multiplier. The results show 70% reduction in delay and 19% reduction in area on using Karatsuba Vedic Multiplier ofr adaptive filter design.


The Rredundant Binary (RB) systems are wellliked for the reason that of its distinctive carry broadcast free addition. Thus a specific filter called as Finite Impulse Response filter computes its yield exploitation multiply& accumulation process. At intervals the reward work, a FIR filter supported to new higher radix-256 and chemical element arithmetic is implemented. The employment of radix-256 booth secret writing cut down the amount of partial product rows in any multiplication by eight fold. Present work inputs and coefficients unit of measurement thought-about of 16-bit. Hence, entirely two partial product rows unit of quantity obtained in Redundant Binary (RB) kind for both input and constant multiplications. These two partial product rows unit of measurement added exploitation carry free element addition. The final output is converted back to Natural Binary (NB). The planned number technique for FIR filter is compared with Computation Sharing Multiplier (CSHM) implementation.


2015 ◽  
Vol 12 (2) ◽  
pp. 410-422 ◽  
Author(s):  
Bruno Duarte Gouveia ◽  
David Portugal ◽  
Daniel C. Silva ◽  
Lino Marques

Sign in / Sign up

Export Citation Format

Share Document