List of Journals    /    Call For Papers    /    Subscriptions    /    Login
 
 
 
 
 SEARCH
By Author By Title
 
 
ABOUT CSC
 About CSC Journals
 CSC Journals Objectives
 List of Journals
 CALL FOR PAPERS
 Call For Papers CFP
 Special Issue CFP
AUTHOR GUIDELINES
 Submission Guidelines
 Peer Review Process
 Helpful Hints For Getting Published
 Plagiarism Policies
 Abstracting & Indexing
 Open Access Policy
 Submit Manuscript
 FOR REVIEWERS
 Reviewer Guidelines
 FOR EDITORIAL
 Editor Guidelines
 Join Us As Editor
 Launch Special Issue
 Suggest New Journal
 CSC LIBRARY
 Browse CSC Library
 Open Access Policy
  SERVICES
 Conference Partnership Program (CPP)
 Abstracting & Indexing
 SUBSCRIPTIONS
 Subscriptions
 Discounted Packages
 Archival Subscriptions
 How to Subscribe
 Librarians
 Subscriptions Agents
 Order Form
 DOWNLOADS
 
 
 
 
Design of an Adaptive Hearing Aid Algorithm using Booth-Wallace Tree Multiplier
Full text
 PDF(444.3KB)
Source 
International Journal of Logic and Computation (IJLP)
Table of Contents
Download Complete Issue    PDF(1.24MB)
Volume:  1    Issue:  1
Pages:  
Publication Date:   December 2010
ISSN (Online): 2180-1290
Pages 
1 - 17
Author(s)  
 
Published Date   
30-10-2010 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   Booth Multiplier, Booth Wallace Multiplier, Adaptive Lattice Filter 
 
 
This Manuscript is indexed in the following databases/websites:-
1. PDFCAST
2. Docstoc
3. Scribd
4. Google Scholar
5. refSeek
 
 
The paper presents FPGA implementation of a spectral sharpening process suitable for speech enhancement and noise reduction algorithms for digital hearing aids. Booth and Booth Wallace multiplier is used for implementing digital signal processing algorithms in hearing aids. VHDL simulation results confirm that Booth Wallace multiplier is hardware efficient and performs faster than Booth’s multiplier. Booth Wallace multiplier consumes 40% less power compared to Booth multiplier. A novel digital hearing aid using spectral sharpening filter employing booth Wallace multiplier is proposed. The results reveal that the hardware requirement for implementing hearing aid using Booth Wallace multiplier is less when compared with that of a booth multiplier. Furthermore it is also demonstrated that digital hearing aid using Booth Wallace multiplier consumes less power and performs better in terms of speed. 
 
 
 
1 S. K. Mitra. “DSP A Computer based Approach”. Tata McGraw Hill Publication, 2nd Edition, 2001
2 S. Ramamoha, S. Dandapat. “Sinusoidal Model based Analysis and Classification of Stressed Speech”. IEEE Trans. On Speech, Audio and Language Processing, 14(3):737- 746, 2006
3 R. Dhiman, A. Kumar and R. Bahl. “Design of low power multi-DSP module for acoustic signal processing on remote platforms”. Proc. Intl. Conf. on Sonar – Sensors and Systems, Kochi, 2002
4 A. Kumar, S. K. Mullick. "Nonlinear dynamical analysis of speech". Journal of Acoustical Society of America, 100(1):615-629, 1996
5 V. Venugopal, K.H. Abed and S.B. Nerurkar. “Design and implementation of a Decimation Filter for hearing aid applications”. Proceedings of IEEE Southeast Con: 2005
6 Edwards, B. D. “Signal Processing Techniques for a DSP Hearing Aid”. IEEE International Symposium on Circuits and Systems, 6:586 – 589,1998
7 O. O. Khalifa, M.H Makhtar, M.S. Baharom. “Hearing Aids System for Impaired People”. International journal of computing and Information science,2(1):23-26, 2004
8 F. Buergin, F. Carbognani and M. Hediger. “Low Power Architecture Trade-offs in a VLSI Implementation of an Adaptive Hearing Aid Algorithm”. IEEE, 2006
9 A. Schaub and P. Straub. “Spectral sharpening for speech enhancement/noise reduction”. In IEEE Acoustics, Speech and Signal Processing (ICASSP-91)1991
10 Wallace, C.S. “A suggestion for a fast multiplier”. IEEE Trans. Electron. Compute, EC-13:14-17, 1964
11 A. D. Booth. “A signed binary multiplication technique”. Quart. J. Math., IV(2):1951
12 L. P. Rubinfield. “A proof of the modified booth’s algorithm for multiplication”. IEEE Trans. Computers, 37: 1988.
13 M.J.Liao, C.F.Su, Chang and A. Wu. “A carry select adder optimization technique for high-performance Booth-encoded Wallace tree multipliers”. IEEE International Symposium on Circuits and Systems, 2002.
14 J. Wassner, H. Kaeslin, N. Felber, W. Fichtner. “Waveform coding for low-power digital filtering of speech data”. IEEE Transactions on Signal Processing, 51(6):1656– 1661, June 2003
15 Regalia, Phillip A. “Adaptive IIR Filtering in Signal Processing and Control”. Marcel Dekker, Inc., 1995
16 M. Nayeri, W. Jenkins. “Alternate realizations of adaptive IIR filters and properties of their performance surfaces”. IEEE Transactions on Circuits and Systems, 36:485-496, 1989
17 Charles H Roth. “Digital system design using VHDL”. Jr. Thomson Brooks/Cole
18 J. A. Maxwell, P. M. Zurek, “Reducing acoustic feedback in hearing aids”. IEEE Trans. Speech Audio Processing, 3:304–313, 1993
19 Sankarayya, N., Roy, K., and Bhattacharya, D. “Algorithms for Low-Power and High- Speed FIR Filter Realization Using Differential Coefficients”. IEEE Trans. On Circuits and Systems, 44(6):488-497, 1997
20 S. Haykin. “Adaptive Filter”. PHI Publication
 
 
 
 
 
 
 
 
Jitendra Kumar Das : Colleagues
K. K. Mahapatra : Colleagues  
 
 
 
  Untitled Document
 
Copyrights (c) 2012 Computer Science Journals. All rights reserved.
Best viewed at 1152 x 864 resolution. Microsoft Internet Explorer.
 
  
 
Copyrights & Usage: Articles published by CSC Journals are Open Access. Permission to copy and distribute any other content, images, animation and other parts of this website is prohibited. CSC Journals has the rights to take action against individual/group if they are found victim of copying these parts of the website.