Low Cost Journal,International Peer Reviewed and Refereed Journals,Fast Paper Publication approved journal IJEDR(ISSN 2321-9939) apply for ugc care approved journal, UGC Approved Journal, ugc approved journal, ugc approved list of journal, ugc care journal, care journal, UGC-CARE list, New UGC-CARE Reference List, UGC CARE Journals, ugc care list of journal, ugc care list 2020, ugc care approved journal, ugc care list 2020, new ugc approved journal in 2020, Low cost research journal, Online international research journal, Peer-reviewed, and Refereed Journals, scholarly journals, impact factor 7.37 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool)
INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

Current Issue

Call For Papers
July 2022

Volume 10 | Issue 3
Last Date : 29 July 2022
Review Results: Within 12-20 Days

For Authors

Archives

Indexing Partner

Research Area

LICENSE

Paper Details
Paper Title
Adaptive Compressed Sensing of Speech Signals
Authors
  Manipal Reddy Kuchakuntla

Abstract
Compressed Sensing (CS) is an emerging signal acquisition theory that provides a universal approach for characterizing signals which are sparse or compressible on some basis at sub-Nyquist sampling rate. Based on an over-complete data as the sparse basis specialized for speech signals, CS Sampling and reconstruction of speech signal are realized. Furthermore, we propose to choose the sensing matrix adaptively, according to the energy distribution of original speech signal. Experimental results show significant improvement of speech reconstruction quality by using such adaptive approach against traditional random sensing matrix. The key objective in compressed sensing (also referred to as sparse signal recovery or compressive sampling) is to reconstruct a signal accurately and efficiently from a set of few non-adaptive linear measurements. The compressed sensing field has provided many recovery algorithms, most with provable as well as empirical results. There are several important traits that an optimal recovery algorithm must possess. The algorithm needs to be fast, so that it can efficiently recover signals in practice. The algorithm should provide uniform guarantees, meaning that given a specific method of acquiring linear measurements, the algorithm recovers all sparse signals (possibly with high probability). Ideally, the algorithm would require as few linear measurements as possible. However, recovery using only this property would require searching through the exponentially large set of all possible lower dimensional subspaces, and so in practice is not numerically feasible. Thus in the more realistic setting, we may need slightly more measurements. Finally, we wish our ideal recovery algorithm to be stable. This means that if the signal or its measurements are perturbed slightly, then the recovery should still be approximately accurate. This is essential, since in practice we often encounter not only noisy signals or measurements, but also signals that are not exactly sparse, but close to being sparse. The conventional scheme in signal processing, acquiring the entire signal and then compressing it, was questioned by Donoho. Indeed, this technique uses tremendous resources to acquire often very large signals, just to throw away information during compression.

Keywords- -
Publication Details
Unique Identification Number - IJEDR1403059
Page Number(s) - 3177-3181
Pubished in - Volume 2 | Issue 3 | Sept 2014
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Manipal Reddy Kuchakuntla,   "Adaptive Compressed Sensing of Speech Signals", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 3, pp.3177-3181, Sept 2014, Available at :http://www.ijedr.org/papers/IJEDR1403059.pdf
Share This Article


Article Preview

ISSN Details




DOI Details



Providing A digital object identifier by DOI
How to get DOI?

For Reviewer /Referral (RMS)

Important Links

NEWS & Conference

Digital Library

Our Social Link

© Copyright 2022 IJEDR.ORG All rights reserved