A novel compressed sensing approach to speech signal compression

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096922" target="_blank" >RIV/61989100:27240/15:86096922 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-319-27247-4_7" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-27247-4_7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-27247-4_7" target="_blank" >10.1007/978-3-319-27247-4_7</a>

Result language
angličtina
Original language name
A novel compressed sensing approach to speech signal compression
Original language description
ompressed sensing (CS) is a technique to sample compressible signals below the Nyquist rate, whilst still allowing near optimal reconstruction of the signal. In this paper, we apply the iterative hard thresholding (IHT) algorithm for compressed sensing on the speech signal. The interested speech signal is transformed to the frequency domain using Discrete Fourier Transform (DCT) and then compressed sensing is applied to that signal. The compressed signal can be reconstructed using the recently introduced Iterative Hard Thresholding (IHT) algorithm and also by the tradditional ? 1 minimization (basic pursuit) for comparison. It is shown that the compressed sensing can provide better root mean square error (RMSE) than the tradition DCT compression method, given the same compression ratio.
Czech name
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Czech description
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Lecture Notes in Electrical Engineering. Volume 371
ISBN
978-3-319-27245-0
ISSN
1876-1100
e-ISSN
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Number of pages
11
Pages from-to
75-85
Publisher name
Springer
Place of publication
New York
Event location
Ho Chi Minh City
Event date
Dec 9, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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