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Single-Channel and Multi-Channel Sinusoidal Audio Coding ...
https://ieeexplore.ieee.org/document/5618549/#:~:text=Single-Channel%20and%20Multi-Channel%20Sinusoidal%20Audio%20Coding%20Using%20Compressed,methodology%20is%20applied%20to%20sinusoidally%20modeled%20audio%20signals.
Compressed sensing and applications in positioning, audio ...
https://users.ics.forth.gr/~tsakalid/PAPERS/VALENCIA_Talk_2011-07-28.pdf
Compressed sensing and applications in positioning, audio coding, and video compression Institute of Computer Science Foundation for Research & Technology-Hellas (FORTH-ICS) Department of Computer Science, University of Crete Panagiotis Tsakalides
Compressive Sensing Resources - Rice University
Identification of sparse audio tampering using distributed source coding and compressive sensing techniques. (Preprint, 2008) [See also related conference publication: DAFX 2008] Marco Tagliasacchi, Giuseppe Valenzise, and Stefano Tubaro, Hash-based identification of sparse image tampering. (Preprint, 2008) [See also related conference publication:
MULTICHANNEL AUDIO CODING USING SINUSOIDAL …
https://users.ics.forth.gr/~tsakalid/PAPERS/CNFRS/2010-EUSIPCO_3.pdf
pressed sensing (CS) to multichannel audio coding. In this context, we consider how sinusoidally-modelled multichannel audio signals might be encoded using com-pressed sensing, as opposed to directly encoding the si-nusoidal parameters (amplitude, frequency, phase) as current state-of-the-art methods do. The results, ob-
Single-Channel and Multi-Channel Sinusoidal Audio …
https://ieeexplore.ieee.org/document/5618549/
Abstract: Compressed sensing (CS) samples signals at a much lower rate than the Nyquist rate if they are sparse in some basis. In this paper, the CS methodology is applied to sinusoidally modeled audio signals. As this model is sparse by definition in the frequency domain (being equal to the sum of a small number of sinusoids), we investigate whether CS can be …
(PDF) Exploiting the Sparsity of the Sinusoidal Model ...
https://www.researchgate.net/publication/29609567_Exploiting_the_Sparsity_of_the_Sinusoidal_Model_Using_Compressed_Sensing_for_Audio_Coding
Using Compressed Sensing for Audio Coding Anthony Griffin, Christos Tzagkarak is, T oni Hirvonen, Athanasios Mou chtaris and Panagiotis Tsakalides Institute of Computer Science, Foundation for ...
(PDF) Multichannel audio coding using sinusoidal …
https://www.researchgate.net/publication/228896714_Multichannel_audio_coding_using_sinusoidal_modelling_and_compressed_sensing
This paper explores the potential of applying com-pressed sensing (CS) to multichannel audio coding. In this context, we consider how sinusoidally …
ON COMPRESSIVE SENSING IN AUDIO SIGNALS
http://www.multimedia.ac.me/papers/on%20cs%20in%20audio%20signals.pdf
Abstract – The reconstruction of musical audio signal by using the Compressive Sensing technique is presented in the paper. Compressive Sensing can provide significant reduction of number of samples required by Shannon-Nyquist theorem. By reducing the number of samples, data compression is achieved along with the data acquisition. In
Theory and Applications of Compressive Sensing
https://docs.lib.purdue.edu/cgi/viewcontent.cgi?referer=&httpsredir=1&article=1401&context=ecetr
processing called compressive sensing. Compressive sensing developed from questions raised about the efficiency of the conventional signal processing pipeline for compression, coding and recovery of natural signals, including audio, still images and video. The usual sequence of steps involved includes the following. First, the analog
Compressed Sensing and Linear Codes over Real Numbers
http://pfister.ee.duke.edu/papers/Zhang-ita08.pdf
Abstract—Compressed sensing (CS) is a relatively new area of signal processing and statistics that focuses on signal recon-struction from a small number of linear (e.g., dot product) mea-surements. In this paper, we analyze CS using tools from coding theory because CS can also be viewed as syndrome-based source
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