We have collected the most relevant information on Sparse Modeling For Lossless Audio Compression. Open the URLs, which are collected below, and you will find all the info you are interested in.
Sparse Modeling for Lossless Audio Compression | IEEE ...
https://dl.acm.org/doi/10.1109/TASL.2012.2211014
We investigate the problem of sparse modeling for predictive coding and introduce an efficient algorithm for computing sparse stereo linear predictors for …
CiteSeerX — Sparse Modeling for Lossless Audio …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.638.4853
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract—We investigate the problem of sparse modeling for predictive coding and introduce an efficient algorithm for computing sparse stereo linear predictors for lossless audio com-pression. Sparse linear predictive coding offers both improved compression and reduction of decoding …
Sparse Modeling for Lossless Audio Compression | …
https://www.researchgate.net/publication/260692932_Sparse_Modeling_for_Lossless_Audio_Compression
The objective of this technique is to improve decoding speed performance and compression ratio when compared widely existing non-sparse models …
Sparse Modeling for Lossless Audio Compression — Tampere ...
https://researchportal.tuni.fi/en/publications/sparse-modeling-for-lossless-audio-compression
Translated title of the contribution: Sparse Modeling for Lossless Audio Compression: Original language: English: Pages (from-to) 12-26: Journal: IEEE Transactions on Audio Speech and Language Processing
14 IEEE TRANSACTIONS ON AUDIO, SPEECH, AND …
https://homepages.tuni.fi/ioan.tabus/2013GhidoTabus.pdf
Sparse Modeling for Lossless Audio Compression Florin Ghido, Student Member, IEEE,andIoanTabus, Senior Member, IEEE Abstract—We investigate the problem of sparse modeling for predictive coding and introduce an efficient algorithm for computing sparse stereo linear predictors for lossless audio com-pression.
Sparse Modeling for Lossless Audio Compression - CORE
https://core.ac.uk/display/102603877
Abstract—We investigate the problem of sparse modeling for predictive coding and introduce an efficient algorithm for computing sparse stereo linear predictors for lossless audio com-pression. Sparse linear predictive coding offers both improved compression and reduction of decoding complexity compared with non-sparse linear predictive coding.
(PDF) A review of lossless audio compression standards …
https://www.researchgate.net/publication/319855729_A_review_of_lossless_audio_compression_standards_and_algorithms
We investigate the problem of sparse modeling for predictive coding and introduce an efficient algorithm for computing sparse stereo linear predictors for …
Minimum Description Length Sparse Modeling and …
https://ieeexplore.ieee.org/abstract/document/8006204/
Minimum Description Length Sparse Modeling and Region Merging for Lossless Plenoptic Image Compression Abstract: This paper proposes a complete lossless compression method for exploiting the redundancy of rectified light-field data. The light-field data consist of an array of rectified subaperture images, called for short views, which are ...
Sparse modeling for efficient region and object based ...
https://sp.utcluj.ro/RTSP2017/Presentations/08_RTSP2017_IoanTabus.pdf
plenoptic cameras combining sparse predictive coding and JPEG 2000", ICIP 2017, Beijing, September 2017. 4P. Helin, P. Astola, B. Rao, and I. Tabus, \Minimum description length sparse modeling and region merging for lossless plenoptic image compression", Accepted with minor revisons, Journal Selected Topics on Signal Processing, 2017.
Ioan Tabus - TUNI
https://homepages.tuni.fi/ioan.tabus/
Audio. o F. Ghido and I. Tabus, " Sparse modeling for lossless audio compression ". IEEE Transactions on Audio, Speech, and Language Processing, 21:1, pp. 14-28, Jan. 2013. Bioinformatics. o GeNML the page of the NML based DNA compression project.
Now you know Sparse Modeling For Lossless Audio Compression
Now that you know Sparse Modeling For Lossless Audio Compression, we suggest that you familiarize yourself with information on similar questions.