Call For Paper Volume:4 Issue:8 Aug'2017 |

FREQUENCY SPARSE AUDIO SIGNAL USING BY DCT AND COMPRESSIVE SAMPLING

Publication Date : 28/02/2015



Author(s) :

Jyoti N.Phasale , C.S.Patil , U.S.Jathar , U.S.Jathar.


Volume/Issue :
Volume 2
,
Issue 2
(02 - 2015)



Abstract :

The discrete cosine transform (DCT) and the compressive sampling (CS) are two signal processing techniques with many applications on a great number of engineering fields. In this paper, we advise to apply both techniques to the compression of audio signals. Using spectral analysis and the properties of the DCT, we can treat audio signals as thin signals in the frequency domain. This is particularly true for sounds representing tones. On the other hand, CS has been traditionally used to acquire and compress certain sparse images. We propose the use of DCT and CS to obtain an efficient representation of audio signals, especially when they are sparse in the frequency. By using the DCT as signal preprocessor in order to obtain a sparse representation in the frequency domain, we show that the successive application of CS represent our signals with less information than the well-known sampling theorem. This means that our results may possibly be the basis for a new compression method for audio and speech signals. Key words—Audio signals, Compressive sampling, DCT, PSNR, SNR,Sparsity.


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FREQUENCY SPARSE AUDIO SIGNAL USING BY DCT AND COMPRESSIVE SAMPLING

February 21, 2015