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Analysis of the Reconstruction of Sparse Signals in the ...

    https://ieeexplore.ieee.org/document/8327444#:~:text=The%20discrete%20cosine%20transform%20%28DCT%29%20can%20provide%20highly,signal%20processing%20using%20the%20CS%20theory%20and%20methods.
    none

Audio Compression using DCT & CS - IJERT

    https://www.ijert.org/research/audio-compression-using-dct-cs-IJERTV4IS010061.pdf
    study on compressed sensing of real, non-sparse, audio signals. With the help of spectral analysis and properties of the DCT, we can treat audio signals as sparse signals in the frequency domain. CS has been traditionally used to compress certain sparse images. DCT used as a signal preprocessor in order to

Audio Signal Compression using DCT and LPC Techniques

    http://ijettjournal.org/2015/volume-21/number-5/IJETT-V21P247.pdf
    Inside the loop take dct () of the input and compressed signal i.e convert the signal in form of frequencies. Then get the signal back by applying the idct () and plot the audio signals also plot the portion of audio signals as expanded view and plot the spectrogram of audio signal save to wave file and play the files.

DCT-compressive Sampling of Frequency- sparse …

    http://www.iaeng.org/publication/WCE2011/WCE2011_pp1553-1556.pdf
    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 propose to apply both techniques to the compression of audio signals.

Steganography in Audio Signals using Variable Bit ...

    https://www.ijert.org/research/steganography-in-audio-signals-using-variable-bit-replacement-method-in-dct-domain-IJERTV3IS041231.pdf
    reducing the size of the signal without reducing the quality of . the signal. Since we are working on audio signals here, we focus on the DCT of a 1-D sequence, especially DCT-II and its respective inverse, IDCT-II.Following are the definitions of the DCT-IIand IDCT-II [15]: A. DCT-II G= ( G) ( G)cos 𝜋2 J−1 G−1 2 , G=1

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