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Advance compression and watermarking...

Borisagar, Komal.

Advance compression and watermarking technique for speech signals

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advance compression and watermarking technique for speech signalsby Rohit Thanki, Komal Borisagar, Surekha Borra.
Author:	Thanki, Rohit.
other author:	Borisagar, Komal.
Published:	Cham :Springer International Publishing :2018.
Description:	xviii, 69 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Digital watermarking.
Online resource:	http://dx.doi.org/10.1007/978-3-319-69069-8
ISBN:	9783319690698$q(electronic bk.)

Advance compression and watermarking technique for speech signals
Thanki, Rohit.

Advance compression and watermarking technique for speech signals[electronic resource] /by Rohit Thanki, Komal Borisagar, Surekha Borra. - Cham :Springer International Publishing :2018. - xviii, 69 p. :ill., digital ;24 cm. - Springerbriefs in electrical and computer engineering,2191-8112. - Springerbriefs in electrical and computer engineering..

This book introduces methods for copyright protection and compression for speech signals. The first method introduces copyright protection of speech signal using watermarking; the second introduces compression of the speech signal using Compressive Sensing (CS) Both methods are tested and analyzed. The speech watermarking method uses technology such as Finite Ridgelet Transform (FRT), Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) The performance of the method is evaluated and compared with existing watermarking methods. In the speech compression method, the standard Compressive Sensing (CS) process is used for compression of the speech signal. The performance of the proposed method is evaluated using various transform bases like Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD), and Fast Discrete Curvelet Transform (FDCuT)

ISBN: 9783319690698$q(electronic bk.)

Standard No.: 10.1007/978-3-319-69069-8doiSubjects--Topical Terms:

237825
Digital watermarking.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.824

Advance compression and watermarking technique for speech signals
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245 1 0 $a Advance compression and watermarking technique for speech signals $h [electronic resource] / $c by Rohit Thanki, Komal Borisagar, Surekha Borra.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xviii, 69 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springerbriefs in electrical and computer engineering, $x 2191-8112
520 $a This book introduces methods for copyright protection and compression for speech signals. The first method introduces copyright protection of speech signal using watermarking; the second introduces compression of the speech signal using Compressive Sensing (CS) Both methods are tested and analyzed. The speech watermarking method uses technology such as Finite Ridgelet Transform (FRT), Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) The performance of the method is evaluated and compared with existing watermarking methods. In the speech compression method, the standard Compressive Sensing (CS) process is used for compression of the speech signal. The performance of the proposed method is evaluated using various transform bases like Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD), and Fast Discrete Curvelet Transform (FDCuT)
650 0 $a Digital watermarking. $3 237825
650 0 $a Speech processing systems. $3 184755
650 1 4 $a Engineering. $3 210888
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650 2 4 $a Database Management. $3 273994
700 1 $a Borisagar, Komal. $3 802344
700 1 $a Borra, Surekha. $3 802309
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