By Nedeljko Cvejic, Tapio Seppanen

ISBN-10: 1599045133

ISBN-13: 9781599045139

ISBN-10: 159904515X

ISBN-13: 9781599045153

"Digital audio watermarking has been proposed as a brand new and replacement strategy to implement highbrow estate rights and shield electronic audio from tampering. electronic Audio Watermarking suggestions and applied sciences: functions and Benchmarks is a finished compilation of the key theoretical frameworks, learn findings, and useful purposes. With inclusive assurance of the main authoritative examine within the region, electronic Audio Watermarking options and applied sciences: functions and Benchmarks will function a necessary connection with researchers and practitioners in quite a few disciplines, together with engineering, details expertise, and electronic audio. With worth to a various variety of clients, this foremost Reference resource matches libraries in different settings."

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Extra info for Digital Audio Watermarking Techniques and Technologies: Applications and Benchmarks

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2001). The standard critical bands are included in the ISO/IEC 11172-3 (1993). The critical bands approximation used in alternative approaches can be found in Liu (2004) and Carnero and Drygajlo (1999). In this work, we divided the input audio signal into 25 sub bands using DWPT in the manner shown in Figure 19, where the band index is enumerated from 1 to 25 to cover the complete audible spectrum (frequencies up to 22 kHz). The corresponding frequencies obtained by this DWPT decomposition are listed in He and Scordilis (2006).

2001). The standard critical bands are included in the ISO/IEC 11172-3 (1993). The critical bands approximation used in alternative approaches can be found in Liu (2004) and Carnero and Drygajlo (1999). In this work, we divided the input audio signal into 25 sub bands using DWPT in the manner shown in Figure 19, where the band index is enumerated from 1 to 25 to cover the complete audible spectrum (frequencies up to 22 kHz). The corresponding frequencies obtained by this DWPT decomposition are listed in He and Scordilis (2006).

The mean of the wavelet coefficient values at the coarsest approximation sub band provides information about the low frequency distribution of the audio signal (Tzanetakis, Essl, & Cook, 2001), which represents the mostly perceptual components of the signal and is relatively stable after common signal processing (Li & Xue, 2003). This mean is adopted as the feature points for synchronization purpose in their system. The feature points synchronization method Spread Spectrum for Digital Audio Watermarking does not need to embed extra marks for synchronization, thus saving watermark capacity and introducing less distortion to the host signal.

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Digital Audio Watermarking Techniques and Technologies: Applications and Benchmarks by Nedeljko Cvejic, Tapio Seppanen


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