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CiteSeerX — A Robust Audio Watermarking in Frequency Domain
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.7779#:~:text=Abstract%3A%20We%20present%20an%20efficient%20audio%20watermarking%20algorithm,DCT%20coefficients%20corresponding%20to%20the%20lowest%20frequency%20sub-band.
Audio watermarking technique in frequency domain ...
https://link.springer.com/article/10.1007/s11042-020-09338-y
Audio watermarking technique in frequency domain: comparative study MDCT Vs DCT Abstract. Digital watermarking is the art of hiding information in a digital document in order to protect it. The... Introduction. In the world of signal processing, digitizing data is a recent revolution. Indeed, the ...
CiteSeerX — A Robust Audio Watermarking in Frequency …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.7779
Abstract Abstract: We present an efficient audio watermarking algorithm in the frequency domain. Watermark for embedding is generated by a random number generator. The host signal is subjected to wavelet decomposition and the watermark is embedded in the DCT coefficients corresponding to the lowest frequency sub-band.
(PDF) A robust audio watermarking in frequency domain
https://www.researchgate.net/publication/234776339_A_robust_audio_watermarking_in_frequency_domain
Abstract: W e present an efficient audio watermarking algorithm in the frequency domain. Watermark for embed- Watermark for embed- ding is generated by a random number generator.
A Robust Audio Watermarking in Frequency Domain
http://www.wseas.us/e-library/conferences/2006madrid/papers/512-358.pdf
A novel audio watermarking method in frequency domain was described. Embedding and extraction of watermark is done in low frequency sub-band of the audio signal as human ear is less sensitive to changes in low frequency bands making it more resistant to attack from mp3 compression which removes high
High capacity audio watermarking using the high frequency ...
https://in3.uoc.edu/opencms_in3/export/sites/in3/webs/grups_de_recerca/Kison/_resources/documents/J3.pdf
Considering the embedding domain, audio watermarking techniques can be classified into time domain and frequency domain methods. Time domain watermarking schemes are relatively easy to implement and require less computing resources compared to transform domain watermarking methods. On
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