Document Type
Article
Rights
This item is available under a Creative Commons License for non-commercial use only
Disciplines
Applied mathematics
Abstract
This paper discusses a new approach to ‘watermarking’ digital signals using linear frequency modulated or ‘chirp’ coding. The principles underlying this approach are based on the use of a matched filter to provide a reconstruction of a chirped code that is uniquely robust, i.e. in the case of very low signal-to-noise ratios.
Chirp coding for authenticating data is generic in the sense that it can be used for a range of data types and applications (the authentication of speech and audio signals, for example). The theoretical and computational aspects of the matched filter and the properties of a chirp are revisited to provide the essential background to the method. Signal code generating schemes are then addressed and details of the coding and decoding techniques considered.
Recommended Citation
Blackledge, J.: Digital Watermarking and Self-Authentication using Chirp Coding. ISAST Transactions on Electronics and Signal Processing. ISSN 1797-2329, issue: No. 1, Vol. 1, pages: 61-71, 2007.

Publication Details
ISAST Transactions on Electronics and Signal Processing, vol: ISSN 1797-2329, issue: No. 1, Vol. 1, pages: 61 - 71, 2007