The rapid spread in digital data usage in many real life applications have urged new and effective ways to ensure their security. Efficient secrecy can be achieved, at least in part, by implementing steganograhy techniques. Novel and versatile audio steganographic methods have been proposed. The goal of steganographic systems is to obtain secure and robust way to conceal high rate of secret data. We focus in this paper on digital audio steganography, which has emerged as a prominent source of data hiding across novel telecommunication technologies such as covered voice-over-IP, audio conferencing, etc. The multitude of steganographic criteria has led to a great diversity in these system design techniques. In this paper, we review current digital audio steganographic techniques and we evaluate their performance based on robustness, security and hiding capacity indicators. Another contribution of this paper is the provision of a robustness-based classification of steganographic models depending on their occurrence in the embedding process. A survey of major trends of audio steganography applications is also discussed in this paper.

No abstract

No abstract

No abstract

No abstract

No abstract

No abstract

Developing fast and robust methods for identifying multiple FIR channels driven by an unknown common source is important for wireless communications. In this letter, we present a new method that exploits a minimum noise subspace (MNS). The MNS is computed from a set of channel output pairs which form a "tree". The "tree" exploits with minimum redundancy the diversity among all channels. The MNS method is much more eflcient in computation and only slightly less robust to channel noise than the subspace method by Moulines et al.