Data hiding within audio signals by Petrovic, Winograd, Jemili, Metois

By Petrovic, Winograd, Jemili, Metois

Show description

Read Online or Download Data hiding within audio signals PDF

Similar organization and data processing books

Visual and Spatial Analysis - Advances in Data Mining, Reasoning, and Problem Solving Boris Kovalerchuk (Springer 2004 596s)

Complex visible research and challenge fixing has been performed effectively for millennia. The Pythagorean Theorem was once confirmed utilizing visible ability greater than 2000 years in the past. within the nineteenth century, John Snow stopped a cholera epidemic in London by means of featuring particular water pump be close down. He came upon that pump by means of visually correlating facts on a urban map.

Entertainment Computing – ICEC 2004: Third International Conference, Eindhoven, The Netherlands, September 1-3, 2004. Proceedings

The development of knowledge and conversation applied sciences (ICT) has enabled huge use of ICT and facilitated using ICT within the inner most and private area. ICT-related industries are directing their company pursuits to domestic purposes. between those functions, leisure will differentiate ICT purposes within the inner most and private marketplace from the of?

Theory of Relational Databases

The idea of Relational Databases. David Maier. Copyright 1983, laptop technology Press, Rockville. Hardcover in first-class . markings. NO airborne dirt and dust jacket. Shelved in know-how. The Bookman serving Colorado Springs considering that 1990.

Additional info for Data hiding within audio signals

Sample text

In Proceedings of the 31st International Conference on Very Large Data Bases (pp. 1152-1163). , & O’Callaghan, L. (2003). Clustering data streams: Theory and practice. IEEE Transactions on Knowledge and Data Engineering, 15(3), 515–528. , & Domingos, P. (2001). Mining time-changing data streams. In Proceedings of the Seventh ACM SIGKDD international Conference on Knowledge Discovery and Data Mining (pp. 97-106). , & Yalamanchi, A. (2008). Using Oracle Extensibility Framework for Supporting Temporal and Spatio-Temporal Applications.

The reading timestamp; ai , j ,k is the value associated to the dimenp sional attribute Ak of the P-dimensional p model of the stream source si identified by idi, denoted by M s = 〈D( M s ), H( M s ), i i i M( M s )〉, being D( M s ), H( M s ) and i i i M( M s ) the set of dimensions, the set of i hierarchies and the set of measures of M s , i respectively. The definition above adheres to the so-called multidimensional data stream model, which is a fundamental component of the OLAP stream model introduced in the first Section.

Figure 3 depicts the hierarchical clustering tree. Every branching node contains split predicate information (band number and the split condition). The selected bands were found to be most discriminative in the identification of dense regions with low overlap. O-Cluster’s model transparency can be used to gain insight into the underlying structure of the data and can assist feature selection. The six leaf nodes in Figure 3 map to corresponding areas in Figure 2b (the same color coding is used in both figures).

Download PDF sample

Rated 4.75 of 5 – based on 50 votes