Displaying similar documents to “High-rate wireless data communications: An underwater acoustic communications framework at the physical layer.”

M-ary phase modulation for digital watermarking

Yongqing Xin, Mirosław Pawlak (2008)

International Journal of Applied Mathematics and Computer Science

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In spread spectrum based watermarking schemes, it is a challenging task to embed multiple bits of information into the host signal. M-ary modulation has been proposed as an effective approach to multibit watermarking. It has been proved that an M-ary modulation based watermarking system outperforms significantly a binary modulation based watermarking system. However, in the existing M-ary modulation based algorithms, the value of M is restricted to be less than 256, because as M increases,...

Grid and Simulation of Digital Communication Systems

Manev, Nikolai (2010)

Serdica Journal of Computing

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The purpose of this paper is to turn researchers' attention to the use of grid computing for simulating digital communications and its large potential for decreasing significantly the duration of the experiments and for improving the statistical representativeness and reliability of the obtained results. * This work is partly supported by the National Science Fund of Bulgaria under Grant No. D002-146/16.12.2008.

Towards spike-based speech processing: A biologically plausible approach to simple acoustic classification

Ismail Uysal, Harsha Sathyendra, John G. Harris (2008)

International Journal of Applied Mathematics and Computer Science

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Shortcomings of automatic speech recognition (ASR) applications are becoming more evident as they are more widely used in real life. The inherent non-stationarity associated with the timing of speech signals as well as the dynamical changes in the environment make the ensuing analysis and recognition extremely difficult. Researchers often turn to biology seeking clues to make better engineered systems, and ASR is no exception with the usage of feature sets such as Mel frequency cepstral...

Comparison of speaker dependent and speaker independent emotion recognition

Jan Rybka, Artur Janicki (2013)

International Journal of Applied Mathematics and Computer Science

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This paper describes a study of emotion recognition based on speech analysis. The introduction to the theory contains a review of emotion inventories used in various studies of emotion recognition as well as the speech corpora applied, methods of speech parametrization, and the most commonly employed classification algorithms. In the current study the EMO-DB speech corpus and three selected classifiers, the k-Nearest Neighbor (k-NN), the Artificial Neural Network (ANN) and Support Vector...