Building an acoustic-based event recognition system for smart homes is a challenging task due to the lack of high-level structures in environmental sounds. In particular, the selection of effective features is still an open problem. We make an important step toward this goal by showing that the combination of Mel-Frequency Cepstral Coefficients, ZeroCrossing Rate, and Discrete Wavelet Transform...

Image intensity and edge are two major sources of information for estimating the motion in the image plane. The 2-D motion obtained by analyzing the deformation of intensity and/or edges is used to recover the 3-D motion and structure. In this paper we show that the motion defined by the image intensity differs from the motion revealed by the (zerocrossing) edge. Understanding of this discrepan...

We present a new feature-based method for estimating the speaking rate by detecting vowels in continuous speech. The features used are the modified loudness and the zerocrossing rate which are both calculated in the standard preprocessing unit of our speech recognition system. As vowels in general correspond to syllable nuclei, the feature-based vowel rate is comparable to an estimate of the le...

We present a new feature-based method for estimating the speaking rate by detecting vowels in continuous speech. The features used are the modified loudness and the zerocrossing rate which are both calculated in the standard preprocessing unit of our speech recognition system. As vowels in general correspond to syllable nuclei, the feature-based vowel rate is comparable to an estimate of the le...

The speech signal is modeled using zerocrossing interval distribution of the signal in time domain. The distributions of these parameters are studied over five Malayalam (one of the most popular Indian language) vowels. We found that the distribution patterns are almost similar for repeated utterances of the same vowel and varies from vowel to vowel. These distribution patterns are used for rec...

This paper introduces a new approach for utilizing the multi-resolution wavelet decomposing for shoreline change rate detection from RADARSAT-1 SAR image. The wavelet approximation of the Two RADARSAT-1 SAR images (1998-2004) defined by the sum two-dimensional wavelet functions at different scales and locations. The raw RADARSAT-1 SAR images were decomposed into a low and high frequencies image...

We demonstrate, through simulation, that a simple centre surround receptive field of vision is capable of exhibiting stochastic resonance. We also show that this could be used to model the nature of contrast sensitivity enhancement of human vision, through stochastic resonance, observed in psychophysical experiments. Keywords-stochastic resonance; contrast sensitivity; zerocrossing; centre surr...

| Since the first demonstration of a comparatorbased switched-capacitor circuit, analog-to-digital (A/D) converters based on virtual ground detection have made steady and significant progress. Comparators have been replaced by zero-crossing detectors, leading to the development of zerocrossing based circuits for faster speed and lower power. All facets of performance including the sampling rate...

This paper presents a low-complexity real-time single-tone phase and frequency estimation technique based on zero-crossing detection and linear regression. The proposed zerocrossing phase and frequency estimator fills a gap between lowcomplexity phase locked loop estimation and high-performance maximum likelihood estimation. Similar to a phase locked loop, the zero-crossing phase and frequency ...