This article concerns the classification of household sounds for the development of an application to help people with hearing disabilities to resolve everyday situations which may present them with serious problems: telephone calls, the sound of the door bell, an alarm clock, the completion of a domestic appliance programme, etc. It presents the study carried out in order to obtain the best ac...

This paper proposes a model of information propagation mechanisms on the Web, describing all steps of its design and use in simulation. First the characteristics of a real network are studied, in particular in terms of citation policies: from a network extracted from the Web by a crawling tool, distinct publishing behaviours are identified and characterised. The Zero Crossing model for informat...

We present a practical and noise-robust speech recognition system which estimates a target-to-interferers power ratio using a zero-crossing-based binaural model and applies the power ratio to a channel attentive missing feature decoder in the cepstral domain. In a natural multisource environment, our binaural model extracts spatial cues at each zero-crossing of a filterbank output signal to loc...

A Low-Power High-Speed High-Resolution Zero-Crossing Based Pipelined Analog to Digital Converter

A novel electrocardiogram (ECG) signal de-noising and baseline wander correction method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and wavelet threshold is proposed. Although CEEMDAN is based on empirical mode decomposition (EMD), it represents a significant improvement of the original EMD by overcoming the mode-mixing problem. However, there has been ...

Recently as computer technology and multimedia information have developed, text information as well as various types of image information can easy to obtain and be stored. In this paper, we proposed the efficient method of context based image retrieval to extract the face image and audio features in the video sequence. The eigenvectors for face can be obtained by the principal component analysi...

The present work deals with the automatic detection of the sleep stages from the singlechannel EEG data. Various stages of sleep are Awake, sleep stage 1, 2, 3 and 4 and rapid eye movement. Statistical attributes are extracted with the help of Ensemble Empirical Mode Decomposition, Hjorth parameter and zero-crossing rate. Ten-cross fold classification process is followed after best ranked attri...

This paper presents simple and novel feature extraction approaches for segmenting continuous Bangla speech sentences into words/sub-words. These methods are based on two simple speech features, namely the time-domain features and the frequency-domain features. The time-domain features, such as short-time signal energy, short-time average zero crossing rate and the frequency-domain features, suc...

In order to investigate whether nonlinear methods of signal analysis provide a useful quantification for a successive classification of newborn cries, the present study computed the fractal dimension (D), the standard deviation (SD), the zero crossing, the fundamental frequency (fO) and the formant frequencies (Fl and F2) on cry segments produced by newborns in spontaneous way or during pain. T...

This article is present high-precision multi-wave rectifier circuit operating in low voltage + 1.5 Volt current modes by CMOS technology 0.5 μm, receive input and give output in current mode, respond at high frequency period. The structure compound with high-speed current comparator circuit, current mirror circuit, and CMOS inverter circuit. PSpice program used for confirmation the performance ...