Mahesh Chandra

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Nitric oxide (NO) is an intra-and extracellular messenger that mediates diverse signaling pathways in target cells and is known to play an important role in many physiological processes including neuronal signaling, immune response, inflammatory response, modulation of ion channels, phagocytic defense mechanism, penile erection, and cardiovascular(More)
—This paper introduces and motivates the use of hybrid robust feature extraction technique for spoken language identification (LID) sys tem. The speech recognizers use a parametric form of a signal to get the most important distinguishable features of speech signal for recognition task. In this paper Mel-frequency cepstral coefficients (MFCC), Perceptual(More)
An image compression method using the wavelet transform, zero tree coding and adaptive arithmetic coding has been proposed. Here a novel static zeroth order adaptive arithmetic coder is being explored to improve the compression ratio. The proposed method decomposes an image into several subband images using the discrete wavelet transform, decorrelated(More)
This paper proposed an efficient algorithm for contrast enhancement of natural images. The contrast of images is very important characteristics by which the quality of images can be judged as good or poor. The proposed algorithm consists of two stages: In the first stage the poor quality of an image is processed by modified sigmoid function. In the second(More)
—This paper presents removal of additive gaussian noise by complex double density dual tree discrete wavelet Transform. However, wavelet coefficients of natural images have significant dependencies. For many natural signals, the wavelet transform is a more effective tool than the Fourier transform. The wavelet transform provides a multi resolution(More)
In this paper, acoustic echo cancellation with doubletalk detection system for a hand-free telecommuni-cation system is implemented using Matlab. Here adaptive noise canceller with blind source separation (ANC-BSS) system is proposed to remove both background noise and far-end speaker echo signal in presence of double-talk. During the absence of(More)
Paradigm shift in hydrocarbon exploration and development strategies has increased utilization of seismic data many fold for reservoir characterization. Complicated and nonlinear relationship between seismic attributes and reservoir properties has been addressed recently using artificial neural network techniques for lithofaices classification and(More)