Multimodal dialogue systems allow users to input information in multiple modalities. These systems can handle simultaneous or sequential composite multimodal input. Different coordination schemes require such systems to capture, collect and integrate user input in different modalities, and then respond to a joint interpretation. We performed a study to understand the variability of input in mul...

The aim of the project is to detect and classify the brain tumor from MRI image. This project involves mainly 6 stages namely Input Image, Preprocessing, Segmentation, Post Processing, Feature Extraction and Classification. In this phase, 4 stages are implemented, Input image, preprocessing, segmentation and post processing. Input image reads the MRI brain image. Preprocessing mainly includes i...

In this correspondence, an image resolution enhancement technique based on interpolation of the high frequency subband images obtained by discrete wavelet transform (DWT), stationary wavelet transform (SWT) and the input image has been proposed. The image quality has been enhanced by incorporating stationary wavelet transform (SWT). DWT decomposes an input image into four subbands. Out of these...

Stereo echo cancellation requires a fast converging adaptive algorithm because the stereo input signals are highly cross correlated and the convergence rate of the misalignment is slow even after preprocessing for unique identification of stereo echo paths. To speed up the convergence, we propose enhancing the contribution of the decorrelated components in the preprocessed input-signal vector t...

Most current techniques for near-end speech intelligibility enhancement have focused on processing clean input signals, however, in realistic environments, the input is often noisy. Processing noisy speech for intelligibility enhancement using algorithms developed for clean signals can lower the perceptual quality of the samples when they are listened in quiet. Here we address the quality loss ...

Satellite images are being used in numerous fields of aspects. The major controversy of various types of images is their resolution. In this paper, proposed a new satellite image resolution enhancement technique based on the interpolation of the high frequency sub bands obtained by discrete wavelet transform and the input image. The proposed declaration intensification technique uses DWT to dec...

An image resolution enhancement technique based on interpolation of the high frequency subband images obtained by discrete wavelet transform (DWT) and the input image. The edges are enhanced by introducing an intermediate stage by using stationary wavelet transform (SWT). DWT is applied in order to decompose an input image into different subbands. Then the high frequency subbands as well as the...

——A Bismuth-doped ber amplier (BDFA) in a double-pass conguration is proposed and demonstrated. The BDFA consists of a Bismuth-doped phosphogermanosilicate (BiPGeSiO2) ber pumped by a Titanium––Sapphire source at 810 nm. The BDFA has an amplied spontaneous emission (ASE) spectrum with a 3-dB bandwidth from 1220 to 1490 nm. The maximum gain of the proposed BDFA is 2.0 dB at an input signal ...

A very important step in automatic fingerprint recognition system is to automatically and reliably extract minutia from the input fingerprint images. But the performance of a minutia extraction algorithm relies heavily on the quality of the input fingerprint images and the image processing techniques used for enhancing the ridges and valleys of the fingerprint image and make the minutia disting...

Dendrites can influence and improve information processing in single neurons. Here, simple models are used to elucidate mechanisms underlying the dendritic enhancement of coincidence detection. We focus on coincidence-detecting cells in the auditory system, which have bipolar dendrites and show acute sensitivity to interaural time difference (ITD), a critical cue for spatial hearing. A three-co...