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In real‐time, the images captured are not always appreciable for visual perception. The quality of the image relies on the illumination condition. Contrast enhancement is required to improve the visual quality of the image. In this article, the image enhancement techniques that are adaptable for real‐time images are studied. Further, an investigation is done on implementing the image processing algorithms...
In recent years, there is a tremendous development in wireless standards. The objective of this research is to build usability and quality to the end user experience for streaming multimedia content between from small screen devices to large screen devices wirelessly. This is achieved by utilizing peer-to-peer connection with less power consumption in the design. Also by reconfiguring a low power...
Speech recognition systems are ubiquitous and find its application in automated voice control, voice dialling and automated directory assistance. This paper aims at implementing a neural network based isolated spoken word recognition system on an embedded board — Raspberry Pi using open source software called octave. Mel-Frequency Cepstral Coefficient (MFCC) features are extracted from speech signal...
Urban air pollution rate has grown to alarming state across the India. Most of the cities are facing issue of poor air quality which fails to meet standards of air for good health. It is indeed necessary to develop an air pollution measurement and prediction system for a smart city. This proposed work acquires carbon dioxide and carbon monoxide level in the air along with Global Positioning System...
Discrete Wavelet Transform (DWT) is used in signal compression and enhancement applications. DWT could be implemented using recursive Finite Impulse Response (FIR) filtering. DWT is a very effective analysis tool for many practical applications. Due to computational intensive nature because of multiply operations being a part of, real time processing of signals is being a tough task, as the implementations...
An efficacious implementation of Internet of Things (IoTs) based omnipresent sensing and monitoring system for domestic as well as non-domestic environments. The structure of the sensing-monitoring system is established on the combination of ubiquitous sensing units, controlling system for data acquisition, manipulation and aggregation and internet based platform for setting an efficient monitoring...
This paper presents robust feature extraction techniques for isolated word recognition under noisy conditions. The proposed hybrid feature extraction techniques are Bark Frequency Cepstral Coefficients (BFCC) and Weighted Average Mel-Frequency Cepstral Coefficient (WMFCC). Both methods are tested in various noisy environments using a single Gaussian Hidden Markov Model (HMM) based isolated digit recognition...
Viterbi algorithm is a dynamic programming algorithm used to find out the most likely word uttered by the unknown speech signal. In Viterbi algorithm, the observation probabilities are calculated using Gaussian distribution function. For implementation of Viterbi decoder, these probability values are initially stored in RAM. Thus conventional Viterbi decoder requires large RAM for its execution. In...
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