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30 articles for “gaussian noise”
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Power Spectral Study of Heart Rate Variability Time Series by the Adaptive Modified Continuous Morlet Wavelet Transform
Abstract: In this paper, a newly developed method referred as adaptive modified continuous Morlet wavelet transform has been proposed to improve the energy concentration in the time-frequency domain. The improvement is achieved by introducing the shape parameter to the Morlet function that is known as modified Morlet function. To make it adaptive, the modified Morlet function was optimized by concentration measure based on automatic determination algorithm. The proposed method was validated …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 2, 2017 · pp. 5–20 Read article
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BER Analysis of Convolutional Encoded DWT-OFDM and coded FFT-OFDM under Different Simulation Conditions
Abstract: In this study, we investigated the performance of Convolutional encoded Discrete Wavelet Transform based orthogonal frequency division multiplexing (DWT-OFDM) system over additive white Gaussian noise (AWGN) channel. QAM and PSK modulation have been used for simulations. Performance of Convolutional encoded DWT-OFDM is compared with uncoded DWT-OFDM system and encoded conventional OFDM system. Bit error rate (BER) is used as measuring parameter. Simulations have been done using MATLAB software. It has …
Published in Research & Reviews : Journal of Physics · Vol. 8, Issue 1, 2019 · pp. 7–19 Read article
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A Statistical Approach Noise Tolerant Texture Classification
Abstract: A simple, efficient, yet robust multi resolution approach to texture classification binary rotation invariant and noise tolerant. The proposed approach is very fast to build and very compact while remaining robust to illumination variations, rotation changes, and noise. We have developed a novel and simple strategy to compute a local binary descriptor based on the conventional local binary pattern (LBP) approach, preserving the advantageous characteristics of uniform LBP. Points are …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 3, Issue 2, 2016 · pp. 14–19 Read article
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Noise-Driven Collective Behavior in Mean-Field Coupled Lorenz Oscillator Networks
Abstract: This work investigates the spatiotemporal dynamics of an ensemble of 100 identical Lorenz oscillators coupled through a mean-field scheme in the presence of additive noise. Building on prior studies of spatiotemporal chaos in coupled Lorenz arrays and mean-field coupled chaotic oscillators, the focus is on how the competition between deterministic coupling and stochastic forcing shapes collective behavior, including complete synchronization, desynchronization, clustered states, and noise-modified spatiotemporal chaos. The governing equations …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Pedestrian Gait Parameter Measurement Using a Cascade of Edge and Corner Detection Technique
Abstract: ABSTRACTMost modern surveillance systems currently rely upon Closed Circuit TV feeds monitoring system. This report documents a new approach towards automating pedestrian recognition within typical video footage. The proposed work shows how the gait parameters can be measured from the video footage using the mathematical theory of Geometry and computer vision and pattern recognition technique which can be further used for recognize individuals. When people walk normal to the viewing …
Published in Journal of Computer Technology & Applications · Vol. 1, Issue 1-3, 2011 · pp. 75–88 Read article
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Analysis of Cooperative Communication Techniques
Abstract: The scope of this study is to analyze cooperative communication techniques by measuring the symbol error rate vs. signal to noise ratio and analyzing the merits and demerits of those techniques. Unless stated otherwise, the channel is modelled as Rayleigh fading and noise is modeled as white Gaussian. The results of this study can be used to understand the benefits of cooperative protocols and their necessity in future communication systems. …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 7, Issue 3, 2020 · pp. 1–9 Read article
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A Comparative Analysis on Image Enhancement and Filtering Techniques for Efficient Melanoma Skin Cancer Detection
Abstract: Skin cancers are becoming more prevalent worldwide due to the shortage of awareness on the symptoms and skin safety measures. The use of computer-aided diagnosis systems for melanoma detection can aid the doctors and technicians. Pre-processing an image plays a crucial role in separating the lesion from the skin and identifying the region of interest (ROI). As a result, in this proposed study of work, a thorough analysis is done …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 2, 2022 · pp. 40–47 Read article
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Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
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Wavelet Based Speckle Noise Reduction in Synthetic Aperture Radar Images
Abstract: Synthetic aperture radar (SAR) is an active imaging system that can achieve high resolutions both in range and azimuth. Speckle noise is one of the most critical disturbances that alter the quality of SAR coherent images. Before using SAR images in automatic target detection and recognition, the first step is to reduce the effect of speckle noise. In this paper, filtering techniques compares with proposed method have been used on …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 2, Issue 1, 2015 · pp. 26–30 Read article
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A Novel Blind Restoration Technique Using Different Edge Detection Methods
Abstract: Image restoration is a field of image processing in which we recover an original image from a degraded image. Objective of this paper is to compare different blurred and noisy images which are reconstructed with the help of blind deconvolution algorithm using different edge detection methods such as Canny, Sobel, Prewitt, Roberts, Laplacian. Initially original image is blurred using Gaussian filter. After that in the edges of blurred image ringing …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 2, 2014 · pp. 1–5 Read article