Digit Recognition in Spiking Neural Networks using Wavelet Transform

H. Aghabarar; K. Kiani; P. Keshavarzi

Volume 11, Issue 2 , April 2023, , Pages 247-257


  Nowadays, given the rapid progress in pattern recognition, new ideas such as theoretical mathematics can be exploited to improve the efficiency of these tasks. In this paper, the Discrete Wavelet Transform (DWT) is used as a mathematical framework to demonstrate handwritten digit recognition in spiking ...  Read More

H.5. Image Processing and Computer Vision
Statistical Wavelet-based Image Denoising using Scale Mixture of Normal Distributions with Adaptive Parameter Estimation

M. Saeedzarandi; H. Nezamabadi-pour; S. Saryazdi

Volume 8, Issue 2 , April 2020, , Pages 289-301


  Removing noise from images is a challenging problem in digital image processing. This paper presents an image denoising method based on a maximum a posteriori (MAP) density function estimator, which is implemented in the wavelet domain because of its energy compaction property. The performance of the ...  Read More

H.5. Image Processing and Computer Vision
Pedestrian Detection in Infrared Outdoor Images Based on Atmospheric Situation Estimation

Seyed M. Ghazali; Y. Baleghi

Volume 7, Issue 1 , January 2019, , Pages 1-16


  Observation in absolute darkness and daytime under every atmospheric situation is one of the advantages of thermal imaging systems. In spite of increasing trend of using these systems, there are still lots of difficulties in analysing thermal images due to the variable features of pedestrians and atmospheric ...  Read More

H.3.15.2. Computational neuroscience
An Emotion Recognition Approach based on Wavelet Transform and Second-Order Difference Plot of ECG

A. Goshvarpour; A. Abbasi; A. Goshvarpour

Volume 5, Issue 2 , July 2017, , Pages 211-221


  Emotion, as a psychophysiological state, plays an important role in human communications and daily life. Emotion studies related to the physiological signals are recently the subject of many researches. In This study a hybrid feature based approach was proposed to examine affective states. To this effect, ...  Read More

H.6. Pattern Recognition
Classification of ECG signals using Hermite functions and MLP neural networks

A. Ebrahimzadeh; M. Ahmadi; M. Safarnejad

Volume 4, Issue 1 , March 2016, , Pages 55-65


  Classification of heart arrhythmia is an important step in developing devices for monitoring the health of individuals. This paper proposes a three module system for classification of electrocardiogram (ECG) beats. These modules are: denoising module, feature extraction module and a classification module. ...  Read More

High impedance fault detection: Discrete wavelet transform and fuzzy function approximation

M. Banejad; H. Ijadi

Volume 2, Issue 2 , July 2014, , Pages 149-158


  This paper presets a method including a combination of the wavelet transform and fuzzy function approximation (FFA) for high impedance fault (HIF) detection in distribution electricity network. Discrete wavelet transform (DWT) has been used in this paper as a tool for signal analysis. With studying different ...  Read More