during the last two decades, maximum likelihood estimation (ml) has been used to determine direction of arrival (doa) and signals propagated by the sources, using narrowband array signals. the algorithm fails in the case of wideband signals. as an attempt by the present study to overcome the problem, the array outputs are transformed into narrowband frequency bins, using short time fourier tran...

This paper presents a digital signal processing tool developed using Matlab TM , which provides a very low­cost and effective strategy for analog­to­digital conversion of legated paper biomedical maps without requiring dedicated hardware. This software­based approach is particularly helpful for digitalizing biomedical signals acquired from analogical devices equipped with a plottingter. Albeit ...

the record of human brain neural activities, namely electroencephalogram (eeg), is generally known as a non-stationary and nonlinear signal. in many applications, it is useful to divide the eegs into segments within which the signals can be considered stationary. combination of empirical mode decomposition (emd) and hilbert transform, called hilbert-huang transform (hht), is a new and powerful ...

in recent years, wavelet packet modulation ofdm (wpm-ofdm) signals have been introduced for radar applications. these signals have important properties such as inherent high range resolution and high resistance of radar system against jamming reception. this paper investigates the problem of designing these family of signals according to the following criteria: constrained maximization of the d...

background: noise pollution is one of the most harmful ambiance disturbances. it may cause many deficits in ability and activity of persons in the urban and industrial areas. it also may cause many kinds of psychopathies. therefore, it is very important to measure the risk of this pollution in different area. methods: this study was conducted in the department of medical physics and biomedical ...

Snoring is the often earliest symptom of Obstructive Sleep Apnoea (OSA) and other respiratory problems. A successful medical outcome depends on an accurate preoperative diagnosis of the anatomical reason for snoring. The perception of snoring is highly subjective; therefore, there is a need for an objective measurement of snoring for an accurate patient assessment and the evaluation of treatmen...

This paper present a study of signal processing in Blind Source Separation (BSS) application for medical field, especially during medical data recording. There are two main techniques that will be investigated; Natural Gradient Method (NGM) and Self-Organized Neural Network (SONN). The main source signals are Electrocardiograph (ECG), and Electroencephalograph (EEG) that linearly mixed with noi...

Huntington's disease (HD) is a congenital, progressive, neurodegenerative disorder characterized by cognitive, motor, and psychological disorders. Clinical diagnosis of HD relies on the manifestation of movement abnormalities. In this study, we introduce a mathematical method for HD detection using step spacing. We used 16 walking signals as control and 20 walking signals as HD. We took a s...

The objective of this study is development of driver’s sleepiness using Visually Evoked Potentials (VEP). VEP computed from EEG signals from the visual cortex. We use the Steady State VEPs (SSVEPs) that are one of the most important EEG signals used in human computer interface systems. SSVEP is a response to visual stimuli presented. We present a classification method to discriminate between...