Table of content

Iraqi Journal for Electrical And Electronic Engineering

المجلة العراقية للهندسة الكهربائية والالكترونية

ISSN: 18145892
Publisher: Basrah University
Faculty: Engineering
Language: English

This journal is Open Access

About

Iraqi Journal for Electrical and Electronic Engineering ISSN 1814-5892 (Print), ISSN 2078-6069 (Online) is a peer-reviewed Journal that its objective is to discuss, through papers, new theoretical developments and techniques in the field of Electrical and Electronic Engineering and their application to real world problems. The journal is the official journal of the ministry of higher education in this field.

Loading...
Contact info

College of Engineering , Universtiy of Basrah , Basrah , Iraq
P.O.Box 801
Fax: 040410574
Telephone: 413828
E-mail: editor@ijeee.org

Table of content: 2008 volume:4 issue:1

Article
Semi-Empirical Models for the Variation of Soil Complex Permittivity with Depth
صيغتان شبه تجريبيتين لتغير السماحية المركبة للتربة مع العمق

Loading...
Loading...
Abstract

In this paper new semi-empirical formulas are developed to evaluate the variation of both real and imaginary parts of soil complex permittivity with depth inside the earth's surface. Computed values using these models show good agreement with published measured values for soils of the same textures and same frequency band. Use of these models may serve to handle more accurate results especially in the ground probing radar (GPR) applications and other applications relating the detection of buried objects inside the earth's surface, where the use of a single average value of the soil complex permittivity had not necessarily led, for most of the times, to accurate results for the electromagnetic fields propagated inside the earth's surfaceيقدم هذا البحث صيغتين شبه تجريبيتين جديدتين لتقييم التغيرات الحاصلة قي الجزئين الحقيقي والخيالي للسماحية المركبة للتربة مع العمق تحت سطح الأرض. اظهرت القيم المحسوبة بأستخدام هاتين الصيغتين التجريبيتين تطابقا جيدا مع تلك التي جرى قياسها ونشرها في الادبيات العلمية ذات العلاقة تحت الظروف نفسها من نوع التربة وتركيبها والنطاق الترددي الذي تم القياس خلاله. ان استخدام الصيغتين التجريبيتين المعروضتين في هذا البحث سوف يخدم في الحصول على نتائج اكثر دقة خصوصا فى تطبيقات رادرات سبر الأعماق وفى تطبيقات كشف الأجسام المدفونة تحت سطح الأرض حيث ان الأعتماد على قيمة متوسطة واحدة للسماحية المركبة للترية للآعماق المختلفة لايؤدي الى نتائج دقيقة في اغلب الحالات للمجالات الكهرومغناطيسية المنتشرة داخل سطح الأرض.

Keywords


Article
Partially Host-Adaptive Quantization Index Modulation Watermarking in a Baseband-Spread Transformation Domain

Authors: Ali E. Hameed
Pages: 33-43
Loading...
Loading...
Abstract

In order to reduce the impact of watermark embedding on the perceptual fidelity of the marked signal, watermarking systems process the generated watermark to match it to the local properties of the underlying host signal prior to embedding. However, this adaptation process could distort the watermark, affecting its robustness and information content. In this paper, a new watermark coding technique is proposed, that enables the application of some marknondistorting host-adaptation processing, where the intensity of the watermark could be redistributed according to the local properties of the underlying host without changing the way of interpreting the watermark to be embedded. This completely eliminates the need to equalize adaptation distortions prior to decoding, and hence, to pass any side information about the adaptation processing to the decoder, too.

Keywords


Article
teransient response of multiquantum well vertical cavity surface emitting lasers
الاستجابة العابرة لليزرات الانبعاث السطحي ذات الفجوة العمودية متعددة الابار الكمية

Authors: F.R.Tahir r --- R.S.Fyath
Pages: 64-76
Loading...
Loading...
Abstract

Keywords


Article
BRAIN MACHINE INTERFACE: ANALYSIS OF SEGMENTED EEG SIGNAL CLASSIFICATION USING SHORT-TIME PCA AND RECURRENT NEURAL NETWORKS

Loading...
Loading...
Abstract

Brain machine interface provides a communication channel between the human brain and an external device. Brain interfaces are studied to provide rehabilitation to patients with neurodegenerative diseases; such patients loose all communication pathways except for their sensory and cognitive functions. One of the possible rehabilitation methods for these patients is to provide a brain machine interface (BMI) for communication; the BMI uses the electrical activity of the brain detected by scalp EEG electrodes. Classification of EEG signals extracted during mental tasks is a technique for designing a BMI. In this paper a BMI design using five mental tasks from two subjects were studied, a combination of two tasks is studied per subject. An Elman recurrent neural network is proposed for classification of EEG signals. Two feature extraction algorithms using overlapped and non overlapped signal segments are analyzed. Principal component analysis is used for extracting features from the EEG signal segments. Classification performance of overlapping EEG signal segments is observed to be better in terms of average classification with a range of 78.5% to 100%, while the non overlapping EEG signal segments show better classification in terms of maximum classifications


Article
ECG SIGNAL RECOGNITION BASED ON WAVELET TRANSFORM USING NEURAL NETWORKS AND FUZZY SYSTEMS
تمييز الإشارات ألقلبيه باستخدام الشبكات ألعصبيه والانظمه المضببه وتحليل المویجه

Loading...
Loading...
Abstract

This work presents aneural and fuzzy based ECG signal recognition system based on wavelet transform. The suitable coefficients that can be used as a feature for each fuzzy network or neural network is found using a proposed best basis technique. Using the proposed best bases reduces the dimension of the input vector and hence reduces the complexity of the classifier. The fuzzy network and the neural network parameters are learned using back propagation algorithmيتناول هذا البحث تميز الإشارات القلبيه باستخدام آل من الشبكات العصبية والمنطق المضبب وباستخدام تحليل المويجه. يتم الحصول على الخصائص المناسبة لأغراض التمييز باستخدام نظام مقترح وهو نظام استخلاص أفضل الخصائص. أن استخدام هذه التقنية يؤدي إلى تقليل أبعاد متجه الإدخال مما يؤدي إلى تقليل تعقيدات منظومة التصنيف. تمت عملية تعليم ألشبكه العصبية والشبكة المضببه باستعمال الانسياب العكسي

Table of content: volume:4 issue:1