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Article
A Modified JadeR for Signal Separation under Gaussian Noise

Author: Muna H. Fatnan
Journal: Journal of Kufa for Mathematics and Computer مجلة الكوفة للرياضيات والحاسوب ISSN: 11712076 Year: 2019 Volume: 5 Issue: 3 Pages: 27-31
Publisher: University of Kufa جامعة الكوفة

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Abstract

A Modified version of Joint Approximation Diagonalization Estimation of Real Signals algorithm (JADER) is proposed to enhance efficiency and speed of Blind Signal Separation (BSS). MJADER based on the mixture's dimensions minimization step, where the cumulant matrices have been estimated using a reduced-dimension observed mixture. The approach (M-JADER) is based on a threshold step, it is easy to implement, computationally efficient and faster than standard JADER about 50% where it has less running time. The comparison done under tow types of niose(semi-white Gaussian noise and Uniform noise).


Article
A study the effect of trigger circuit on flash lamp life
إلغاء التداخل الأعمى للأنظمة متعددة المداخل متعددة المخارج اللاسلكية بالاعتماد على خوارزمية التحليل المستقل للعناصر

Authors: Wafaa Mohammed R --- Shakir AL-Dahan
Journal: journal of kerbala university مجلة جامعة كربلاء ISSN: 18130410 Year: 2013 Volume: 11 Issue: 3 Pages: 173-183
Publisher: Kerbala University جامعة كربلاء

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Abstract

In this paper, a new method for blind interference cancellation of Multiple Input Multiple Output (MIMO) wireless communication systems based on Independent Component Analysis (ICA) is proposed. A proposed ICA algorithm exploits the Higher Order Statistical (HOS) of the observation signals for blindly interference cancellation and signals estimation processes is presented. In contrast to other methods, the proposed method does not require any modification in transmission side or using the training sequences that usually costs a bandwidth. Simulation results show the ability of the proposed algorithm to cancel the interference effects of the multipath fading channel comparing with other ICA algorithms and conventional method.

في هذا البحث يتم تقديم طريقة جديدة لإلغاء تداخل الإشارات اللاسلكية للأنظمة متعددة المداخل متعددة المخارج اللاسلكية بالاعتماد على خوارزمية التحليل المستقل للعناصر بصورة عمياء. يتم استخدام خوارزمية مقترحة للتحليل المستقل للعناصر تعتمد على البناء الإحصائي لمصادر الإشارات المرسلة لغرض تخمين وإلغاء تأثير التداخل الناتج من قناة الانتشار اللاسلكية متعددة المسارات على الإشارة المستلمة. تتميز الطريقة المقترحة بأنها لا تتطلب أي تعديل لجهاز الإرسال أو إرسال إشارات التدريب التي تقلل من عرض النطاق الترددي. وتوضح نتائج المحاكاة فوائد الخوارزمية المقترحة مقارنة مع أساليب تقليدية أخرى ومقارنة مع خوارزميات التحليل المستقل للعناصر الأخرى.


Article
A Proposed Voice Encryption System Based on off-Line Ica Algorithm

Authors: Nidaa A. Abbas --- Sattar B. Sadkhan
Journal: Journal of University of Babylon مجلة جامعة بابل ISSN: 19920652 23128135 Year: 2014 Volume: 22 Issue: 7 Pages: 1917-1923
Publisher: Babylon University جامعة بابل

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Abstract

The voice encryption plays a great role in many important communication systems, such as military communication systems, a bank communication system. This paper proposes the possibility of application of analog voice encryption using adaptive signal processing technique called the Independent Component Analysis (ICA) technique. Practically the devoice encryption process is implemented using the JADE algorithm that can be considered as an Off-Line mode of ICA technique, and taking into consideration the testability of many input speech signals in Arabic and English. The objective test using LPC and SNR is applied to evaluate the proposed System.

يلعب التشفير الصوتي دورا كبيرا في العديد من أنظمة الاتصالات الهامة، مثل أنظمة الاتصالات العسكرية، ونظام الاتصالات البنوك. يقدم هذا البحث نظاما مقترحا لتطبيق تشفير الصوت بتقنيات معالجة الإشارات المتكيفة وهو ما يسمى تحليل العناصر المستقلة (ICA). وقد تم عمليا تنفيذ عملية التشفير باستخدام خوارزمية JADE التي يمكن أن تعتبر خوارزمية دفعات ، ومع الأخذ في الاعتبار قابلية الاختبار من العديد من إشارات الكلام المدخلات باللغتين العربية والإنجليزية.وقيم النظام بأستخدام معايير LPC وSNR


Article
Independent Component Analysis for Separation of Speech Mixtures: A Comparison Among Thirty Algorithms

Author: Ali Al-Saegh
Journal: Iraqi Journal for Electrical And Electronic Engineering المجلة العراقية للهندسة الكهربائية والالكترونية ISSN: 18145892 Year: 2015 Volume: 11 Issue: 1 Pages: 1-9
Publisher: Basrah University جامعة البصرة

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Abstract

Vast number of researches deliberated the separation of speech mixtures due to the importance of this fieldof research. Whereas its applications became widely used in our daily life; such as mobile conversation, videoconferences, and other distant communications. These sorts of applications may suffer from what is well known thecocktail party problem. Independent component analysis (ICA) has been extensively used to overcome this problem andmany ICA algorithms based on different techniques have been developed in this context. Still coming up with somesuitable algorithms to separate speech mixed signals into their original ones is of great importance. Hence, this paperutilizes thirty ICA algorithms for estimating the original speech signals from mixed ones, the estimation process iscarried out with the purpose of testing the robustness of the algorithms once against a different number of mixed signalsand another against different lengths of mixed signals. Three criteria namely Spearman correlation coefficient, signalto interference ratio, and computational demand have been used for comparing the obtained results. The results of thecomparison were sufficient to signify some algorithms which are appropriate for the separation of speech mixtures.


Article
Comparison of Complex-Valued Independent Component Analysis Algorithms for EEG Data

Author: Ali Al-Saegh
Journal: Iraqi Journal for Electrical And Electronic Engineering المجلة العراقية للهندسة الكهربائية والالكترونية ISSN: 18145892 Year: 2019 Volume: 15 Issue: 1 Pages: 1-12
Publisher: Basrah University جامعة البصرة

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Abstract

Independent Component Analysis (ICA) has been successfully applied to a variety of problems, fromspeaker identification and image processing to functional magnetic resonance imaging (fMRI) of the brain. Inparticular, it has been applied to analyze EEG data in order to estimate the sources form the measurements.However, it soon became clear that for EEG signals the solutions found by ICA often depends on the particular ICAalgorithm, and that the solutions may not always have a physiologically plausible interpretation. Therefore, nowadaysmany researchers are using ICA largely for artifact detection and removal from EEG, but not for the actual analysis ofsignals from cortical sources. However, a recent modification of an ICA algorithm has been applied successfully toEEG signals from the resting state. The key idea was to perform a particular preprocessing and then apply a complexvaluedICA algorithm.In this paper, we consider multiple complex-valued ICA algorithms and compare their performance on real-worldresting state EEG data. Such a comparison is problematic because the way of mixing the original sources (the “groundtruth”) is not known. We address this by developing proper measures to compare the results from multiple algorithms.The comparisons consider the ability of an algorithm to find interesting independent sources, i.e. those related to brainactivity and not to artifact activity. The performance of locating a dipole for each separated independent component isconsidered in the comparison as well.Our results suggest that when using complex-valued ICA algorithms on preprocessed signals the resting state EEGactivity can be analyzed in terms of physiological properties. This reestablishes the suitability of ICA for EEG analysisbeyond the detection and removal of artifacts with real-valued ICA applied to the signals in the time-domain.


Article
Enhancement of Twins Fetal ECG Signal Extraction Based on Hybrid Blind Extraction Techniques

Authors: Ahmed Kareem Abdullah --- Hadi Adab Hamad --- Nasser Ali Hasson AL-Zubaydi
Journal: Journal of University of Babylon مجلة جامعة بابل ISSN: 19920652 23128135 Year: 2017 Volume: 25 Issue: 4 Pages: 1127-113
Publisher: Babylon University جامعة بابل

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Abstract

ECG machines are noninvasive system used to measure the heartbeat signal. It’s very important to monitor the fetus ECG signals during pregnancy to check the heat activity and to detect any problem early before born, therefore the monitoring of ECG signals have clinical significance and importance. For multi-fetal pregnancy case the classical filtering algorithms are not sufficient to separate the ECG signals between mother and fetal. In this paper the mixture consists of mixing from three ECG signals, the first signal is the mother ECG (M-ECG) signal, second signal the Fetal-1 ECG (F1-ECG), and third signal is the Fetal-2 ECG (F2-ECG), these signals are extracted based on modified blind source extraction (BSE) techniques. The proposed work based on hybridization between two BSE techniques to ensure that the extracted signals separated well. The results demonstrate that the proposed work very efficiently to extract the useful ECG signals.

جهاز تخطيط القلب هو جهاز غير جراحي يستخدم لقياس الاشارات الناتجه من القلب من الضروري مراقبة قلب الاجنه التوائم خلال عملية الحمل لتشخيص كفائة القلب والكشف المبكر عن اي مشكله قبل الولاده, في حالات الحمل المتعدد تقنيه استخدام الفلاتر غير كافيه في فصل اشارات قلب الاجنه عن اشرات قلب الام , في هذا البحث مزيج اشاره القلب المتكون من ثلاث اشارات ناتجه من الجنين الاول والجنين الثاني وقلب الام استخلصت عن طريق تقنيه الفصل العمياء المعدله. حيث ان هذه التقنية تعتمد على خوارزميتن دمجت سويه للحصول على افصل عمليه فصل بين الاشارات . بينت النتائج ان العمل المقترح هو جيد وكفؤء في استخلاص اشارات القلب .


Article
AComprehensive Review on Various Estimation Techniques for Multi Input Multi Output Channel

Authors: Awwab Qasim Jumaah Althahab --- Sameer Abdul Kadhim Alrufaiaat
Journal: Journal of University of Babylon مجلة جامعة بابل ISSN: 19920652 23128135 Year: 2019 Volume: 27 Issue: 1 Pages: 262-274
Publisher: Babylon University جامعة بابل

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Abstract

The problem of wireless channel estimation has been evolving due to some undesirable effects of channel physical properties on transmitted signals. At the receiver end, distortions, delays, attenuations, interferences, and phase shifts are the most issues encounter together with the received signals. In order to overcome channel effects and provide almost a perfect quality of data transmission, channel parameter estimation is needed. In Multiple Input-Multiple Output systems (MIMO), channel estimation is a more complicated step as compared with the Single Input-Single Output systems, SISO, because of the fact that the number of sub-channels that needs estimate is much greater than SISO systems. The fundamental objective of this research paper is to go over the famous and efficient algorithms that have been innovated to solve the problem of MIMO channel estimation in wireless communication systems. In this paper, these techniques have been classified into three groups: non-blind, semi-blind and blind estimation. For each group, a brief illustration is presented for familiar estimation algorithms. Finally, we compare between these techniques based on computational complexity, latency and estimation accuracy.

لقد تطورت مشكلة تقدير القناة اللاسلكية بسبب بعض التأثيرات غير المرغوب فيها للخواص الفيزيائية للقناة على الإشارات المرسلة. في نهاية المستقبل، التشوه، والتأخير، والتوهين، والتداخلات، ونوبات الطور هي أكثر المشكلات التي تواجهها مع الإشارات المستقبلة. من أجل التغلب على تأثيرات القناة وتوفير جودة كاملة تقريبًا لنقل البيانات، يلزم تقدير معلومات القناة. في أنظمة المخرجات متعددة المدخلات والمخرجات (MIMO)، يعتبر تقدير القناة خطوة أكثر تعقيدًا مقارنة بأنظمة المخرجات ذات المدخلات المفردة، SISO، نظرًا لأن عدد القنوات الفرعية التي تحتاج إلى تقدير أكبر بكثير من انظمةSISO. الهدف الأساسي من هذه الورقة البحثية هو مراجعة شاملة لاغلب الخوارزميات الشهيرة والفعالة التي تم ابتكارها لحل مشكلة تقدير قناة MIMO في أنظمة الاتصالات اللاسلكية. في هذه الورقة، تم تصنيف هذه التقنيات إلى ثلاث مجموعات: غير المكفوفين، شبه الأعمى وتقدير أعمى. لكل مجموعة، يتم تقديم توضيح مختصر لخوارزميات التقدير المألوفة. وأخيرًا، نقارن بين هذه التقنيات استنادًا إلى التعقيد الحسابي والكمون ودقة التقدير.

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