Adaptive FIR filter for frequency estimation of sinusoids using random search algorithms
Other Title(s)
مرشح (FIR) متكيف لتقدير تردد الموجات الجيبية باستخدام طرق بحث عشوائية
Dissertant
Thesis advisor
Comitee Members
Shaltaf, Sٍٍamir
alQudah, Yazan A.
al-Ghanim, Taysir
University
Princess Sumaya University for Technology
Faculty
King Abdullah II Faculty of Engineering
Department
Department of Electrical Engineering
University Country
Jordan
Degree
Master
Degree Date
2014
English Abstract
In a wireless network there are many signals that are broadcasted; classifying these signals has been of great interest in the past few decades.
The main purpose of this study is to estimate the various frequencies of each signal from the bundle of received signals.
The receiver monitors the broadcasted signals along with the interfering signals, thus it needs to identify the desired and undesired signals.
After estimating the frequencies of the undesired interfering signals, the system can then work on suppressing these signals and maintaining the strength of the desired signals.
The suggested new data model system fetches for the frequencies of the received signals.
The system contains an adaptive finite impulse response (FIR) filter which exploits one of several random search algorithms, which are the genetic algorithm and swarm intelligent algorithms such as particle swarm optimization (PSO) and ant colony optimization (ACO).
After estimating the frequencies a filter will be able to select the various frequency components out of a collection of signals and to suppress any interfering signals.
Main Subjects
Topics
No. of Pages
94
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature review.
Chapter Three : Proposed method.
Chapter Four : Analysis of the proposed method.
Chapter Five : Parameter setting and performance evaluation.
Chapter Six : Simulation and results.
Chapter Seven : Conclusion and future work.
References
American Psychological Association (APA)
al-Isa, Fadiyah Bashir Dawud. (2014). Adaptive FIR filter for frequency estimation of sinusoids using random search algorithms. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-535249
Modern Language Association (MLA)
al-Isa, Fadiyah Bashir Dawud. Adaptive FIR filter for frequency estimation of sinusoids using random search algorithms. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology. (2014).
https://search.emarefa.net/detail/BIM-535249
American Medical Association (AMA)
al-Isa, Fadiyah Bashir Dawud. (2014). Adaptive FIR filter for frequency estimation of sinusoids using random search algorithms. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-535249
Language
English
Data Type
Arab Theses
Record ID
BIM-535249
