Introduction to Telecommunications and Signal Processing

What you'll learn
Learn the exact generic meaning of modulation and why we must have it in most telecom systems
Understand most common transmission techniques in analog communication systems (AM, FM, PM, SSD, VSB)
Apply analog-to-digital (ADC) conversion and digital-to-analog (DAC) conversion
Apply the fundamental steps in signal transmission
Apply the fundamental steps in signal transmission
Use signal processing techniques to recover source data at the receiver
Implement modulation techniques and FIR filters in MATLAB
Analyze communication systems and their components.
Requirements
No Requirements
Description
This course aims to familiarize students with the building main blocks of telecommunication systems including both transmitter and receiver sides. Students will learn to use signal processing techniques such as Fourier series analysis, and Fourier transforms in data transmission. They will also develop skills to optimize modern communication systems to performance metrics such as reliability (bit error rate), spectral efficiency (data rate), power efficiency, etc.
This course covers the basics of communication theory including signal analysis and transmission, amplitude modulation (AM), quadrature amplitude modulation (QAM), frequency modulation (FM), phase modulatıon (PM), phase-locked loops, sampling, quantization, pulse transmission, digital data transmission, and recent digital communication technologies.
More specifically, the content of the course includes the following
Introduction to communication systems and their IoT applications.
Review of signals and systems: signal types, energy relations.
Fourier transform and Hilbert transform transmission of signals through linear systems.
Filters, and bandpass systems for Filter Design.
Amplitude modulation and DSB-SC modulation
Single side modulation (SSB) modulation
Vestigale side modulation (VSB) modulation
Frequency-division multiplexing (FDM),
phase-locked loops (PLLs),
quadrature amplitude modulation (QAM),
Angle modulation: frequency modulation
Angle modulation: phase modulation
Review of probability and random processes: WSS processes, autocorrelation function, power spectral density sampling process, and aliasing.
Scalar quantization, vector quantization, and encoding.
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Particularly, the covered topics in the course are listed as follows
Introduction to Communication systems: Motivation, overview, and background
Introduction to old and modern communication systems: from telegraph to massive and critical IoT (Part-1)
59:55
Communication Systems Overview - information representation in analog and digital formats (Part-2)
1:05:24
Signal and Systems (Part-1)
Continuation of Fourier series analysis of periodic signals. Why and How to do it?
54:13
Signal and systems review: introduction to communication principles
28:16
Signals and systems overview for an introduction to communication principles
49:14
Signal and System (Part-2)
Fourier transforms concepts and properties with detailed examples
41:08
Applications of Fourier transform: Analog modulation and filtering
29:55
Signal and systems overview: Fourier transform of finite energy signals
26:18
Signal Energy and Energy Spectral Density
Analog Vestigial Sideband Modulation (VSB) (Part-1)
35:16
Analog Quadrature Amplitude Modulation (QAM) (Part-2)
23:06
Envelope detection in amplitude modulation (AM) and single sideband (SSB) modulation and detection
50:23
Types of modulators: multiplier, non-linear, switching, ring, etc. + carrier phase synchronization
16:55
Energy/Power Spectral Density and its relation with auto-correlation + Analog amplitude modulation
52:25
Angle Modulation
Angle modulation, including frequency and phase modulation and the relationship between them (Part-1)
36:04
Angle Modulation: Narrowband Frequency Modulation (NBFM) vs. Wideband Frequency Modulation (WBFM) (Part-2)
50:00
Analog to Digital Conversion (ADC)
Analog to Digital Conversion (ADC): Sampling, Quantization, and Encoding Processes
1:13:07
Error-Correcting Codes
Session 1: Simple introduction to error control coding (channel coding)
00:50:24
Session 2: Simple introduction to error control coding (channel coding)
01:37:22
Modeling of Basic Communication Systems
Modeling of Basic Communication Systems over Wireless Fading Channels Using Matlab
We are very excited to have you with us on this journey and look forward to seeing you enroll in this unique and interesting course.
For exploring related training given by the instructor, you may search for "Researcherstore" on Google or Bing.
======== About the Insturctor =
Jehad M. HAMAMREH is the Founder and Director of WISLABi/com, Editor at Researcherstore/com & RS-OJICT journal, as well as A. Professor with Electrical and Computer Engineering Department, Antalya International (Bilim) University. He earned his Ph.D. degree in Telecommunication Engineering and Cyber-Systems from Medipol University. Previously, he worked as a Researcher at the Department of Electrical and Computer Engineering at Texas A&M University. He is the inventor of more than 20 Patents and has authored more than 90 peer-reviewed scientific papers along with several book chapters. His innovative patented works won the gold, silver, and bronze medals in numerous international invention contests and fairs.
His current research interests include Wireless Communication, Wireless Security, Wireless Sensing, O-RAN, 5G/6G, IoT, AI/ML, wireless physical and MAC layers security, orthogonal frequency-division multiplexing (OFDM), multiple-input multiple-output systems (MIMO), advanced waveforms design, multidimensional modulation techniques, and orthogonal/non-orthogonal multiple access schemes for future wireless systems. He is a regular investigator and a referee for various scientific journals as well as a TPC member for several international conferences.
Key Research Topics: Wireless Communication, Wireless Security, Wireless Sensing, Open RAN, IoT, ML, AI.

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Introduction to Telecommunications and Signal Processing Fast Download
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