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Eğitim İçeriği
## Course Outline Breakdown: Digital Communication Systems Simulation
This is a detailed breakdown of the course outline, categorized for clarity. It appears to be a comprehensive course on simulating digital communication systems, progressing from fundamentals to advanced topics and optimization.
**I. Foundational Concepts (Likely Level 1 - Not explicitly stated, but implied)**
* **Signal Processing Fundamentals:** (Implied, as a prerequisite for simulation)
* **Digital Modulation Techniques:** (Implied, as a basis for simulation)
* **Channel Modeling:** (Implied, understanding noise and fading is crucial)
* **Error Correction Coding Basics:** (Implied, for performance evaluation)
**II. Level 2: Core Simulation Techniques & Channel Modeling**
* **Simulation of Basic Communication Systems:** Focus on building and testing simple systems.
* **Random Number Generation:** Essential for simulating noise and random processes.
* **Statistical Analysis of Simulation Results:** Interpreting data and drawing conclusions.
* **Channel Modeling:**
* AWGN (Additive White Gaussian Noise)
* Rayleigh Fading
* Rician Fading
* Multipath Propagation
* **Digital Modulation Schemes Simulation:** QPSK, QAM, etc.
* **Equalization Techniques:** Zero-forcing, MMSE.
* **Diversity Techniques:** Simulation of spatial, frequency, and time diversity.
**III. Level 3: Advanced Modulation, Spread Spectrum, and OFDM**
* **Spread Spectrum Systems:**
* Direct Sequence (DS-SS)
* Pseudo-Random Binary Sequence (PRBS) Generation (Maximal Length Sequences, Gold Codes, Walsh Codes)
* Time Hopping (TH-SS)
* Performance analysis in AWGN and fading channels.
* Multi-user interference analysis.
* Optical CDMA (OCDMA) systems and orthogonal codes.
* Ultra-Wideband (UWB) SS systems.
* **OFDM (Orthogonal Frequency Division Multiplexing) Systems:**
* Implementation using FFT (Fast Fourier Transform).
* Impact of coding rate, cyclic prefix, FFT size, and subcarrier spacing on BER.
* Channel Estimation techniques.
* Frequency Domain Equalization (Zero Forcing, MMSE).
* Performance analysis in fading channels with and without CFO (Carrier Frequency Offset).
* MIMO-OFDM Systems.
* **RGB Image Transmission over Spread Spectrum Systems**
**IV. Level 4: Optimization, GUI, and Project Development**
* **Optimization of Simulation Projects:**
* Project Structure
* Mapping theoretical parameters to simulation.
* Monte Carlo Simulation Technique.
* Testing procedures.
* Memory Space Reduction Techniques:
* Baseband vs. Passband Simulation
* Pulse width calculation
* Samples per symbol calculation
* Necessary and Sufficient Number of Bits to Test a System
* **GUI (Graphical User Interface) Programming:**
* GUI structure and function files.
* Key GUI components and properties.
* Local and global variables.
* **Simulation Project Development:** Emphasis on building and testing complete systems.
* **Research Paper Integration:** The course incorporates analysis of and potentially implementation of concepts from research papers.
**Key Themes & Skills Developed:**
* **Modeling & Simulation:** Creating accurate representations of communication systems in software.
* **Statistical Analysis:** Interpreting simulation results and drawing meaningful conclusions.
* **Coding & Programming:** Implementing simulation algorithms in a suitable language (likely MATLAB or similar).
* **System-Level Design:** Understanding the interactions between different components of a communication system.
* **Performance Evaluation:** Assessing the performance of communication systems under various conditions.
* **Optimization:** Improving the efficiency and performance of simulation projects.
* **GUI Development:** Creating user-friendly interfaces for simulation tools.
* **Research Integration:** Applying and extending concepts from academic research.
**Overall, this is a highly practical and comprehensive course designed to equip students with the skills needed to design, simulate, and analyze modern digital communication systems.** The progression from basic concepts to advanced topics and optimization techniques makes it suitable for both undergraduate and graduate students, as well as practicing engineers.
Kurs İçin Gerekli Önbilgiler
Bu kursta yer alan geniş bilgi birikimini edinmek için, katılımcıların yaygın programlama dilleri ve teknikleri konusunda genel bir bilgi birikimine sahip olmaları gerekmektedir. Lisans düzeyindeki iletişim mühendisliği derslerine ilişkin derinlemesine bir anlayış şiddetle tavsiye edilir.
35 Saat
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Hands on building of the code from scratch.
Igor - Draka Comteq Fibre B.V.
Eğitim - Introduction to Image Processing using Matlab
Trainer took the initiative to cover additional content outside our course materials to improve our learning.