Problem-based learning in communication systems using MATLAB and simulink /
| Main Authors: | , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Hoboken, NJ :
IEEE Press,
[2016]
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| Series: | IEEE series on mobile & digital communication.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Matlab and Simulink Basics
- Numerical Integration and Orthogonal Expansion
- Fourier Series and Frequency Transfer Function
- Fourier Transform
- Convolution
- Low Pass Filter and Band Pass Filter Design
- Sampling and Reconstruction
- Correlation and Spectral Density
- Amplitude Modulation
- Quadrature Multiplexing and Frequency Division Multiplexing
- Hilbert Transform, Analytic Signal, and SSB Modulation
- Voltage-Controlled Oscillator and Frequency Modulation
- Phase-Locked Loop and Synchronization
- Probability and Random Variables
- Random Signals
- Maximum Likelihood Detection for Binary Transmission
- Signal Vector Space and Maximum Likelihood Detection I
- Signal Vector Space and Maximum Likelihood Detection II
- Correlator-Based Maximum Likelihood Detection
- Pulse Shaping and Matched Filter
- Ber Simulation at the Waveform Level
- QPSK and Offset QPSK in Simulink
- Quadrature Amplitude Modulation in Simulink
- Convolutional Code
- Fading, Diversity, and Combining
- Orthogonal Frequency Division Multiplexing in AWGN Channels
- Orthogonal Frequency Division Multiplexing Over Multipath Fading Channels
- Mimo System Part I: Space Time Code
- Mimo System Part II: Spatial Multiplexing
- Near-Ultrasonic Wireless Orthogonal Frequency Division MULTIPLEXING MODEM DESIGN.