Problem-based Learning in communication systems using MATLAB and simulink
By: Choi, Kwonhue
Title By: Liu, Huaping
Material type: BookSeries: Publisher: Hoboken, New Jesrsey : John Wiley & Sons, Inc., c2016.Description: xxvii, 366 p. : ill. ; 25 cm.ISBN: 9781119060345Subject(s): Wireless communication systems | Orthogonal frequency division multiplexing | MATLAB | SIMULINK | TECHNOLOGY & ENGINEERING / MechanicalDDC classification: . Online resources: Location MapItem type | Home library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
REGULAR | University of Wollongong in Dubai Main Collection | 621.382 CH PR (Browse shelf) | Available | T0054105 |
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.
Designed to help teach and understand communication systems using a classroom-tested, active learning approach. Discusses communication concepts and algorithms, which are explained using simulation projects, accompanied by MATLAB and Simulink Provides step-by-step code exercises and instructions to implement execution sequences Includes a companion website that has MATLAB and Simulink model samples and templates