Problem-based learning in communication systems using MATLAB and SIMULINK / Kwonhue Choi, Huaping Liu.

Includes bibliographical references and index.

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.