”Continuous-Time Signals and Systems: A MATLAB Integrated Approach” represents a novel and comprehensive approach to understanding signals and systems theory. Manytools use MATLAB as a computational tool, but Alkin’s text employs MAT-LAB both computationally and pedagogically to provide interactive, visual re-inforcement of fundamental concepts important in the study of continuous-timesignals and systems."Discrete-Time Signals and Systems: A MATLAB Integrated Approach” represents a novel and comprehensive approach to understanding signals and systems theory. Many toolsuse MATLAB as a computational tool, but Alkin’s text employs MATLAB bothcomputationally and pedagogically to provide interactive, visual reinforcementof fundamental concepts important in the study of discrete-time signals andsystems.
Oktay Alkin, Professor Emeritus Southern Illinois University - Edwardsville
Continuous-Time Signals and Systems: A MATLAB-Integrated Approach. 1. Signal Representation and Modeling. 2. Analyzing Continuous-Tiome Systems in the Time Domain. 3. Fourier Analysis for Continuous-Time Signals and Systems. 4. Laplace Trans.for Continuous-Time Signals and Systems. State-Space Analysis of Continuous-Time Systems. 6. Analysis and Design of Continuous-Time Filters. 7. Communications Application: Amplitude Modulation. Problems. MATLAB Problems, MATLAB Projects. Appendices. Index. Discrete-Time Signals and Systems: A MATLAB-Integrated Approach. 1. Signal Representation and Modeling. 2. Analyzing Discrete-Time Systems in the Time-Domain. 3. Fourier Analysis for Discrete-Time Signals and Systems. 4. Sampling and Reconstruction. 5. z-Transform for Discrete-Time Signals and Systems. 6. State-Space Analysis of Discrete-Time Systems. 7. Analysis and Design of Discrete-Time Filters. Problems. MATLAB Problems. MATLAB Projects. Index.