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Vol 1
Continuous-Time Signals and Systems: A MATLAB Integrated Approach represents a novel and comprehensive approach to understanding signals and systems theory. Many tools use MATLAB as a computational tool, but Alkin's text employs MATLAB both computationally and pedagogically to provide interactive, visual reinforcement of fundamental concepts important in the study of continuous-time signals and systems.
Vol 2
Discrete-Time Signals and Systems: A MATLAB Integrated Approach" represents a novel and comprehensive approach to understanding signals and systems theory. Many tools use MATLAB as a computational tool, but Alkin's text employs MATLAB both computationally and pedagogically to provide interactive, visual reinforcement of fundamental concepts important in the study of discrete-time signals and systems.
Key Features:
Features 'Application Examples', which are longer, detailed exercises that illustrate practical applications of signal processing theory, making learning engaging. Includes enhanced MATLAB exercises with MATLAB-based case studies with detailed explanations to help develop relevant MATLAB skills. Contains concise and comprehensive coverage with meticuluously designed illustrations in color to help students' understanding of key concepts.
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Vol 1
Continuous-Time Signals and Systems: A MATLAB Integrated Approach represents a novel and comprehensive approach to understanding signals and systems theory. Many tools use MATLAB as a computational tool, but Alkin's text employs MATLAB both computationally and pedagogically to provide interactive, visual reinforcement of fundamental concepts important in the study of continuous-time signals and systems.
Vol 2
Discrete-Time Signals and Systems: A MATLAB Integrated Approach" represents a novel and comprehensive approach to understanding signals and systems theory. Many tools use MATLAB as a computational tool, but Alkin's text employs MATLAB both computationally and pedagogically to provide interactive, visual reinforcement of fundamental concepts important in the study of discrete-time signals and systems.
Key Features:
Features 'Application Examples', which are longer, detailed exercises that illustrate practical applications of signal processing theory, making learning engaging. Includes enhanced MATLAB exercises with MATLAB-based case studies with detailed explanations to help develop relevant MATLAB skills. Contains concise and comprehensive coverage with meticuluously designed illustrations in color to help students' understanding of key concepts.