Signals and Systems A MATLAB Integrated Approach

Auteur

Oktay Alkin was born in Istanbul, Turkey where he completed his early education, and obtained a bachelor's degree in electrical engineering from Istanbul Technical University. He has received his master's and doctorate degrees, also in electrical engineering, from the University of Alabama. In 1986 he has joined the faculty of Southern Illinois University Edwardsville (SIUE) where he has served at various levels for three decades. A total of 12 years of his career at SIUE were as department chair. During this period, he has contributed to the efforts in growing the department in terms of faculty size and enrollment, adding a computer engineering option to the existing electrical engineering department, developing the new curriculum, and preparing the new electrical and computer engineering department for accreditation. He has also served as the associate dean of SIUE School of Engineering for 3 years during which period he has been in charge of developing a joint doctoral program with the other campus of the SIU system, developing and coordinating recruitment efforts at the undergraduate level, and working with faculty on curricular and accreditation issues.

He has published numerous articles at scholarly journals and conferences. His research interests include multiresolution analysis and wavelet transform theory, orthogonal wavelet bases, image analysis and compression using the wavelet transform, biomedical applications of signal and image processing for radiation therapy, wireless sensor networks, target tracking in wireless sensor networks using the extended Kalman filter.

Texte du rabat

This fully revised textbook utilizes MATLAB software due to its popularity in the engineering community and its availability for a variety of operating systems.

Résumé

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:

• Includes GUI-based apps with mini-lecture video clips (3 to 6 minutes) for a hands-on learning experience, with other comprehensive learning resources including digital flashcards, PDF slides, homework problems, and solutions manuals to enrich the educational experience.
• 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.

Contenu

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.