Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications

• Κύριος συγγραφέας: Thyagarajan, K.S (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Signal processing.; Image processing.; Speech processing systems.; Electrical engineering.; Computer communication systems.; Computers.; Signal, Image and Speech Processing.; Communications Engineering, Networks.; Computer Communication Networks.; Information Systems and Communication Service.

 This textbook provides engineering students with instruction on processing signals encountered in speech, music, and wireless communications using software or hardware by employing basic mathematical methods. The book starts with an overview of signal processing, introducing readers to the field. It goes on to give instruction in converting continuous time signals into digital signals and discusses various methods to process the digital signals, such as filtering. The author uses MATLAB throughout as a user-friendly software tool to perform various digital signal processing algorithms and to simulate real-time systems. Readers learn how to convert analog signals into digital signals; how to process these signals using software or hardware; and how to write algorithms to perform useful operations on the acquired signals such as filtering, detecting digitally modulated signals, correcting channel distortions, etc. Students are also shown how to convert MATLAB codes into firmware codes. Further, students will be able to apply the basic digital signal processing techniques in their workplace. The book is based on the author's popular online course at University of California, San Diego. Based on the author's popular online courses in signal processing at UC San Diego Presents an overview of signal processing, followed by easy to follow instructions without a myriad of complex mathematical derivations Enhanced by the use of MATLAB and a variety of exercises case studies, giving students hands-on experience in designing and processing signals in the digital domain. 

 Introduction -- Discrete-Time Signals & Systems -- Z-Transform -- Frequency Domain Representation of Discrete-time Signals & Systems -- Discrete Fourier Transform -- IIR Digital Filters -- FIR Digital Filters -- Digital Filter Structures -- Fast Fourier Transform -- DSP in Communications -- Conclusion.