Signal Processing Techniques for Communication - Raveendranathan, K. C.
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Présentation Signal Processing Techniques For Communication de Raveendranathan, K. C. Format Relié
- Livre Sciences de la vie et de la terre
Résumé : 1. Introduction to Signals, Systems, and Processing. 2. System Simulation Tools. 3. Signal Processing in Frequency Domain. 4. Introduction to Communication Systems. 5. Design of Analog Filters Using MATLAB. 6. Design of Digital Filters. 7. Introduction to Modern Communication Systems. 8. Signal Processing in Wireless Communication. 9. Advanced Communication Systems. 10. Machine Learning for Communication Systems.
Biographie: K C Raveendranathan holds a Bachelor's degree in Electronics and Communication Engineering (University of Kerala, 1984), Masters in Electrical Communication Engineering (IISc Bangalore, 1993), and Doctorate in Wireless Communication (University of Kerala, 2011). He had over 30 years of teaching experience and 5 years industrial experience. He has over 30 publications to his credit including 5 books, book chapters, and several peer-reviewed journals published in national/international journals and conference proceedings. He started his profession as a design engineer in the Broadcast Transmitters R&D of Bharat Electronics Limited, Bangalore in 1985. He later joined as a faculty member in College of Engineering Trivandrum, in the department of Electronics and Communication Engineering in June 1988. After meritorious service as faculty member in various government engineering colleges in the state of Kerala, he retired as Principal from College of Engineering Trivandrum in March 2018. He further worked as Principal in Rajadhani Institute of Engineering and Technology Trivandrum till November 2020. He is a senior member of the IEEE, a life fellow of the IETE and IE (I), a Chartered Engineer of IE (I), senior member of CSI, and a life member of the ISTE. He is an active volunteer of the IETE, IE (I), and the IEEE.
Sommaire:
The reference text discusses signal processing tools and techniques used for the design, testing, and deployment of communication systems. It further explores software simulation and modeling tools like MATLAB, GNU Octave, Mathematica, and Python....
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