digital signal processing
Learning Object Repository
Learning Object Repository
Learning Objectives
The objective is to be conversant with discrete mathematics and use discrete mathematics to analyze discrete-time signals and systems.
After successful completion of the module, the learner should be able to
LO-1: solve and asses Linear Time Invariant (LTI) discrete-time systems in time domain and using Z-transformation.
LO-2: arrange and interpret LTI discrete-time systems using block diagrams or signal flow graphs.
LO-3: use Fourier concepts to analyze periodic and aperiodic discrete-time signals in frequency domain.
LO-4: modify and compute the DFT of a finite-duration discrete-time sequence using an FFT algorithm that yields less computational complexity.
LO-5: design and analyse digital filters accordingly for different design requirement in discrete-time signal processing.
Recommended Books
Digital Signal Processing by Alan V. Oppenheim
Prentice Hall international editions
Authors
Alan V. Oppenheim, Ronald W. Schafer
Publisher Prentice-Hall, 1975
ISBN 9380618387, 9789380618388
Length 585 pages
Digital Signal Processing by John G. Proakis; Dimitris G
This book presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer engineering, and computer science.The book is suitable for either a one-semester or a two-semester undergraduate level course in discrete systems and digital signal processing.
About me
Dr. B. I. Anuradha Mendis is a Researcher in Faculty of Engineering and Science, University of Agder. He received the B.Sc. Engineering (First Class Honors) degree from University of Ruhuna, Sri Lanka, in 2008, and the M.Sc. and the Ph.D. degrees in Information and Communication Technology (ICT) from University of Agder (UiA), Norway in 2012 and 2016, respectively. His Master thesis was awarded as the Best Master’s thesis in ICT at UiA in 2012. From March 2017 to March 2020, he served as a Post-Doctoral Research Fellow at the Department of ICT, UiA. Much of his work has been on improving the understanding, design and performance of spectrum allocation and reliability aspects of wireless systems, mainly through the application of stochastic process modeling, statistics and performance evaluation.
He spent one year as an engineer at Huawei technologies, Sri Lanka, from Oct. 2008 to Aug. 2009 and he worked as a lecturer at the Department of Electrical and Information Engineering, University of Ruhuna from Aug. 2009 to Aug. 2010. Moreover, he has served as a Session Chair for IEEE ICC conferences, and on the TPC of several international conferences. Dr. Anuradha’s current research interest covers various areas of mobile and wireless communications, including cognitive radio networks, ultra-reliable communication, massive MTC, Internet of Things, modeling and performance analysis of modern communications systems and networks.
Resources
Convolution theory and example
Resources
Fourier Transform, Fourier Series, and frequency spectrum
A Simple Introduction to Digital Signal Processing A Beginner's Guide to Digital Signal Processing (DSP)
Digital Signal Processing Tutorial
Digital Signal Processing 1: Basic Concepts and Algorithms
A Beginner's Guide to Digital Signal Processing (DSP)
Digital Signal Processing (online)
Signal Processing Techniques and its Applications
Digital Signal Processing (ECSE-4530) Lectures, Fall 2014