Processing Lecturers:- 1. Mr. Syed Khaleel Ahmed. 2. Dato' Prof. Emeritus Ir. Dr. Zainul Abidin Bin Md Sharrif http://metalab.uniten.edu.my/~zainul/
Processing Main references supporting the course [1] S. K. Mitra, Digital Signal Processing A Computer Based Approach, McGraw Hill International, 4th Edition, 2011.
Processing Additional references supporting the course Britanak, Yip, and Rao, Discrete Cosine and Sine Transforms, Academic Press Inc., 2007. Alan V. Oppenheim and Ronald W. Schafer, Discrete- Time Signal Processing, 3nd Edition, Pearson Prentice Hall, 2010. Proakis, Rader, Ling, and Nikias, Advanced Digital Signal Processing, Macmillan Publishing Co., 1992. Madisetti, Digital Signal Processors An Introduction to Rapid Prototyping and Design Synthesis, IEEE Press, 1995. Lapsley, Bier, Shoham, and Lee, DSP Processor Fundamentals Architectures and Features, IEEE
Processing Additional references supporting the course H. J. Nussbaumer, Fast Fourier Transform and Convolution Algorithms, Springer-Verlag, 1982. E. O. Brigham, The Fast Fourier Transform and Its Applications, Prentice-Hall Inc., 1988 R. Kuc, Introduction to Digital Signal Processing, McGraw Hill 1988. J. G. Proakis and D.G. Manolakis, Introduction to Digital Signal Processing, McMillan 1992. S. M. Kay, Modern Spectral Estimation, PHI 1988. L. Cohen, Time frequency analysis, Prentice Hall, 1995. Haykins, Adaptive Filter theory, Prentice Hall, 1986.
Processing (Six (6) Program Aims) Ensure that graduates possess advanced knowledge and skills in communication system engineering; Equip graduates with advanced theoretical principles and scientific methods to create feasible and effective solutions to encounter problems and to evaluate the solutions; Train graduates to work on a project in which they propose, analyze, design, build, test, validate, verify, and deliver the results to meet appropriate communication protocol standards within a set of realistic given constraints;
Processing (Six (6) Program Aims) Instill graduates with skills for seeking knowledge independently through lifelong learning; Develop effective communication skills in both written and oral form for each graduate; Instill graduates with professional and ethical responsibilities as well as in understanding the various possible social, economic, cultural, legal, and environmental impacts of their electronics solutions within the global context.
Processing Course Topics:- 1 Review of discrete-time signals and systems concepts; z-transform properties (9 hours). 2 Sampling, multirate processing, and oversampling (6 hours). 3 Frequency response and transform analysis (3 hours)
Processing 4 Filter structures and filter design (6 hours). 5 DFT and DCT (3 hours) 6 FFT and short-time Fourier transform (STFT) applications (6 hours)
Processing 7 Introduction to parametric modeling (3 hours) 8 Introduction to adaptive signal processing (3 hours) 9 Array processing (3 hours) 10 Introduction to data compression (3 hours) Total Hours = 45
Advanced Digital Signal Processing Eight (8) Program Outcomes 1. Apply and integrate knowledge concerning communications system engineering and produce work that is at the forefront of the developments in the domain of the communications system engineering 2. Practically design and perform high level design work
Advanced Digital Signal Processing 3. Be competent to work immediately and independently to a given problem and able to apply the necessary tools all under constraints 4. Have aptitude and initiatives in managing and solving quality issues with maturity 5. Work, communicate and function effectively in a group
Advanced Digital Signal Processing 6. Critically design and solve complex communication system problems systematically 7. Demonstrate conduct that is consistent with the codes of professional ethics, legal requirements, and responsibilities 8. Show evidence of top level managerial and entrepreneurial skills
Advanced Digital Signal Processing Six (6) Course Outcomes Appreciate the application and use of DSP concepts and techniques Understand the theory of LTI systems Apply advanced DSP techniques Design filters Analyze time-varying and adaptive systems Use fast algorithms for analysis
Advanced Digital Signal Processing