Digital Signal Processing

The course covers Digital Filters design, Adaptive Filters, Hardware and Software of DSP, Correlation and Spectral Estimation of Random signals, and Time-Frequency Spectrum Analysis. This course introduces the Problem/Project Based Learning (PBL) on various applications in DSP. The PBL will focus on audio, speech signal processing. 1. Apply and investigate digital signal processing methods appropriately in signals and systems. 2. Analyse the signal processing problems in general electronic systems. 3. Design digital filter systems and investigate its performance. 4. Use modern technical software e.g. MATLAB for designing and examining the DSP systems. 5. Use technology for presenting a DSP task/project appropriately through written mode. Malaysia-Japan International Institute of Technology UTMKL Lecture and Discussion, Co-operative and Collaborative Method, Demonstration, Problem Based Method. week 1, week 2, etc. Prof. Dr. Nozomu Hamada conditional SMJE 3163 3 Sem 6 1. Li Tan, Digital Signal Processing, Fundamentals and Applications, Academic Press, 2008 2. Steven Smith, The Scientist and Engineer’s Guide to Digital Signal Processing. 3. Oppenheim, Schafer, and Buck, Discrete-Time Signal Processing, Prentice-Hall, 1998 Test, Assignment, Project, Final Examination Prof. Dr. Nozomu Hamada