Course Overview

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.

Learning Achievement

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.

Competence

Course prerequisites

Lecture and Discussion, Co-operative and Collaborative Method, Demonstration, Problem Based Method.

Grading Philosophy

Test, Assignment, Project, Final Examination

Course schedule

week 1, week 2, etc.

Course type

Online Course Requirement

Instructor

Prof. Dr. Nozomu Hamada

Other information

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. http://www.dspguide.com/pdfbook.htm. 3. Oppenheim, Schafer, and Buck, Discrete-Time Signal Processing, Prentice-Hall, 1998

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