Digital Signal Processing (ELEC811)
Lecture Overview
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Digital Signal Processing begins with a discussion of the analysis and representation of discrete-time signal systems, including discrete-time convolution, difference equations, the z-transform, and the discrete-time Fourier transform. Emphasis is placed on the similarities and distinctions between discrete-time. The course proceeds to cover digital network and non-recursive (finite impulse response) digital filters. Digital Signal Processing concludes with digital filter design and a discussion of the fast Fourier transform algorithm for computation of the discrete Fourier transform. |
Prof. Daejin Park introduces basic fundamentals for the given lectures during 1 hour, then practice items by examples will be given. Mr. Dongkyu Lee will explain the experiment in details. Mr. Kwon and Mr. Kang are ready to assist the students during lab time. Students can ask any questions to these lecture assistants (TAs) directly or through lms web site.
Assignments
This lecture is experiment class. We cover only small parts of boring theory. Everything you have to do is to write your codes by yourself. All students have to do the programming problems themselves within 3 hours. The every on-the-live test will be given during the lecture.
Grading Criteria
Mid test 25%, final test 35% are evaluated by on-site programming and demonstration method. The lab during the every lecture is evaluated everyone, for 20% credit. The report is also given for 20% record. 5%record will be evaluated regarding to the safety preliminary class.
Lecture Timeline
The following is a brief time schedule during one semester. Please contact us to get the detailed lecture information including lecture slides. The registered students can get the lecture slides from KNU lecture management systems (lms).
Introduction to Lecture
Signal Representation - Transition to Digital from Analog World
Discrete Sequences - Digital Signal Representation
Periodic Sampling - Discrete Time Sampling and Digitized Quantization
Discrete Fourier Transform (DFT) for Digital Signal Analysis
FIR and IIR Filter Design - Digital Signal Processing
Laplace Transform and Z-Transform
Stability Analysis
IIR Filter Responses Analysis using Z-Transform
Project - DFT, FFT Implementation using C Programming
Project - FIR and IIR Filter Implementation on Embedded MCU using C Programming
Project - FIR and IIR Filter Implementation on FPGA using Verilog HDL
Project - High Resolution Digital Class-D Amplifier Implementation using PWM
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