Signals and Systems (Sophomore)

• A course offered for undergraduate students by Software Division during Fall Semester

• You can find a course syllabus here

• 신호 및 시스템 과목에서는 아나로그 신호와 시스템에 대한 기초이론을 습득한다. 이와 함께 Fourier 변환, Laplace 변화과 이를 적용하여 시스템의 특성을 해석하는 원리에 대해 알아본다.

• 선수과목: 공업수학 I

Digital Signal Processing (Junior)

• A course offered for undergraduate students by Software Division during Fall Semester

• You can find a course syllabus here

• In this class, students will learn the fundamentals of digital signal processing theories, including z-transform, DT systems, DFT, FFT, and FIR/IIR filters. They will also learn applications of digital signal processing theories.

• Prerequisite: Engineering Mathematics, Signals and Systems

Multimedia Systems (Senior)

• A course offered for undergraduate students by Software Division during Spring Semester

• You can find a course syllabus here

• This class is for students who want to undertake advanced work in the areas of technologies for multimedia. From this lecture, students will learn hardware and software applications of digital multimedia systems.

• Topics covered in this class include computer hardware, communications networks, speech, audio, image, and video signal processing, etc. Students will practice software tools for authoring multimedia content. They have to accomplish assignments designed for practicing the tools.

• Students are required to be with backgrounds in digital signal processing, linear algebra, continuous-time signal and system.

Adaptive Digital Filters (Graduate)

• A course offered for graduate students by Computer Science Dept. during Spring/Fall Semester

• You can find a course syllabus here

• ADF 과목에서는 랜덤 프로세스를 바탕으로 하는 선형 예측 기법에 대하여 살펴본다. 그리고 최적 필터인 Wiener filter와 이를 적응적으로 구현하는 steepest decent algorithm, LMS 알고리듬의 유도과정과 수렴 특성등에 대해 고찰하며 파워 정규화 특성을 갖는 Normalized LMS 알고리듬에 대해서 알아본다.

• 이와 함께 고속 적응 알고리듬인 Affine Projection(AP), Recursive Least Square(RLS), 그리고 order-recursive 구조인 lattice, escalator 필터를 유도하고 특성을 관찰한다. 마지막으로 적응 필터를 응용한 echo canceller와 active noise control 시스템에 대해 고찰한다.

Advanced DSP (Graduate)

• A course offered for graduate students by Computer Science Dept. during Spring/Fall Semester

• You can find a course syllabus here

• Advanced DSP 과목에서는 디지털 신호처리에 관한 심회된 이론을 습득하고 응용분야에 대해 살펴본다.

• 본 과목에서 다루는 내용은 digital filter design, parametric and non-parametric spectrum estimations, multi-rate signal processing 등이다.

• 선수과목: Signals and Systems, DSP, Adaptive Filter Theory

DSP Experiments (Graduate)

• A course offered for graduate students by Computer Science Dept. during Spring/Fall Semester

• You can find a course syllabus here

In this class, students are required to

• Understand DSP architecture and learn Assembly programming skills.

• Learn how to implement DSP algorithms using DSP hardware.

• Build a complete (or core) DSP system.