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Digital Signal Processing (Ι)

Digital Signal Processing (Ι)

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Course Name

Digital Signal Processing (Ι)

Course Description

Techniques of Digital Signal Processing (DSP) have boomed in recent decades, and have been widely applied in our daily life and military. The course intends to introduce fundamental concepts and techniques of DSP, which include discrete-time signals and systems, discrete-time Fourier Transform, sampling, z-transform, digital filters, Fast Fourier Transform, and so on.

 

Teacher

Kuan-hung Chang

Class Name

Graduate Program of Electro-acoustics

(1st year)

Semester

2

Course Property

Elective

Language of Instruction

Chinese

Credit

3

 

Preparatory courses

Course Code

Course Name

Important ideals, principles, and skills linked to course

MATH200

Linear Algebra

Fundamental concepts and matrix operation of linear algebra

STAT401

Probability Theory

Probability model of digital signal and analysis

COME201

Signal and System

Concepts and characteristics of signals and system in time domain and frequency domain

       

 

Correlation of course objectives and basic/core learning outcomes

Theme of learning levels (choose) 1. Knowledge  2. Comprehension 

3. Application  4.Analysis  5. Synthesis 6. Evaluation

Course objectives and basic/core learning outcomes

Correlation

1. Understand and describe the characteristics of discrete-time signals and systems in both time and frequency domains.

1

3

2. Understand and utilize Fourier transform to transform between time and frequency domains.

1

3

4

3. Distinguish between time domain and frequency domain for both discrete-time signals and systems.

1

3

4. Understand and describe the sampling theory for transforming analog signals to discrete-time signals.

1

3

4

5. Understand and describe the general mathematical model and the structures of discrete-time systems as well as be able to distinguish their classification.

4

6. Understand and explain how to proceed with down and up samplings, and the effects generated in both time and frequency domains.

3

4

7. Understand z-transform and utilize z-transform to proceed with analysis of discrete-time systems.

1

3

4