Digital Signal Processing |
TAKAGI Motoki |
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【Information and Electronic Engineering･2nd semester】
19-1-0479-4737 |
| １． |
Outline |
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We learn how to processing digital signal in this course.
This course is related to DP3.
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| ２． |
Objectives |
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(1) We will learn how to find differential equation from block diagram
(2) We will learn how to estimate and program property of digital filter with python
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| ３． |
Grading Policy |
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Evaluation rate are Report 20 %, midterm exam 40%, final exam(40%).
All the reports should be submitted.
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| ４． |
Textbook and Reference |
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No textbook in this course, but we use LMS and handouts.
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| ５． |
Requirements (Assignments) |
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Preparation for the class: 1.5 hours
Review of the class ： 1.5 hours
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| ６． |
Note |
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Course contents might be modified.
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| ７． |
Schedule |
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１. Guidance, introduction to Python with Jupyter notebook
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２. Practicing of python (1), complex values, simple digital signal processing
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３. Practicing of python (2), Fourier series
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４. Practicing of python (3), laplace transform
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５. Practicing of python (4), transfer function and block diagram
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６. Practicing of python (5), implementation of analog filter and digital filter
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７. Midterm exam and review
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８. Discrete-time system(1) differential equation
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９. Discrete-time system(2) z transform and frequency response
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10. Digital filter(1) FIR filter
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11. Digital filter(2) IIR filter
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12. Digital filter(3) Comb filter
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13. Digital filter(4) Design of FIR filter
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14. Digital filter(5) Exercise of designing FIR filter
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15. Final exam and review
|
|
| １． |
Outline |
|
We learn how to processing digital signal in this course.
This course is related to DP3.
|
| ２． |
Objectives |
|
(1) We will learn how to find differential equation from block diagram
(2) We will learn how to estimate and program property of digital filter with python
|
| ３． |
Grading Policy |
|
Evaluation rate are Report 20 %, midterm exam 40%, final exam(40%).
All the reports should be submitted.
|
| ４． |
Textbook and Reference |
|
No textbook in this course, but we use LMS and handouts.
|
| ５． |
Requirements (Assignments) |
|
Preparation for the class: 1.5 hours
Review of the class ： 1.5 hours
|
| ６． |
Note |
|
Course contents might be modified.
|
| ７． |
Schedule |
|
１. Guidance, introduction to Python with Jupyter notebook
|
２. Practicing of python (1), complex values, simple digital signal processing
|
３. Practicing of python (2), Fourier series
|
４. Practicing of python (3), laplace transform
|
５. Practicing of python (4), transfer function and block diagram
|
６. Practicing of python (5), implementation of analog filter and digital filter
|
７. Midterm exam and review
|
８. Discrete-time system(1) differential equation
|
９. Discrete-time system(2) z transform and frequency response
|
10. Digital filter(1) FIR filter
|
11. Digital filter(2) IIR filter
|
12. Digital filter(3) Comb filter
|
13. Digital filter(4) Design of FIR filter
|
14. Digital filter(5) Exercise of designing FIR filter
|
15. Final exam and review
|
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