Power engineering signal processing applications

Signal processing technology involves many disciplines and is applied in many fields. It has a relatively complete theoretical system and requires strong engineering practice. For a long time, people with educational backgrounds in control and electrical majors have generally had solid knowledge of linear systems but weak knowledge of signal analysis and processing. Therefore, the "Power Engineering Signal Processing Application" course is a major and successful reform of undergraduate teaching in electrical majors.

Chapter 1 Introduction to Algorithms and Fourier's Algorithm
01-01 Introduction to Algorithms
01-02 Fourier's Algorithm
Chapter 2 Least Squares Algorithm
02-01 Algorithm Theory
02-02 Algorithm Application
Chapter 3 Kalman Filtering
03-01 Algorithm Theory
03- 02 Algorithm Application
Chapter 4 Synchrophasor Measurement Unit
Chapter 5 Correlation Analysis
05-01 Algorithm Theory
05-02 Algorithm Application
Chapter 6 PRONY Algorithm
06-01 Algorithm Theory
06-02 Algorithm Application
Chapter 7 Wavelet Analysis
07-01 Algorithm Theory
07-02 Algorithm Application
Chapter 8 Mathematical Morphology
08-01 Algorithm Theory
08-02 Algorithm Application
Chapter 9 Hilbert-Huang Transformation
09-01 Algorithm Theory
09-02 Algorithm Application
Chapter 10 S Transform
10-01 Algorithm Theory
10-02 Algorithm Application
Chapter 11 Fractal
Chapter 12 Test Paper and Others

• Chapter 1：introduction (57 minutes and 17 seconds)

• Chapter 2：Chapter 1 Fu's Algorithm (01) (46 minutes and 38 seconds)

• Chapter 3：Chapter 1 Fu's Algorithm (02) (33 minutes and 15 seconds)

• Chapter 4：Chapter 1 Fu's Algorithm (03) (53 minutes and 16 seconds)

• Chapter 5：Chapter 1 Fu's Algorithm (04) (34 minutes and 49 seconds)

• Chapter 6：Chapter 2 Least Squares Algorithm (01) (43 minutes and 9 seconds)

• Chapter 7：Chapter 2 Least Squares Algorithm (02) (40 minutes and 41 seconds)

• Chapter 8：Chapter 3 Kalman Filter 01 (50 minutes and 55 seconds)

• Chapter 9：Chapter 3 Kalman Filter 02 (31 minutes and 42 seconds)

• Chapter 10：Chapter 4 Synchrophasor Measurement Unit 01 (40 minutes and 25 seconds)

• Chapter 11：Chapter 4 Synchrophasor Measurement Unit 02 (36 minutes and 26 seconds)

• Chapter 12：Chapter 5 Related Analysis Algorithm Theory (20 minutes and 25 seconds)

• Chapter 13：Chapter 5 Application of Related Analysis Algorithms (16 minutes and 36 seconds)

• Chapter 14：Chapter 6 PRONY Algorithm 01 (46 minutes and 33 seconds)

• Chapter 15：Chapter 6 PRONY Algorithm 02 (35 minutes and 47 seconds)

• Chapter 16：Wavelet theory (26 minutes and 44 seconds)

• Chapter 17：Algorithm application (25 minutes and 33 seconds)

• Chapter 18：Chapter 8 Mathematical Morphology 01 (46 minutes and 53 seconds)

• Chapter 19：mathematical morphology theory (17 minutes and 59 seconds)

• Chapter 20：Chapter 8 Mathematical Morphology 02 (42 minutes and 12 seconds)

• Chapter 21：Algorithm application (22 minutes and 0 seconds)

• Chapter 22：Chapter 9 Hilbert-Huang Transformation 01 (45 minutes and 2 seconds)

• Chapter 23：Chapter 9 Hilbert-Huang Transformation 02 (40 minutes and 29 seconds)

• Chapter 24：algorithm theory (44 minutes and 49 seconds)

• Chapter 25：Algorithm application (24 minutes and 45 seconds)

• Chapter 26：Fractal (20 minutes and 17 seconds)

• Chapter 27：Fractal Application (19 minutes and 46 seconds)