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Digital signal processing

All lectures: All lectures on the discipline: digital signal processing are collected here. These fascinating lectures provide us with the opportunity to explore the deep principles and phenomena underlying our knowledge and our desire to understand the world.

1. Linear and cyclic convolution

2. Discrete Fourier Transform (DFT)

3. Discrete Fourier Transform (DFT) Properties

4. Algorithms of fast Fourier transform FFT (fast Fourier transform). Principle of construction

5. FFT base 2 with thinning time

6. FFT base 2 with decimation frequency

7. Goertzel algorithm

8. Dynamic recalculation of spectral samples at each sampling clock. Modified algorithm

9. Polyphase FFT (polyphase FFT)

10. Farrow filters using the example of a third-order filter. Resampling signals

11. Spectral analysis on a limited time interval. Window functions

12. The use of window functions in problems of digital spectral analysis. Examples and recommendations

13. Convolution (mathematical analysis)