Frequency domain – tutorial 3: filtering (periodic signals)

In this video, we learn about filtering which enables us to manipulate the frequency content of a signal. A common filtering application is to preserve desired frequencies and reject the unwanted content. The learning objectives are to:
1) review the filtering concept using Fourier series representation
2) get familiar with different filters such as lowpass, highpass, bandpass and bandstop and see some applications in image processing
3) practice the math behind filtering

Learn Signal Processing 101 in 31 lectures covering time, frequency and Laplace domain in about 8 hours all together:
https://www.youtube.com/watch?v=KZd68xgasIU&list=PLJ-OcUCIty7evBmHvYRv66RcuziszpSFB

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References:
[1] Alan V. Oppenheim, Alan S. Willsky, S. Hamid Nawab, Signal & Systems, 2nd Edition, Prentice-Hall, NJ, USA, 1996.
[2] Alan V. Oppenheim, Ronald W. Schafer, Discrete-Time Signal Processing, 3rd Edition, Prentice-Hall, 2009.
[3] Michael D. Adams, Continuous-Time Signals and Systems, University of Victoria, Canada, 2013. Free textbook and lectures (courtesy of Dr. Michael Adams):
Link to the Dr. Adams' textbook: https://bit.ly/37rkwDC
Link to the Dr. Adams' lecture slides: https://bit.ly/2WrwHKy

Видео Frequency domain – tutorial 3: filtering (periodic signals) канала Iman