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Continuous- and Discrete-Time Signals and Systems - Theory and Computational Examples

Home Page: http://nbviewer.jupyter.org/github/spatialaudio/signals-and-systems-lecture/blob/master/index.ipynb

License: Other

Jupyter Notebook 99.92% Python 0.08%
signal-processing signals systems fourier-transform laplace-transform notebook signal jupyter ipython bachelors-course

signals-and-systems-lecture's Issues

Typo in the Impulse Response chapter

"In can be concluded" has to be changed to "It can be concluded" (right above the first example)

-> spatialaudio/signals-and-systems-lecture/systems_time_domain/impulse_response.ipynb

Introduction of Dirac delta

Maybe it would be a good idea to point out the following more clearly:

  • A rigorous treatment of delta(t) is beyond the scope of this course material. (Same with most EE textbooks.)
  • Fortunately, for our purpose it's enough to "know the rules".

Or to quote the man himself:

Thus delta(x) is not a quantity which can be generally used in mathematical analysis like an ordinary function, but its use must be confined to certain simple types of expression for which it is obvious that no inconsistency can arise.

(P.A.M. Dirac, The Principles of Quantum Mechanics, 4th Ed., §15, p.58)

If someone wants to dig deeper, A. Vretblad - "Fourier Analysis and Its Applications" (Ch.8) has IMHO a quite accessible introduction to distribution theory.

raw of image

Hi,

Thanks for providing high-quality material for the signal processing course.
I would like to use your material, but it seems the quality of the image is low.
For instance here: sampling > aliasing.png, spectrum_lowpass_signal.png, spectrum_sampled_signal.png

Perhaps in .svg format or others (e.g., python files to generate those figures).

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