


Z Transform
This lecture overviews Z Transform that has many applications in signal processing and systems theory.



Signal Sampling
This lecture overviews Signal Sampling that has many applications in signal acquisition, processing and analysis.



Laplace Transform
This lecture presents Laplace Transform (LT) and its region of convergence. Its relation to Laplace transform is presented. Notable LT properties are reviewed: time shift, convolution, signal differentiation/integration.



Discrete Fourier Transform
This lecture overviews Discrete Fourier Transform that has many applications in digital signal processing and analysis and in power spectrum estimation.



Fast Fourier Transform
This lecture overviews Fast Fourier Transform that has many applications in digital signal processing and analysis and in power spectrum estimation.



State – Space Equations
This lecture overviews State –Space Equations that has many applications in digital filters, systems theory and deep learning.