Explores filtering signals with a moving average filter and the process of sampling, emphasizing the importance of signal reconstruction from samples.
Covers the concepts of sampling and reconstruction in signal processing, explaining the conditions for accurate reconstruction.
Covers the concept of sampling, the sampling theorem, signal reconstruction, and the conversion of analogue signals to digital signals.
Explores noise reduction techniques in electrical systems, covering concepts like Fourier transform, impedance matching, and dithering.
Covers the Fourier transform, its properties, applications in signal processing, and differential equations, emphasizing the concept of derivatives becoming multiplications in the frequency domain.
