Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.
Explores filtering signals with a moving average filter and the process of sampling, emphasizing the importance of signal reconstruction from samples.
Covers the concept of sampling, the sampling theorem, signal reconstruction, and the conversion of analogue signals to digital signals.
Covers the sampling theorem, impulse train sampling, bandlimited signals, and the Nyquist rate.
Covers the concepts of sampling and reconstruction in signal processing, explaining the conditions for accurate reconstruction.
Covers the theory of numerical methods for frequency estimation on deterministic signals, including Fourier series and transform, Discrete Fourier transform, and the Sampling theorem.
Explains signal sampling, the need for discrete sampling, errors, quantization, and choosing the right sampling period.
Explores analog and digital signal processing, A/D and D/A conversion, resolution, settling time, and digital interfaces in electronic circuits.
