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Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.
Covers the concept of sampling, the sampling theorem, signal reconstruction, and the conversion of analogue signals to digital signals.
Covers the process of making pizza, sampling, averages, dispersion, residuals, and normal distribution.
Covers the sampling theorem, impulse train sampling, bandlimited signals, and the Nyquist rate.
Explores research process, variable types, causality vs correlation, and sampling strategies.
Explores challenges in data assumptions, biases, and more in research, including incomplete write-ups and frustrations of newcomers.
