Signals, Instruments, and SystemsExplores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.
Filtering and Sampling of SignalsExplores filtering signals with a moving average filter and the process of sampling, emphasizing the importance of signal reconstruction from samples.
Introduction to SamplingCovers the concept of sampling, the sampling theorem, signal reconstruction, and the conversion of analogue signals to digital signals.
Analog and Digital ConversionExplores analog and digital signal processing, A/D and D/A conversion, resolution, settling time, and digital interfaces in electronic circuits.
The Sampling TheoremCovers the sampling theorem, impulse train sampling, bandlimited signals, and the Nyquist rate.
Signal Sampling: SamplingExplains signal sampling, the need for discrete sampling, errors, quantization, and choosing the right sampling period.
Sampling and ReconstructionCovers the concepts of sampling and reconstruction in signal processing, explaining the conditions for accurate reconstruction.
