Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.
Covers the Fourier Transform, properties, periodic signals, and digital signals.
Covers the concepts of sampling and reconstruction in signal processing, emphasizing the importance of sampling frequency and reconstruction techniques.
Covers the theory of numerical methods for frequency estimation on deterministic signals, including Fourier series and transform, Discrete Fourier transform, and the Sampling theorem.
Covers the sampling theorem, impulse train sampling, bandlimited signals, and the Nyquist rate.
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.
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.
