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Explores sinusoidal aliasing, from periodic complex exponentials to aliasing of sinusoids.
Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.
Covers syntax and typing rules in programming languages, discussing aliasing, mutability, and store locations.
Covers the concept of sampling, the sampling theorem, signal reconstruction, and the conversion of analogue signals to digital signals.
Introduces records, variants, evaluation rules, typing rules, aliasing challenges, and benefits in programming languages.
Covers sampling, transformations, acquisition models, aliasing problems, and examples in image processing.
Covers bandpass sampling for signals with limited frequency range, ensuring information preservation through proper sampling techniques.
Explores sampling signals and their spectrum, highlighting the significance of choosing the right sampling frequency for accurate signal representation.
