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Explores the ideal lowpass filter, its impulse and frequency response, and challenges due to infinite support and lack of stability.
Explores signal sampling theory, interpolation techniques, and the importance of the sampling theorem in signal processing.
Explores sampling strategies for signals, emphasizing the importance of controlling errors in the sampling process.
Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.
Explores the geometric interpretation of filter responses and the challenges of achieving causal filters in real-time signal processing.
Explores the frequency sampling method to approximate ideal filters, useful for quick prototyping but lacking fine control over errors.
Explores signal reconstruction basics, including interpolation techniques and formulas using triangular and sinc functions.
