Fourier Transform

Related lectures (31)

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Explores ideal sampling, Fourier transformation, spectral repetition, and analog signal reconstruction.

Covers the importance of sampling in signal processing, including the sampling theorem and signal reconstruction.

Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.

Covers the Fourier transform of sampled signals, reconstruction, and harmonic response.

Covers Fourier transform, sampling, reconstruction, Nyquist frequency, and ideal signal reconstruction.

Covers the basics of signal processing and electric circuits.

Covers sampling, Fourier Transform, and reconstruction using low-pass filters in signal processing.

Covers the concepts of quantization, coding, and sampling in signal processing.

Covers the fundamentals of signal sampling and reconstruction, including the sampling theorem and practical reconstruction systems.

Covers the concepts of analog, discrete, and digital signals, sampling times, frequencies, and pulses.