Tide Prediction in Venice

Related lectures (30)

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Explores spectrogram analysis, including DFT, STFT, and CQT, for tasks like music transcription and onset detection.

Covers the properties and convolution of the Fourier transform.

Introduces the discrete Fourier transform, a key tool for digital signal analysis.

Covers Fourier series, analysis, the heat equation, Gibbs phenomenon, and Fourier transform properties.

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

Explores Fourier series, DFT, FFT, and their applications in signal processing and spectroscopy.

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

Covers the Fourier transform, compression techniques, and spectral analysis of periodic signals.

Explores frequency periodicity in the discrete Fourier transform for signal reconstruction.

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