Fourier Transform: Concepts and Applications

Related lectures (30)

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Covers the Fourier Transform, essential for analyzing stable LTI systems through complex exponentials.

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

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

Introduces system properties, Laplace Transform, and analog filters for signal analysis.

Covers Fourier series, Fourier transforms, and convolution properties, including linearity and commutativity.

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

Covers the continuous-time Fourier transform, its properties, and applications to stable LTI systems.

Covers the properties of signal/data representations using Fourier transformations and matrices.

Explores discrete signals, Fourier transform, modulation, convolution, DFT properties, and signal periodicity.

Covers Fourier transform pairs, system analysis with difference equations, and frequency response.