Signals & Systems I: Rectangular & Triangular Signals

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Provides an overview of Fourier and Laplace transforms, their properties, and applications in signal analysis.

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

Covers the basics of the Fourier transform and its applications in signal processing.

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

Covers the properties and convolution of the Fourier transform.

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

Explains the simplification of exponential terms to sinusoidal functions for Fourier transform.

Introduces the EPFL course on Signals and Systems, covering course structure, evaluation, and key engineering concepts.

Explores the interpretation of Fourier transform and its application in signal modification.

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