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Lecture
Signals & Systems I: Fundamentals
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Related lectures (30)
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Sampling and Reconstruction Theory
Covers the concepts of analog, discrete, and digital signals, sampling times, frequencies, and pulses.
Fourier Analysis: Fourier Series and Transform
Explores Fourier series, DFT, FFT, and their applications in signal processing and spectroscopy.
Fourier Transform: Concepts and Applications
Covers the Fourier transform, its properties, and applications in signal processing and differential equations, demonstrating its importance in mathematical analysis.
Fourier Transforms: Properties and Applications
Explores Fourier transforms, including properties, convolution, Parseval's theorem, and energy spectral density for non-periodic functions.
Spectrogram Analysis: Psychoacoustic Foundations & Signal Processing
Explores spectrogram analysis, including DFT, STFT, and CQT, for tasks like music transcription and onset detection.
Introduction to Signals and Systems: Course Overview
Introduces the EPFL course on Signals and Systems, covering course structure, evaluation, and key engineering concepts.
Signals & Systems I: Fourier Analysis
Explores Fourier analysis, including reconstruction formula, Fourier series, and spectrum interpretation.
Signals, Instruments, and Systems: System Properties and Transforms
Introduces system properties, Laplace Transform, and analog filters for signal analysis.
Signal Representations
Covers matrix operations, Fourier transformations, Gaussian models, and signal representations using algebraic methods.
Signals & Systems I: Introduction and Signal Processing
Covers introductory lessons on signals and systems, signal processing, and practical applications like image compression and multimedia.
