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Lecture
Signals & Systems I: Fourier Analysis
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Related lectures (29)
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Signal Representations
Covers matrix operations, Fourier transformations, Gaussian models, and signal representations using algebraic methods.
Signals & Systems I: Introduction to Communication Systems
Covers the basics of signals and systems in communication, including modulation, medical imaging, Fourier analysis, and biological systems.
Fourier Transform: Properties and Convolution
Covers the properties and convolution of the Fourier transform.
Fourier Transform: Compression and Analysis
Covers the Fourier transform, compression techniques, and spectral analysis of periodic signals.
Fourier Transform Interpretation and Reciprocity Theorem
Explores the interpretation of Fourier transform and its application in signal modification.
Signal Processing & Micro-Systems
Covers examples of signal processing, analog signal processing, continuous amplitude modulation, image processing, compression, micro-systems, and medical electronics.
Signals, Instruments, and Systems
Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.
Sampling and Reconstruction Theory
Covers the concepts of analog, discrete, and digital signals, sampling times, frequencies, and pulses.
Signal Representation: Fourier Transforms
Covers the representation of signals using Fourier transforms and the properties of signal vectors.
