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Lecture
Signal Representations
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Related lectures (30)
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Signal Representation: Fourier Transforms
Covers the representation of signals using Fourier transforms and the properties of signal vectors.
Fourier Series and Transforms: Introduction and Properties
Covers Fourier series, Fourier transforms, and convolution properties, including linearity and commutativity.
Fourier Transform: Circuit Analysis
Explores the Fourier transform applied to circuit analysis and its properties.
Signals, Instruments, and Systems: System Properties and Transforms
Introduces system properties, Laplace Transform, and analog filters for signal analysis.
Fourier Transform: Analysis IV
Covers the Fourier transform in Analysis IV, discussing Fourier series and solutions for various problems.
Quantum and Nanocomputing
Explores quantum and nanocomputing fundamentals, including LTspice simulation and FFT analysis.
Fourier Transform: Problem Solving
Covers solutions to a sample midterm, focusing on Fourier transform problems and system interconnections.
Discrete-Time Fourier Transform
Explores the discrete-time Fourier transform, its properties, and signal transformations, including examples like the rectangular pulse and unit impulse.
Fourier Filtering
Explores Fourier filtering principles, applications in image processing, and efficient FFT implementation.
Spectrogram Analysis: Psychoacoustic Foundations & Signal Processing
Explores spectrogram analysis, including DFT, STFT, and CQT, for tasks like music transcription and onset detection.
