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Lecture
Psychoacoustic Foundations & Signal Processing
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Related lectures (31)
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Sampling: DT-time processing of CT signals
Covers the importance of sampling in signal processing, including the sampling theorem and signal reconstruction.
Sampling and Reconstruction
Covers sampling, Fourier Transform, and reconstruction using low-pass filters in signal processing.
Spectrogram Analysis: Psychoacoustic Foundations & Signal Processing
Explores spectrogram analysis, including DFT, STFT, and CQT, for tasks like music transcription and onset detection.
Signal Processing: Sampling and Reconstruction
Covers the concepts of quantization, coding, and sampling in signal processing.
Fourier Transform: Basics and Applications
Covers the basics of the Fourier transform and its applications in signal processing.
Discrete Fourier Transform: Unlimited Duration Signals
Explores the Discrete Fourier Transform applied to signals of unlimited duration using various windows for improved accuracy.
Signals and Systems: Sampling Theorem and Applications
Discusses the sampling theorem and its applications in signal processing.
Fourier Transform: Derivatives and Laplace Transform
Explores the Fourier transform properties with derivatives and introduces the Laplace transform for signal transformation and solving differential equations.
Fourier Series and Transforms: Introduction and Properties
Covers Fourier series, Fourier transforms, and convolution properties, including linearity and commutativity.
Signal Processing: Basics and Applications
Covers the basics of signal processing, including Fourier transform, linear systems, and signal manipulation.
