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Lecture
Psychoacoustic Foundations & Signal Processing
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Related lectures (31)
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Fourier Transform Interpretation and Reciprocity Theorem
Explores the interpretation of Fourier transform and its application in signal modification.
Signal Processing Fundamentals
Covers the basics of signal processing and electric circuits.
The Sampling Theorem
Covers the sampling theorem, impulse train sampling, bandlimited signals, and the Nyquist rate.
Fourier and Laplace Transforms: Concepts and Applications
Provides an overview of Fourier and Laplace transforms, their properties, and applications in signal analysis.
Fourier Transform: Inversion Formula
Explores the Fourier Transform inversion formula and its applications in signal processing.
Signal Processing: Basics and Spectral Analysis
Covers the basics of signal processing, linear estimation, and digital filters.
Fourier Transform: Motivating Formula
Covers the motivation behind the Fourier transform formula, explaining the process step by step.
Properties of Fourier Transform
Explores the properties and applications of the Fourier transform in signal processing and mathematics.
The Ear as an Electroacoustic Sensor
Explores the human hearing system, emphasizing the outer ear's role in sound capture and transmission, as well as the middle ear's function in transforming vibrations into electrical signals.
Signal Processing Fundamentals
Covers signal processing, electric circuits, Fourier Transform, Kirchhoff's laws, and practical applications in various fields.
