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Lecture
Signal Representation
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Related lectures (32)
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Signal Representation
Discusses signal representation, focusing on mathematical expressions and inequalities in signal processing.
Signal Processing: Properties and Norms
Explores the properties and norms of discrete signals in signal processing.
Physical Sens of Potentials
Explores the physical sense of potentials, equilibrium between subsystems, and work and free energy in systems.
Neural Signals and Signal Processing
Explores neural signals, EMG control, muscle synergies, and HD-EMG for prosthetic devices.
Fourier Transform: Concepts and Applications
Covers the Fourier transform, its properties, applications in signal processing, and differential equations, emphasizing the concept of derivatives becoming multiplications in the frequency domain.
Neural Signals and Signal Processing
Delves into neural signals, GLM, ANOVA, brain mapping, connectivity, and multivariate methods.
Signal Processing: Basic Definitions and Signal Typology
Covers the basic definitions and typology of signals, including analog and digital signals.
An Introduction to Signal Processing
Covers the fundamentals of signal processing, analog-digital conversion, and applications of ADCs and DACs in environmental engineering.
Signal Representations
Covers the properties of signal/data representations using Fourier transformations and matrices.
Discrete Fourier Transform: Unlimited Duration Signals
Explores the Discrete Fourier Transform applied to signals of unlimited duration using various windows for improved accuracy.
