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Lecture
Dirac Delta
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Related lectures (32)
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Dirac Delta Function
Introduces the Dirac delta function and discusses its properties and applications in signal processing and physics.
Fourier Transform: Basics and Examples
Explains the basics of Fourier transform and demonstrates its application through examples, including periodic functions and Fourier Transform Pairs.
Fourier Transform Pairs and System Analysis
Covers Fourier transform pairs, system analysis with difference equations, and frequency response.
Neural Signals and Signal Processing
Explores neural signals, EMG control, muscle synergies, and HD-EMG for prosthetic devices.
The Sampling Theorem
Covers the sampling theorem, impulse train sampling, bandlimited signals, and the Nyquist rate.
Impulse Response and Laplace Transform
Explores impulse response, Laplace transform, and their applications in dynamical systems.
Neural Signals and Signal Processing
Delves into neural signals, GLM, ANOVA, brain mapping, connectivity, and multivariate methods.
Neural Signals and Signal Processing
Covers neural signals, brain enthusiasm, neuroimaging, and statistical analysis in neuroimaging studies.
Frequency Estimation (Theory)
Covers the theory of numerical methods for frequency estimation on deterministic signals, including Fourier series and transform, Discrete Fourier transform, and the Sampling theorem.
Sampling and Reconstruction
Covers sampling, Fourier Transform, and reconstruction using low-pass filters in signal processing.
