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Dirac Delta
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Neural Signals and Signal Processing
Explores nuclear magnetic resonance, MRI principles, pulse sequences, image reconstruction, safety considerations, and volume normalization in brain imaging.
Neural Signals and Signal Processing: Hemodynamic Imaging
Explores hemodynamic imaging techniques to measure brain activity and understand brain structure and function.
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.
Digital Filters: Structure and Implementation
Explores digital filters, their implementation, characteristics, and realizations, with examples for illustration.
The leaky integrator: Denoising and impulse response
Covers the leaky integrator, denoising signals, and its impulse response.
Fourier Transforms: Dirac Delta, Fourier Integral, and Transform
Explores the Dirac delta, Fourier integral, and Fourier transform applications in solving PDE problems.
Discrete Fourier Transform: Unlimited Duration Signals
Explores the Discrete Fourier Transform applied to signals of unlimited duration using various windows for improved accuracy.
Neural Signals and Signal Processing
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Estimation and Linear Prediction - Part 2
Explores power spectral density, Wiener-Khintchine theorem, ergodicity, and correlation estimation in random signals for signal processing.
Vector Representation of Signals
Explores the vector representation of signals, orthogonal functions, and Fourier series.
