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DSP and Signal Processing Calculations
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Related lectures (32)
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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.
Signal Processing Fundamentals
Covers the basics of signal processing and electric circuits.
Neural Signals and Signal Processing: Hemodynamic Imaging
Explores hemodynamic imaging techniques to measure brain activity and understand brain structure and function.
Neural Signals and Signal Processing
Covers neural signals, brain enthusiasm, neuroimaging, and statistical analysis in neuroimaging studies.
Signal Processing: Sampling and Reconstruction
Covers Fourier transform, sampling, reconstruction, Nyquist frequency, and ideal signal reconstruction.
Fourier Transform Interpretation and Reciprocity Theorem
Explores the interpretation of Fourier transform and its application in signal modification.
Fourier Transform: Basics and Applications
Covers the basics of the Fourier transform and its applications in signal processing.
Optimization of Neuroprosthetic Systems
Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.
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.
Frequency Estimation in Deterministic Case (Low Noise)
Covers frequency estimation in deterministic signals using DFT and signal processing.
