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Digital signal processing
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Related lectures (32)
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GLM and Statistical Testing Illustrated
Explores GLM, statistical testing, neural signals, and signal processing, covering contrasts, multiple comparisons, F-tests, functional connectivity, resting-state fMRI, and multivariate methods.
IQ Demodulation: FPGA and MATLAB
Explores IQ demodulation using FPGA and MATLAB for noisy quantum signals.
Fourier Transform and Sampling
Covers the Fourier transform of sampled signals, reconstruction, and harmonic response.
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
Explores nuclear magnetic resonance, MRI principles, pulse sequences, image reconstruction, safety considerations, and volume normalization in brain imaging.
Smart Sensors for the IoT: ADCs Fundamentals
Explores ADCs fundamentals for IoT smart sensors, covering quantization, non-idealities, and topologies.
Phase-Locked Loops: Basics and Applications
Explores Phase-Locked Loops, Lock-in Amplifiers, and Oscilloscopes in electrical metrology.
Neural Signals and Signal Processing: Hemodynamic Imaging
Explores hemodynamic imaging techniques to measure brain activity and understand brain structure and function.
Linear Regression: Statistical Inference Perspective
Explores linear regression from a statistical inference perspective, covering probabilistic models, ground truth, labels, and maximum likelihood estimators.
Signals, Instruments, and Systems
Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.
