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Signal Representation
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Related lectures (32)
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Neural Signals and Signal Processing
Explores neural signals, EMG processing, muscle synergies, and prosthetic control using advanced signal processing techniques.
IQ Demodulation: FPGA and MATLAB
Explores IQ demodulation using FPGA and MATLAB for noisy quantum signals.
Neural Signals and Signal Processing: Methods and Designs
Explores neural signal processing methods, fMRI designs, GLM analysis, and quality control.
Optimization of Neuroprosthetic Systems
Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.
Neural Signals and Signal Processing
Explores neural signal processing for brain-computer interfaces, including decoding techniques like Kalman filters and spike sorting.
Introduction to Signal Processing
Introduces the basics of signal processing and its applications in different fields.
Signal Processing Fundamentals
Introduces signal processing basics, Fourier transform, and filtering techniques with practical applications and challenges.
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.
FPGA Programming with Speedgoat: Real-Time Signal Processing
Focuses on implementing a square function generator using Speedgoat FPGA technology and real-time signal processing techniques.
Cavity Method: Mean Field Theory
Explores the Cavity Method in Mean Field Theory, analyzing spins in an external field within a graph.
