Introduces the fundamentals of noise in electronics, covering origins, signal types, power characteristics, and noise sources.
Explores nuclear magnetic resonance, MRI principles, pulse sequences, image reconstruction, safety considerations, and volume normalization in brain imaging.
Explores Signal Detection Theory and its impact on decision-making processes in statistics and experimental design.
Explores phase transitions in signal processing, demonstrating their impact on signal reconstruction and the application of threshold algorithms in image denoising.
