Explores nuclear magnetic resonance, MRI principles, pulse sequences, image reconstruction, safety considerations, and volume normalization in brain imaging.
Discusses signal representation, focusing on mathematical expressions and inequalities in signal processing.
Covers the basics of image processing and its applications in various fields.
Covers convolutional neural networks, filter operations, and their applications in signal processing and image analysis.
Explores fundamental notions in image and video processing, covering applications and key concepts like color quantization and 2D Fourier Transform properties.
