Lectures related to Notation and key concepts

Image Acquisition

Covers the basics of image acquisition, including optical devices, resolution factors, lens distortions, and sensor technologies.

High Dynamic Range Imaging: Algorithms and Techniques

Explores High Dynamic Range imaging, explaining how cameras stack multiple exposed pictures to create HDR images.

CMOS Color Filters: Technical Aspects of Imaging

Discusses the technical aspects of CMOS cameras, including microlenses, color filters, and image quality enhancement techniques.

Neural Signals and Signal Processing

Explores nuclear magnetic resonance, MRI principles, pulse sequences, image reconstruction, safety considerations, and volume normalization in brain imaging.

Fundamental Notions - I

Explores fundamental notions in image and video processing, covering applications and key concepts like color quantization and 2D Fourier Transform properties.

Quantization and Coding: Uniform Quantization

Explains uniform quantization in signal processing and how quantization noise increases with each additional bit.

Optical Image Sensors: Introduction and Architecture

Explores the history, architecture, and specifications of optical image sensors, including noise suppression techniques and measurement methods.

Neural Signals and Signal Processing

Explores neural signals, EMG control, muscle synergies, and HD-EMG for prosthetic devices.

Reconstructing Color Images: Techniques and Applications

Covers techniques for reconstructing color images using optical detection and artificial intelligence to enhance image quality and reduce noise.

Convolutional Neural Networks

Covers convolutional neural networks, filter operations, and their applications in signal processing and image analysis.

Neural Signals and Signal Processing

Covers neural signals, brain enthusiasm, neuroimaging, and statistical analysis in neuroimaging studies.

Image Processing I

Covers the basics of image processing and its applications in various fields.

Signals & Systems I: Introduction and Signal Processing

Covers introductory lessons on signals and systems, signal processing, and practical applications like image compression and multimedia.

Neural Amplifiers: Circuit Block Diagram and Design Requirements

Discusses the circuit block diagram and design requirements for neural amplifiers.

CCD Cameras: Electronics and Charge Conversion

Discusses the electronics of CCD cameras, focusing on output amplifiers and charge conversion processes.

Neural Signals and Signal Processing

Delves into neural signals, GLM, ANOVA, brain mapping, connectivity, and multivariate methods.

Signal Processing & Micro-Systems

Covers examples of signal processing, analog signal processing, continuous amplitude modulation, image processing, compression, micro-systems, and medical electronics.

Watermarking II

Covers advanced topics in watermarking, including resisting scaling and rotations, self-referenced watermarking, and types of attacks.

Neural Signals and Signal Processing: Methods and Designs

Explores neural signal processing methods, fMRI designs, GLM analysis, and quality control.

Neural Signals and Signal Processing: Hemodynamic Imaging

Explores hemodynamic imaging techniques to measure brain activity and understand brain structure and function.