Lectures related to CCD Mixing Techniques: Optical Detection Solutions

Explores heart rate variability analysis using ECG data and its physiological significance.

Stochastic Models for Communications: Introduction

Introduces mathematical tools for communication systems and data science, focusing on stochastic processes and preparing students for advanced courses.

Neural Signals and Signal Processing

Explores neuronal signals, brain organization, measurement techniques, and MRI principles.

Signal Processing: Sampling and Reconstruction

Covers the concepts of quantization, coding, and sampling in signal processing.

Signal Processing: Basic Definitions and Signal Typology

Covers the basic definitions and typology of signals, including analog and digital signals.

EMG: figures propagation

Covers the process of EMG data analysis and signal inversion for further analysis.

Untitled

Signal Processing: Properties and Norms

Explores the properties and norms of discrete signals in signal processing.