Lectures related to Signal Processing: Goethe's Temperature Measurement

Covers LabVIEW programming for data acquisition and display, including LabVIEW sound and visualization.

Explores IQ demodulation using FPGA and MATLAB for noisy quantum signals.

Fourier Transform: Derivatives and Laplace Transform

Explores the Fourier transform properties with derivatives and introduces the Laplace transform for signal transformation and solving differential equations.

Neural Signals and Signal Processing

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

Measurement Techniques: Practical and Theoretical Insights

Outlines the ME-301 course on measurement techniques, focusing on theoretical principles and practical applications in engineering experiments.

Introduction to Signals and Systems: Course Overview

Introduces the EPFL course on Signals and Systems, covering course structure, evaluation, and key engineering concepts.

Quantum Signal Processing

Covers IQ demodulation of noisy quantum signals using FPGA and MATLAB.

LabVIEW Programming Essentials

Explores LabVIEW essentials, troubleshooting common issues, managing cache, and data visualization techniques.

Nanowire Sensor

Focuses on nanowire sensors interfacing in parallel for various applications and innovations.

Neural Signals and Signal Processing

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

ECG Figures: Vectograms

Covers the analysis of ECG figures using Excel to create vectograms.

Data Science: Python for Engineers - Part II

Explores data wrangling, numerical data handling, and scientific visualization using Python for engineers.

Linear Time Invariant Systems: Impulse Response and Convolution

Covers linear time invariant systems, focusing on impulse response and convolution.

Structuring exploratory spatial data analysis

Explores the structured approach to exploratory spatial data analysis, emphasizing the importance of analytical frameworks and the Visual Seeking Mantra.

Principles of Digital Communication

Covers the principles of digital communication, focusing on the Nyquist Sampling Theorem and signal space dimension.

Neural Signals and Signal Processing

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

Hydropower Innovations: Water Turbines and Pump-Turbines

Covers the importance of water turbines and pump-turbines in advancing hydropower technology and sustainability.

In-memory Computing: Fundamentals and Trends

Delves into in-memory computing, exploring energy-efficient memory accesses for machine learning tasks.

Signals & Systems I: Introduction and Signal Processing

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

The Spectrogram: Understanding and Applications

Covers spectrograms, labeling axes, and wideband vs narrowband differences.