Displaying 98 resources
Discrete Fourier Transform
This lecture overviews Discrete Fourier Transform that has many applications in digital signal processing and analysis and in power spectrum estimation.
Athlete Motion Analysis
This lecture overviews Athlete Motion Analysis that has many applications in Human-centered Computing, Image and Video Analysis and Sports coaching. It covers the following topics in detail: Motion Caption. Body pose. Rigid object motion.
Machine Listening for Music and Sound Analysis
This lecture is held every winter semester as part of the Audio Signal Processing & Audio Systems Module at TU Ilmenau.
Orthogonal Signal Transforms. Fourier Series
This lecture overviews Orthogonal Signal Transforms. Fourier Series that has many applications in signal processing, analysis and compression.
Blockchain Algorithms
This lecture overviews Blockchain technology that has many applications in cryptocurrencies, e-commerce and identity management.
Object Pose Estimation
This lecture overviews object pose estimation that has many applications in Human-Robotic Interaction (HRI), Robotics and Augmented Reality.
Face Recognition
This lecture overviews that has many applications in Human-centered Computing, Image and Video Analysis, Surveillance and Social Media Analytics. It covers the following topics in detail: Face recognition/identification. Face verification.
Gesture Recognition
This lecture overviews Gesture Recognition that has many applications in Human-Machine Interaction (HMI), Human-Robot Interaction (HRI), Sign Language, Navigation or/and the manipulation in VR environment and Distance learning.
Graph Signal Processing
This lecture overviews Graph Signal Processing that has many applications in Network Theory, Web Science and Social Media Analytics. It covers the following topics in detail: Linear 1D convolution. Cyclic 1D convolution. Graph Basics.
Face Clustering
This lecture overviews Face Clustering that has many applications in Human-centered Computing, Image and Video Analysis and Social Media Analytics. It covers the following topics in detail: Facial image similarities. Similarity graphs.
Hidden Markov Models
This lecture overviews Hidden Markov Models that have many applications in Data Analytics and Signal Analysis. It covers the following topics in detail: Markov Chains. Hidden Markov Chains: Viterbi algorithm, Forward-backward algorithm.
Cryptocurrencies
This lecture overviews Cryptocurrencies that has many applications in Finances, Network Theory and Web Science. It covers the following topics in detail: Introduction to Cryptography, Blockchain and Blockchain Consensus Algorithms.