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Signals, Instruments, and Systems
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Related lectures (31)
Neural Architectures for Embodied AI and Cognition
Explores neural architectures for embodied AI, cognitive systems, and the integration of computing and robotics.
Obstacle Avoidance with DS
Explores obstacle avoidance using Dynamical Systems for robots, focusing on modulation, stability guarantees, and contraction theory.
Robotics Invention Commercialization
Explores the journey of an independent inventor in the robotics industry, from patenting to commercializing a new industrial robot technology.
Signal Representation
Discusses signal representation, focusing on mathematical expressions and inequalities in signal processing.
Discrete Fourier Transform: Unlimited Duration Signals
Explores the Discrete Fourier Transform applied to signals of unlimited duration using various windows for improved accuracy.
Computational Robot Design: Morphological Intelligence and Simulation
Explores computational robot design, morphological intelligence, simulation, and innovative contact dynamics solutions.
Estimation and Linear Prediction - Part 2
Explores power spectral density, Wiener-Khintchine theorem, ergodicity, and correlation estimation in random signals for signal processing.
Neural Signals and Signal Processing
Explores neural signals, EMG processing, muscle synergies, and prosthetic control using advanced signal processing techniques.
Signal Processing: Basic Definitions and Signal Typology
Covers the basic definitions and typology of signals, including analog and digital signals.
Definition of Robots
Delves into the definition of robots, emphasizing their programmability and ability to perform complex actions.
Fourier Transform: Concepts and Applications
Covers the Fourier transform, its properties, applications in signal processing, and differential equations, emphasizing the concept of derivatives becoming multiplications in the frequency domain.
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