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Lecture
Signal Processing Fundamentals
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Related lectures (29)
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Gaussian Processes: Designing Receivers
Covers the theory behind Gaussian processes and the design of receivers using MAP calculations.
Hypothesis Testing with Gaussian Noise
Covers hypothesis testing with Gaussian noise and the standard Gaussian distribution.
Neural Signals and Signal Processing
Explores neural signals, EMG control, muscle synergies, and HD-EMG for prosthetic devices.
Nanowire Sensor
Focuses on nanowire sensors interfacing in parallel for various applications and innovations.
Isometric Transforms: Understanding Transformations
Covers the concept of isometric transforms and their applications in communication systems.
Stochastic Models for Communications
Covers mathematical tools for communication systems and data science, including information theory and signal processing.
Volume and Signal Processing
Covers volume and signal processing concepts in mathematical calculations and signal analysis.
Linear Algebra: Projection and Rotation
Covers projection, rotation, white Gaussian noise, and waveform observation in linear algebra.
Stochastic Models for Communications: Continuous-Time Stochastic Processes
Covers examples of continuous-time stochastic processes in communications.
Neural Signals and Signal Processing
Delves into neural signals, GLM, ANOVA, brain mapping, connectivity, and multivariate methods.