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Additive white Gaussian noise
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Related lectures (32)
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Parametric Signal Models: Matlab Practice
Covers parametric signal models and practical Matlab applications for Markov chains and AutoRegressive processes.
Hypothesis Testing with Gaussian Noise
Covers hypothesis testing with Gaussian noise and the standard Gaussian distribution.
Linear Algebra: Projection and Rotation
Covers projection, rotation, white Gaussian noise, and waveform observation in linear algebra.
Untitled
Poisson Shot Noise: Signal-to-Noise Ratio of a Photodetector
Explores Poisson processes in communication systems, focusing on photodetectors and signal-to-noise ratio calculations.
The Spike-Wigner model
Explores the Spike-Wigner model, low-rank matrix factorization, and Gaussian matrices.
Wireless Receivers: Gaussian Noise and Error Probability Estimation
Covers wireless receivers in the presence of Gaussian noise and error probability estimation.
Sparse Regression
Covers the concept of sparse regression and the use of Gaussian additive noise in the context of MAP estimator and regularization.
Gaussian Noise: Decision Making
Covers Gaussian noise and decision-making in communication systems, emphasizing the importance of understanding Gaussian noise in signal processing.
Multivariable Control
Covers Gaussian random variables, affine transformations, and linear systems driven by Gaussian noise in multivariable control.
Maximum Likelihood Estimation: Linear Models
Explores maximum likelihood estimation in linear models, covering Gaussian noise, covariance estimation, and support vector machines for classification problems.
Continuous-Time Stochastic Processes: Error Rate of PAM Signal
Explores the error rate of a Pulse Amplitude Modulation (PAM) signal transmission.
Stochastic Models for Communications: Continuous-Time Stochastic Processes
Covers continuous-time stochastic processes and linear systems.
Stochastic Differential Equations
Covers Stochastic Differential Equations, Wiener increment, Ito's lemma, and white noise integration in financial modeling.
Untitled
Communication Channels: Gaussian Noise and Capacity
Explores the capacity of communication channels with Gaussian noise and noise impact.
Poisson Process: Signal-to-Noise Ratio of a Photodetector
Explores Poisson processes in photodetectors, emphasizing signal-to-noise ratio calculations under different conditions.
Stochastic Processes and Spectral Densities
Covers spectral densities, signal correlations, and white noise processes in stochastic systems.
Noise Reduction Techniques in Analog Circuits
Explores noise and offset reduction techniques in analog circuits, focusing on Autozero and Chopper Stabilization.
Linear Estimation and Prediction: Part 2
Covers the estimation and prediction of random signals in linear systems.
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