Additive white Gaussian noise

Applied sciences
Information engineering
Signal processing
Digital image processing

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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.

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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.