Linear Estimation and Prediction

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Related lectures (32)

Signal Processing: Filtering and Noise Reduction

Explores signal-to-noise ratio, filtering noisy signals, and power spectral density for noise reduction in signal processing.

Yule Walker Equations: Efficient Implementation and Correlation Analysis

Explores Yule Walker equations for efficient implementation and correlation analysis in signal processing.

Noise Reduction Techniques

Explores various noise reduction techniques, including impedance matching, temperature reduction, and bandwidth reduction.

Small Signal Analysis: High-Speed Photodetectors

Discusses the small signal analysis of high-speed photodetectors, focusing on circuit components, noise analysis, and modeling for receiver systems.

Linear Algebra: Projection and Rotation

Covers projection, rotation, white Gaussian noise, and waveform observation in linear algebra.

Electrical Metrology

Explores different types of noise in electrical systems and their impact on electronic devices.

Sparse Regression

Covers the concept of sparse regression and the use of Gaussian additive noise in the context of MAP estimator and regularization.

Image Filtering: Basics and Techniques

Explores image filtering techniques, including linear and nonlinear filters, for artifact removal and feature enhancement.

The leaky integrator: Denoising and impulse response

Covers the leaky integrator, denoising signals, and its impulse response.

Estimation and Linear Prediction - Part 2

Explores power spectral density, Wiener-Khintchine theorem, ergodicity, and correlation estimation in random signals for signal processing.

Basic Properties of Optical Detectors: Formalism and Characteristics

Discusses the fundamental properties and characteristics of optical detectors, including responsivity, quantum efficiency, and the impact of noise on detection limits.

Back to Linear Regression

Covers linear regression, regularization, inverse problems, X-ray tomography, image reconstruction, data inference, and detector intensity.

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