Gaussian noise

Kernel Antenna Array Processing

Antennas / Signal Processing / Support Vector Machines / Beamforming / Optimization / Antenna arrays / Mean square error / Noise reduction / Space Time / Support vector machine / Kernel / Svm / Antenna Array / Gaussian noise / Signal to Noise Ratio / Electrical And Electronic Engineering / Minimum Mean Square Error / Antenna arrays / Mean square error / Noise reduction / Space Time / Support vector machine / Kernel / Svm / Antenna Array / Gaussian noise / Signal to Noise Ratio / Electrical And Electronic Engineering / Minimum Mean Square Error

On optimal preview control across erasure communication links

Optimal Control / Control Systems / Gaussian processes / Design Methodology / Bernoulli process / Linear Systems / Gaussian noise / Gaussian Process / Cost Function / White Noise / Multidimensional Systems / Predictive Control / Time measurement / Linear Systems / Gaussian noise / Gaussian Process / Cost Function / White Noise / Multidimensional Systems / Predictive Control / Time measurement

Denoising electrical signal via Empirical Mode Decomposition

Power Quality / Statistical Analysis / Empirical mode decomposition / Statistical Significance / Information Content / Statistical Properties / Gaussian noise / Statistical Properties / Gaussian noise

Bayesian compressed sensing using generalized Cauchy priors

Signal Processing / Iterative Methods / Data Compression / Compressed Sensing / Probability Distribution & Applications / Data acquisition / Bayesian methods / Impulse Noise / Gaussian noise / Signal Reconstruction / Iterative Reconstruction / Data acquisition / Bayesian methods / Impulse Noise / Gaussian noise / Signal Reconstruction / Iterative Reconstruction

Empirical mode decomposition as a filter bank

Empirical mode decomposition / Wavelet Decomposition / Filter Bank / Frequency Modulation / Gaussian noise / Electrical And Electronic Engineering / Amplitude Modulation / Hurst Exponent / Electrical And Electronic Engineering / Amplitude Modulation / Hurst Exponent

Cluster spatial localization from high-resolution parameter estimation

Parameter estimation / Cramer Rao Lower Bound / High Resolution / Lower Bound / Gaussian noise / Point of View / Multi Dimensional / Channel model / Synthetic Data Generation / Point of View / Multi Dimensional / Channel model / Synthetic Data Generation

CLUSTER SPATIAL LOCALIZATION FROM HIGH-RESOLUTION PARAMETER ESTIMATION

Parameter estimation / Cramer Rao Lower Bound / High Resolution / Lower Bound / Gaussian noise / Point of View / Multi Dimensional / Channel model / Synthetic Data Generation / Point of View / Multi Dimensional / Channel model / Synthetic Data Generation

Cluster spatial localization from high-resolution parameter estimation

Parameter estimation / Cramer Rao Lower Bound / High Resolution / Lower Bound / Gaussian noise / Point of View / Multi Dimensional / Channel model / Synthetic Data Generation / Point of View / Multi Dimensional / Channel model / Synthetic Data Generation

Multi-Kernel Object Tracking

Iterative Methods / Tracking / Object Tracking / Kernel / Layout / Mean shift / Gaussian noise / Mean shift / Gaussian noise

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