Introduction to Time Series Analysis. Lecture 4. Peter Bartlett Last lecture: 1. Sample autocorrelation function 2. ACF and prediction 3. Properties of the ACF

Source URL: www.stat.berkeley.edu

• Covariance and correlation
• Signal processing
• Time series analysis
• Fourier analysis
• Autocovariance
• Stationary process
• Autocorrelation
• Covariance function
• Covariance

719 PROCEEDINGS LETTERS terms involving one variable in an MV polynomial are fiied, the coefficients of the remaining terms in the polynomial are rigidly related to these, if the polynomial has to be separable.

Source URL: www-isl.stanford.edu

• Digital signal processing
• Mathematical analysis
• Bernard Widrow
• Artificial neural networks
• Filter theory
• Analysis
• Pi
• Matrix
• Adaptive filter
• 2D Adaptive Filters

IEEE INTERNET OF THINGS JOURNAL A joint publication of IEEE Sensors Council, IEEE Communications Society, IEEE Computer Society, and IEEE Signal Processing Society CALL FOR PAPERS IEEE Internet of Things Journal Special

Source URL: iot-journal.weebly.com

Model-based Approaches to Robust Speech Recognition in Diverse Environments Yongqiang Wang Darwin College Engineering Department Cambridge University

Source URL: mi.eng.cam.ac.uk

• Estimation theory
• Signal processing
• Computer accessibility
• Speech recognition
• Linear regression
• Maximum likelihood estimation

Introduction to Time Series Analysis. LectureReview: Spectral density estimation, sample autocovariance. 2. The periodogram and sample autocovariance. 3. Asymptotics of the periodogram. 1

Source URL: www.stat.berkeley.edu

• Mathematical analysis
• Fourier analysis
• Signal processing
• Unitary operators
• Frequency domain analysis
• Integral transforms
• Fourier transform
• Spectral density estimation
• Spectral density
• Fourier
• Fourier series

Compositional analysis of floating-point linear numerical filters David Monniaux ´ CNRS / Laboratoire d’informatique de l’Ecole normale sup´erieure

Source URL: www-verimag.imag.fr

• Filter theory
• Digital signal processing
• Telecommunications engineering
• Signal processing
• Mathematics
• Digital filter
• Linear filter
• Infinite impulse response
• Z-transform
• Electronic filter
• Filter
• Convolution

ADAPTIVE SUPERRESOLUTION PHENOMENA IN ABERRANT ARRAYS Neil K. Jablon Bernard Widrow Department of Electrical Engineering

Source URL: www-isl.stanford.edu

• Signal processing
• Beamforming
• Adaptive beamformer
• Sensor array
• Antenna
• Signal-to-noise ratio
• Noise

Foundations of Distributed Signal Processing Michael C. Gastpar EPFL and University of California, Berkeley September 4, 2012

Source URL: www.mics.org

• Maths24
• Character sets

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 2, NO. 4, OCTOBERMultiscale Techniques for the Detection of Precipitation Using Thermal IR Satellite Images

Source URL: geostat.bordeaux.inria.fr

• Earth observation satellites
• Mathematical analysis
• Unmanned spacecraft
• Earth
• Dimension theory
• Fractals
• Signal processing
• Weather satellites
• Multifractal system
• Precipitation
• Wavelet
• Meteosat

Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning Yuhui Quan1 , Yan Huang2 , Hui Ji1 1 2

Source URL: www.cv-foundation.org

• Algebra
• Linear algebra
• Mathematics
• Machine learning
• Numerical linear algebra
• Signal processing
• Sparse dictionary learning
• Unsupervised learning
• Sparse approximation
• Feature learning
• K-SVD
• Support vector machine