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Yumei Hu's Projects

codes-for-ijdsn icon codes-for-ijdsn

Matlab codes for paper entitled "Distributed Hybrid Consensus-Based Square-Root Cubature Quadrature Information Filter and Its Application to Maneuvering Target Tracking"

consensus icon consensus

Implements consensus algorithms on fixed and time varying graphs

copula-variational-bayes icon copula-variational-bayes

Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2018

cresis-toolbox icon cresis-toolbox

CReSIS Toolbox: Polar radar software toolbox (mostly Matlab based). Includes OPS interface.

distributed-network-consensus icon distributed-network-consensus

MATLAB implementation of "Average TimeSync Protocol", an algorithm for clock synchronization via distributed linear iterations from IEEE publication "A Distributed Consensus Protocol for Clock Synchronization in Wireless Sensor Networks" by Luca Schenato and Giovanni Gamba

ecen671-book-matlab icon ecen671-book-matlab

MATLAB Code associated with Mathematical Methods and Algorithms for Signal Processing by Moon, Stirling

ekf_fusion icon ekf_fusion

Using an Extended Kalman Filter to calculate a UAV's pose from IMU and GPS data.

emmixturemodel icon emmixturemodel

ECE 565 Class project matlab implementation on parameter estimation of mixture of two binomial distribution

exercise icon exercise

exercise for Neural Network and Deep Learning

fast2spsa icon fast2spsa

The MATLAB code below implements the second-order SPSA (simultaneous perturbation stochastic approximation) and second-order SG (stochastic gradient) in an efficient manner, such that the FLOPS-per-iteration is reduced from $O(p^3)$ to $O(p^2)$ where $p$ is the dimension of the underlying parameter. See more details in "Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems" (to appear in IEEE TNNLS).

filterpy icon filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

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