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updated 18 days ago

mravendi/KalmanFilter by M R Avendi

M R Avendi (view profile)

Kalman Filter (kalman filter, signal processing, statistical signal pr...)

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updated 1 month ago

Sensorless (position estimation) DTC of 8/6 Switched reluctance Motor (SRM) using ANFIS Control by srikanth dakoju

sensorless speed control of SRM (86, srm, switched)

sensorless_anfis.mdl

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updated 1 month ago

Sensorless (position estimation) DTC (vector Control) of Switched Reluctance Motor (SRM) using Fuzzy by srikanth dakoju

Fuzzy Logic Control of SRM by direct torque control (srm, speed, control)

sensorless_fuzzy.mdl

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updated 1 month ago

Sensorless (position estimation) DTC for Switched Reluctance Motor (SRM) using ANN Control by srikanth dakoju

position estimaiton of srm (direct torque control) (srm, switched, reulctance)

sensorless_ann.mdl

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updated 3 months ago

Unknown Input Observer Review and Examples by Sam Nazari

The UIO is reviewed in a PDF file and Simulink examples from control theory are given. (signal processing, estimation, disturbance estimatio...)

bookEx.m

carsus.m

massSpring.m

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updated 3 months ago

Batched partitioned nonlinear least squares by John D'Errico

John D'Errico (view profile)

Speed up when you have a very large number of nonlinear least squares problems, but with one model (optimization, regression, nonlinear)

Demo file for batchpleas.m

batchpleas(Xdata,Ydata,batchindex,funlist,INLPstart,batch...

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updated 3 months ago

Unknow Input Observer Example by Sam Nazari

An example of the Unknown Input Observer (signal processing, estimation, control design)

bookEx.m

exOne.slx

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updated 4 months ago

MEMS Accelerometer Calibration using Gauss Newton Method by Balaji Kumar

Balaji Kumar (view profile)

Computes the Scale factor Matrix and the bias vector of a MEMS accelerometer (aerospace, imu, ahrs)

CalibAccel.m

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updated 4 months ago

Model order selection using Least squares by Charan Puladas

This is a simulation of order recurssive algorithm on how to find the model order of an estimator. (signal processing, communications, estimation)

leastsqs.m

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updated 5 months ago

State Estimation in Power System security - Bad measurement calculation by Sleeba Paul

Program estimates the bad calculation in a given set of measurements (power, system, state)

error_data.m

H_error.m

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updated 5 months ago

State Estimation in Power System Security by Sleeba Paul

The true value of the measurement is calculated using conventional method (state, estimation, power)

H_data.m

state_estimation.m

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updated 5 months ago

DCM parameter estimation - PSO static optimization by Michal Bortnowski

Testing possibilities of DCM parameter estimation using PSO (estimation, particle swarm optimi...)

estimation_4D_SOP_PSO.m

estimation_5D_SOP_PSO.m

motor.mdl

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updated 6 months ago

MIMO OFDM LSE CHAN ESTIMATION by Hamid Ramezani

In this code we consider the least square error channel estimation for a MIMO OFDM system. (mimo, ofdm, lse)

MIMO_OFDM_LSE_CHAN_EST(ofdmIn,chanIn)

MIMO_OFDM_LSE_CHAN_EST_LOOP.m

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updated 8 months ago

Adaptive Robust Numerical Differentiation by John D'Errico

John D'Errico (view profile)

Numerical derivative of an analytically supplied function, also gradient, Jacobian & Hessian (hessian, jacobian, toolbox)

derivest_demo

multivariable_calc_demo

derivest(fun,x0,varargin)

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updated 9 months ago

Data based modeling of nonlinear dynamic systems using System Identification Toolbox by Rajiv Singh

Perspectives on nonlinear identification using a throttle valve modeling example. (toolbox, system identification, narmax)

throttleODE(t, x, F, c, k, K, b, varargin)

throttledemo.m

dataprep.m

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updated 11 months ago

co_moments.m by Christopher

Computes calculation of Mean Vector, Covariance, Coskewness and Cokurtosis Matrices (covariance, coskewness, cokurtosis)

co_moments( series,select,lambda )

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updated 1 year ago

Conditional Logit by Jared Ashworth

A conditional logit function that allows restrictions (estimation, logit)

P=pclogit(b,Y,X,Z,baseAlt)

[like,grad]=clogit(b,restrMat,Y,X,Z,baseAlt)

asclogitSim.m

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updated 1 year ago

Estimating a constant state using the Kalman Filter by Lazaros Moysis

Kalman Filter example for estimating a constant value (estimation, kalman, filter)

KalmanFilterExample.m

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updated 1 year ago

Detection, Estimation, and Modulation Theory Part I, 2Ed (Van Trees, Bell, Tian) Solutions & Figures by Kristine Bell

Chapters 6-9 Solution and Figure Files (detection, estimation, filtering)

Fig7_66.m

Fig9_10_11.m

Fig9_12_13.m

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updated 1 year ago

Detection, Estimation, and Modulation Theory Part I, 2Ed (Van Trees, Bell, Tian) Solutions & Figures by Kristine Bell

Chapters 2-5 Solution and Figure Files (detection, estimation, filtering)

TwoComplexExponentials2DMax(x,L)

[omega1_hat,omega2_hat]=TwoComplexExponentialsAP(x,L)

[omega1_hat,omega2_hat]=TwoComplexExponentialsEM(x,L)

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updated 1 year ago

Extended Kalman Filter by Sam Nazari

An EKF for an autonomous vehicle implemented in Simulink (kalman filter, simulink, estimation)

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updated 1 year ago

Adaptive Observer by Sam Nazari

An adaptive scheme is used to estimate state & parameters for SISO systems (estimation, filter)

adaptiveObsRun.m

adaptiveObs

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updated 2 years ago

Intrinsic dimensionality estimation techniques by Gabriele Lombardi

Implementation of some state-of-art intrinsic dimensionality estimators. (statistics, intrinsic dimensional..., estimation)

Intrinsic Dimensionality (id) estimation

DANCo(data,varargin)

DANCoFit(data,varargin)

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updated 2 years ago

Nadaraya-Watson smoothing by Jan Motl

Jan Motl (view profile)

A non-parametrical regression (smoothing) tool using Gaussian kernel. (regression, smoothing, smooth)

[smoothed score h]=smoothing(ydata,varargin)

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updated 2 years ago

Alternating Conditional Expectation algorithm (ACE) by Henning Voss

Alternating Conditional Expectation algorithm (ACE) to calculate optimal transformations (nonparametric, ace, alternating condition...)

ace_main()

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updated almost 3 years ago

Unscented Kalman Filter (UKF) modeling of FitzHugh-Nagumo dynamics by Henning Voss

Unscented Kalman Filter (UKF) applied to FitzHugh-Nagumo neuron dynamics. (unscented kalman filt..., fitzhughnagumo, estimation)

FitzHughNagumo()

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updated 3 years ago

Extended Kalman Filter Tracking Object in 3-D by Alex Dytso

Alex Dytso (view profile)

Using Kalman filter to track object in 3D. Comparing Extended Kalman filter to its linear version. (aerospace, demo, simulation)

ExtendedKalmanFilter

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updated 3 years ago

% An array signal parameter maximum likelihood estimator problem by Lei Sun

Lei Sun (view profile)

An array signal parameter maximum likelihood estimator variance simulations (cramerrao bound, ml estimator, maximum likelihood es...)

calc_beta(x_l,s_l,a_vec)

calc_crb(s_l,a_vec,Q)

gen_observes(s_l,a_vec,sigma_sqr,Mu,L,rho)

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updated 3 years ago

hessianAnalysisDemo by Steinar Elgsæter

Demo of how Hessian analysis can reveal a poorly scaled estimation problem (hessian, numerical analysis, modeling)

hessianAnalysisDemo.m

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updated 3 years ago

Optimization, Nonlinear Control, and Estimation Toolbox by John Hedengren

APM MATLAB toolbox for nonlinear control and estimation of DAE models with IPOPT (nonlinear, simulation, control)

apm(server,app,aline)

apm_info(server,app,class,name)

apm_load(server,app,filename)

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updated 3 years ago

Theil–Sen estimator by Arnout Tilgenkamp

Robust regression for slope estimation between 1dimensional X and y (regression, slope, estimation)

Theil_Sen_Regress(x,y)

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updated 4 years ago

PI Estimation Using Montecarlo by muj

muj (view profile)

PI Estimation Using Montecarlo (pi, estimation, montecarlo)

PI(varargin)

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updated 4 years ago

PURE-LET for Poisson image denoising by SANDEEP PALAKKAL

This is an implementation of the PURE-LET, recently proposed for Poisson image denoising. (pure, purelet, sure)

cshift2(x,m,n,ud,rl)

cspin_purelet( x, let_id, J, nSpin )

fast_cconv2(x,h,opt)

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updated 4 years ago

Optimization Tips and Tricks by John D'Errico

John D'Errico (view profile)

Tips and tricks for use of the optimization toolbox, linear and nonlinear regression. (optimization, examples, tutorial)

optimtips

[x,fval,exitflag,output]=fminsearchbnd(fun,x0,LB,UB,optio...

consolidator(x,y,aggregation_mode,tol)

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updated 4 years ago

Motion Detection by Harsha Vardhan

Motion Detection using videos recorded still camera (signal processing, image processing, video processing)

motion(A,B)

motio.m

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updated 4 years ago

Simulation of Forward Curve using PCA (principle component analysis) by Moeti Ncube

Moeti Ncube (view profile)

Method of simulation forward curves (pca, prinicple component a..., forward curve)

importfile(fileToRead1)

vecr(x)

simfwdcurve.m

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updated 4 years ago

Time Series estimation of Cyclical data process by Moeti Ncube

Moeti Ncube (view profile)

Procedure for estimation cyclical data (time series, ar1 process, estimation)

cyclicalmodel.m

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updated 4 years ago

Rayleigh Fading Channel Signal Generator by Avetis Ioannisyan

Rayleigh Fading Channel based on Hadamard and Jakes model (rayleigh, fading channel, wireless)

ai_RayCh(NumAngles, Length, symbolRate, NumWaveforms, car...

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updated 4 years ago

Parameter Estimation Technique for general datasets by Moeti Ncube

Moeti Ncube (view profile)

An estimation procedure for many types of data (electricity price spi..., em algorithm, calibration)

[x,y,l]=simulatej(a,b,c,d,g,h,lambda,x0,T)

y1=likelihoodj(y,x,a,b,c,d,g,h,lambda)

y=mx(a,x)

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updated 4 years ago

2D AR and 2D ARMA parameters estimation by Simona Maggio

Algorithms for 2D AR and 2D ARMA parameters estimation. (ar, arma, 2d)

ar2d(x,k1,k2)

arma2d(x,p1,p2,q1,q2,varargin)

inv_ar2d(x,Ab,p1,p2)

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updated almost 5 years ago

Multi Channel Physiological Signal Estimation (PhysioNet 2010 Challenge entry) by Ikaro Silva

Ikaro Silva (view profile)

Algorithm using GALL and Kalman filters for channel estimation. (multi channel, adaptive, estimation)

[sig,varargout]=mcaf(x,varargin)

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updated almost 5 years ago

Local Regression 2D by Arnout Tilgenkamp

Local Regression for 2D Data with plot/figure (finance, regression, local regression)

[y0]=MLR(X,y,span,X0,robuust)

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updated 5 years ago

Model Replay by Ben Spivey

Performs state or parameter estimation of process models using the APMonitor executable. (gui, optimization, data export)

ModelReplayGUI2(varargin)

cellwrite(filename, cellarray)

tabpanel(varargin)

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updated 5 years ago

Blind Channel estimation for MIMO systems using Linear Space time codes by Choqueuse Vincent

Perform channel estimation for general STBC-MIMO systems using a subspace approach. (blind, channel, estimation)

[channel]=subspace_channel_estimation_STBC(received_signa...

[modulated_coded_symbols]=space_time_coding(modulated_sym...

one_shot.m

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updated 5 years ago

Blind Channel estimation for MIMO systems using Orthogonal Space time codes by Choqueuse Vincent

Perform channel estimation for OSTBC-MIMO systems. (blind, channel, estimation)

SOS_channel_estimation_OSTBC.m

[modulated_coded_symbols]=space_time_coding(modulated_sym...

one_shot.m

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updated almost 6 years ago

gaussian_mixture_model.m by Matthew Roughan

Matthew Roughan (view profile)

Estimate the parameters of a 1D Gaussian Mixture Model using the EM algorithm. (statistics, estimation, gaussian)

...

norm_density(x, mu, sigma)

normcdf(x, mu, sigma)

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updated almost 6 years ago

Resampling methods for particle filtering by Jose-Luis Blanco

Implementation of four resampling methods (Multinomial, Residual, Stratified, and Systematic) (particle filter, resampling, ess)

ESS( w )

Gauss( x )

countPathHypotheses(x)

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updated almost 6 years ago

Introduction to Unscented Kalman Filtering by Krisada Sangpetchsong

Unscented Kalman filtering tutorial: Simulink and tilt sensor case study. (aerospace, simulink, kalman filter)

compare_error_variance_1run.m

compare_error_variance_monte_carlo.m

tilt_system

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updated 6 years ago

IPF by Matthew Roughan

Matthew Roughan (view profile)

Performs a simple Iterated Proportional Fit (IPF). (statistics, traffic matrices, fitting matrices)

ipf(T, R, C, epsilon, max_it)

ipf_test.m

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updated 6 years ago

Richardson Extrapolation by Rhys

Rhys (view profile)

A generalized Richardson extrapolation routine with many bells and whistles. (taylor, richardson, extrapolation)

richardson( A1s, kis, t, exact )

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