Towed Sensor Estimation

DRAGSENS Geo Software is used for the exact position estimation of a towed body, sensor, camera, array or net, dragged behind a ship, aircraft or vehicle. The software allows a real-time estimation of the position of a dragged sensor based on the location of a GPS-receiver. The sensor thereby can...

Designed for scalability and integration between machine and supervisory levels, Desktop Operation Sensor could allows user to trigger and monitor many window processes at the same time Real Time Synchronization. Desktop Operation Sensor lets you create macros to control your Windows...

The filter performs multiframe and singleframe motion estimation and compensation in a video stream. It allows to show macroblocks' partition, motion vectors and the accuracy of motion vectors as well. The performance of the filter can be configured setting parameters in a dialog box. The filter...


Platforms: Windows

The comb pilot aided channel estimation in ofdm modulation is considered. The power of pilot subchannels is under the control.The data experience frequency selective channel then the AWGN noise is added to make the situation worse. The bit error rate is ploted versus SNR.


Platforms: Matlab

Wireless sensor networks offer an entire new field open for research and development. These types of networks conceptually offer many exciting features including scalability, self-configuration, self-healing, multicast routing, and easy deployment.For these reasons, they are well suited for a...


Platforms: Matlab

In many practical signal processing problems, the objective is to estimate from measurements a set of constant parameters upon which the received signals depend.For example, high-resolution direction-of-arrival (DOA) estimation is important in many sensor systems such as radar, sonar, electronic...


Platforms: Matlab

This is a scaled down easy version of the state estimation module that is run in energy control centres. It has the following features:(1) option to enter the weights for your measures(2) an implementation of the weighted least square estimationfeatures missing:(1) bad data recognition


Platforms: Matlab

This estimation method is based on well known paper.J.J. van de Beek, M. Sandell, and P.O. BdoOC?orjesson, `ML Estimation of Time and Frequency OdlT«setin OFDM Systems', IEEE Transactions on Signal Processing, vol. 45, no. 7, pp. 1800{1805,July 1997.


Platforms: Matlab

This function implements approximately median unbiased (MU) estimation of the AR(p) model following Andrews, D.W.K and H.-Y. Chen (1994), "Approximately Median-Unbiased Estimation of Autoregressive Models," Journal of Business & Economic Statistics, 12(2), 187-204.No toolboxes are required.


Platforms: Matlab

This programme estimates the parameters in nonlinear mixed effects growth/degradation models by means of ML estimation. S-plus uses this same function that was established by J. Pinheiro & D. Bates.


Platforms: Matlab

2 dimenstion Kernel density Estimation with Sheater Jones bandwidth for each variable.Also the Sheater Jones bandwidth selectionmethod will work for the univariate.


Platforms: Matlab

Designed for scalability and integration between machine and supervisory levels, ME DOSensor could allows user to trigger and monitor many window processes at the same time Real Time Synchronization. ME DOSensor lets you create macros to control your Windows applications, automate program...


Platforms: Windows

System Sensor's Voltage Drop Calculator is a quick and efficient means for developing voltage drop calculations for fire alarm control panels and auxiliary power supplies. It calculates the voltage drops along a System Sensor Notification Appliance Circuit (NAC) by analyzing each device on the...


Platforms: Windows

System Sensor's Voltage Drop Calculator is a quick and efficient means for developing voltage drop calculations for fire alarm control panels and auxiliary power supplies. It calculates the voltage drops along a System Sensor Notification Appliance Circuit (NAC) by analyzing each device on the...


Platforms: Mac

Full-featured implementation of the de facto industry standard COCOMO 81 (detailed model) software project effort and schedule estimation algorithms, with extensions that also project cost based on development organization labor grade/pay structure. Calculations are based on estimated program...


Platforms: Windows

The main program is MAIN.mThis program will estimate the single source points present in theinstantaneous mixtures and using the estimated single source points the mixing matrix will be estimated. Then the error in mixing matrixestimation and the latest estimated mixing matrix will be...


Platforms: Matlab

This submission includes functions and scripts for the estimation and simulation of ACD (autoregressive conditional duration) models. The zip file includes: - Scripts and functions for Estimation of an ACD(q,p) model with exponential or weibull distribution- Scripts and functions for Simulation...


Platforms: Matlab

The CMVE toolbox estimates missing values by using correlation structure of the data. The software can be used to impute missing values in any correlated data especally microarray gene expression data. The imputation performance of the software has proven significant affect on gene regulatory...


Platforms: Matlab

Functions written in 2007 for Master Thesis: "Simulating dependent random variables using copulas. Applications to Finance and Insurance". Functions include MVCOPRND - multivariate copula generator, CMLSTAT for estimation of copula parameters using Canonical Maximum Likelihood Method. Functions...


Platforms: Matlab

In the paper "An estimation technique for Time Indexed gaussian Mixture Models", we propose a model specification that can be used to describe data with spikes, jumps, mean reversion, geometric brownian motion, you name it...We then develop an estimation procedures to extract the parameters from...


Platforms: Matlab