Homeowners Insurance Estimate

This is a standalone HTML/JavaScript application with which a manager can get an estimate of the costs involved with the deploymnent of 1) a conventional network, 2) a network with OSS based servers and 3) a network with OSS based servers and desktops. Platforms: Windows, Mac, Linux

Skalli is a simple tool to estimate the IVS reference point of an azimuth-elevation type VLBI radio telescope. Platforms: Windows, Mac, Linux

Tensor is a tool written in Ruby that helps provide an estimate on the cost of change on test source code based on a radical change in design on production source code, especially around branch execution code. It works with the JRuby interpreter also on Platforms: Windows, Mac, BSD, Linux

This shipping module is based on Steve Kemp's Auspost module, except I've recoded it to use the Auspost Delivery Rate Calculator (DRC)This contains 2 modules effectively, one for standard post and one for express post, both have options for insurance. Platforms: Windows, *nix, PHP, BSD

Module for use the french e-commerce insurance FIA-NET. Platforms: Windows, *nix, PHP, BSD

French module for Colissimo Suivi Retour ShippingWith TVA spécification and optional insurance. Platforms: Windows, *nix, PHP, BSD

Places an update button in the estimate box rather than text to refresh the page with the estimates showing. Removed the weight listing at the top in case you use a package tare weight which would cause 2 different weights to show in the same estimate. Removed the warning for if you are not... Platforms: Windows, *nix, PHP, BSD

Falcon's Fuel Cost Calculator will help you to estimate the fuel costs of your next road trip. This calculator uses your vehicle information, travel distance and the average price of gas in your area to calculate how much you'll spend on gas. Platforms: Windows, ASP,

An LPC vocoder (Linear-Predictive Coder), is a lossy compression technique that is highly optimized for low-bitrate speech transmission.The problem here that we solve is to take a speech waveform with an 8kHz sampling rate, code it to a much lower bit-rate so that it can be transmitted over a... Platforms: Matlab

The program transforms an input image using the differential box counting algorithm to a fractal dimension (FD) image, i.e. each pixel has its own FD. Then the user can select any region of interest in the generated FD image to estimate the corresponding mean, standard deviation and lacunarity. Platforms: Matlab

The gradient function in Matlab allows you to compute the slope of a curve along its entire length. But if your curve is a noisy one, then gradient will also be noisy. In this event one might desire to fit a moderately low order polynomial regression model in a sliding window, then differentiate... Platforms: Matlab

The zip file contains functions to calculate an Ambiguity Function (XAMB), Upsampled and Interpolated Correlation (XCORRU), and Coherence Function (XCOH). A prefilter can be specified in each function to "sharpen" correlation peaks.XAMB calculates an estimate of the (cross-)ambiguity function. A... Platforms: Matlab

Some curve fitting or smoothing tools can benefit from knowledge of the noise variance to expect on your data. Kalman filters use this information, also some spline fitting tools. So I wrote a function to extract the noise variance from a signal vector. It also works on any specified dimension of... 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

The goals of this project are to:o Used ERA to investigate/estimate model order (degree) and State Space Modelo Compare Power Curves of identified model and Manufactures specificationso Estimated/predicted output power based on wind speed input (ARX and ARMAX)o Identify a SkyStream3.7 Wind... Platforms: Matlab

Sometimes it is important to be able to estimate the peak of a sampled continuous function between the samples. This is called subsample peak interpolation and is used in radar, delay estimation, and communication. Typically one fits a model to the sampled data and then finds the maximum of the... Platforms: Matlab

Suppose that you have a signal Y (Y can be a time series, a parametric surface or a volumetric data series) corrupted by a Gaussian noise with unknown variance. It is often of interest to know more about this variance. EVAR(Y) thus returns an estimated variance of the additive noise.EVAR provides... Platforms: Matlab

Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds Usage ------- [logl , M , S , P] = fsmem_mvgm(Z , [M0] , [S0] , [P0] , [option]); Inputs ------- Z Measurements (d x N)... Platforms: Matlab

I need to thank Duane Hanselman for suggesting this great idea.Fminspleas is a simple nonlinear least squares tool that fits regression models of the formY = a1*f1(X,C) + a2*f2(X,C) + ... + an*fn(X,C)X can be any array, so it works on multidimensionalproblems, and C is the set of only... Platforms: Matlab

This function was developed for nonparametric estimation problems where the estimate must satisfy some shape constraint. Our standard example of this is using a kernel density estimator, with the constraint that the estimate can have only one mode.Let x be the observed data, and confun(x,...) be... Platforms: Matlab