Biometric Identification Methods

This script is useful for decorating functions/methods that you'd like to disable from the main loop or commandline via optparse.

This script introduces weakly-bound methods. You could use this decorator to create methods that weakly-reference their instance (im_self). This means that the method itself will not keep the object alive. Useful for callbacks, caches, and avoiding cyclic references.

In Python, any variable can be re-bound at will -- and modules don't let you define special methods such as an instance's __setattr__ to stop attribute re-binding. This script allows you to manage constants in Python.


Platforms: Windows, Mac, *nix, Python, BSD Solaris

Class methods were introduced in python2.2. This script illustrates how the same effect can be achieved in python 2.1.


Platforms: Windows, Mac, *nix, Python, BSD Solaris

This script allows you to add a method to a class at an arbitrary point in your code. The method is available instantly to all already existing instances and of course ones yet to be created. If you specify method_name then that name is used for the method call.


Platforms: Windows, Mac, *nix, Python, BSD Solaris

This script allows you to create custom list classes from a small subset of list methods.Subclasses should define _get_element(i), _set_element(i, value), __len__(), _resize_region(start, end, new_size) and _constructor(iterable). Define __iter__() for extra speed. The _get_element() and...


Platforms: Windows, Mac, *nix, Python, BSD Solaris

Sometimes you define properties in base class and override the getter setter methods in derived classes. Then you find out the base class though has derived properties are still pointing to baseclasse's methods not the overriden ones.


Platforms: Windows, Mac, *nix, Python, BSD Solaris

his simulation shown the system identification of an FIR and also the actual and estimated coefficients


Platforms: Matlab

This package contains a set of functions for inferiential statisticsusing resampling methods. Data are organized into arrays so multiple tests can be run at once (up to one million test per second). The package supports bootstrap, permutation and parametric statistics using paired or unpaired...


Platforms: Matlab

Learning methods for Bayesian Networks and statistical tools


Platforms: Matlab

M-files accompanying the " Genetic Algorithms & New Optimization Methods in MATLAB " webinar.These files provide what you need to run the two demos: Optimization of non-smooth objective function, and Optimization of a random stochastic objective function.To run the first demo run the file...


Platforms: Matlab

This is a Matlab code for optimizing a plane truss by two methods : Fully Stress Design and Sequential Linear Programming. In SLD, we deal with the Euler buckling condition and some other constraints.


Platforms: Matlab

In the present program three methods are used to solve a heat conduction problem. This problem is given in M. N. doOCozisik, Heat Conduction, Wiley, New York, 1980. We use pdepe, short times solution based on analytical inversion of a Laplace transform and finally a numerical solution based on...


Platforms: Matlab

The inversion of Laplace transforms is performed using two methods: (1) the Zakian method and (2) the Fourier series approximation. Results are in agreement with analytical solutions. The Zakian method presents problems for transcendental functions. The Fourier series gives better results when...


Platforms: Matlab

Two methods are provided -1) an automatic updation method which can be effectively used outside of a loop since it writes out a newton-raphson computation file from the parameters received.2) a manual file generation method; effective when the resulting file has to be called repeatedly in a loop.


Platforms: Matlab

There are several methods to solve the transmission line fault problem. In this example i showed how to solve the transmission lines in simulink . . .The problem is taken from the Hadi Sadat power system. Page no 482 Ex-11.3keep Enjoying


Platforms: Matlab

A differential equation can be solved by several methods. I have presented the simulink method to solve the differential equ. The que is showed in the screenshot.Queries and Comments are dearly invited.


Platforms: Matlab

There are three methods (1, 2 & 3 [Back-propagation]) for forecasting a time series. Here is a collection of MATLAB programming, screen shorts, Fig files giving results. Follow comments in the files to run programs


Platforms: Matlab

This book is written for computational scientists who would like to incorporate state-of-the-art computational methods for solving large sparse systems of linear equations.For a full book description and ordering information, please visithttp://www.mathworks.com/support/books/boo...=-1&language=-1


Platforms: Matlab

Catoki present a new alternative to MATLAB IDENT GUI. This is friendly interface for system identification SISO. CaToKi is based in a regular course of Identification based in Ljun Book. You can obtain models of easy way: ARX, ARMAX, Outpur-Error and Box Jenkis. Plot your input-output dates....


Platforms: Matlab