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Unit for packing/unpacking of memory or files by using modified RLE-alorithm. Amazing speed of tiny assembler code.
This is a quick-hack module I wrote up in a couple of hours that allows for a nicer syntax to build up struct-like binary packing and unpacking. The point was to get it to be concise and as C-like as possible. This script requires python3 for it's...
Alternative notation for defining closures in python; It avoids packing closure variables into containers by assigning attributes to the inner function.
Packing images of different sizes into one image is often required in order to efficiently use hardware accelerated texture mapping functions of 3D video cards.
This file contain functions to diffraction coeficient for several solid shapes:
- absorbig screens; - square wedges; - conductor screens.
It provides the coalculation of the tansition function to solve GTD problem...
Virtual Signal Generator is a GUI that produces (1) periodic functions (including sinusoidal, triangle, sawtooth, and square waves) of varying amplitudes, frequencies, and phases; (2) square pulse trains of varying amplitudes, frequencies, phases,...
This short m-file demonstrates the Gibbs' phenomenon in Signal Processing. It clearly shows the "ringing" when the number of Fourier components are enhanced while synthesising a square waveform.
This program generates filtered BPSK with proper pulse shaping filters such as ideal Nyquist, Raised cosine, Square root raised cosine and Gaussian filters. Determine the power spectrum of filtered BPSK signals.
ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points.
Ordinary usage:
[R, T] = icp(model,data)
INPUT: ...
The LMSE package contains two subroutines. LMSE computes the minimum mean square error (MSE) possible if one image is allowed to be linearly scaled in intensity. LMSEDIFF computes the difference image after the target image is scaled according to...
The Kalman filter is actually a feedback approach to minimize the estimation error in terms of sum of square. This approach can be applied to general nonlinear optimization. This function shows a way using the extended Kalman filter to solve some...
The Kalman filter can be interpreted as a feedback approach to minimize the least equare error. It can be applied to solve a nonlinear least square optimization problem. This function provides a way using the unscented Kalman filter to solve...
This function computes Spherical Error Probable radius from inputs consisting of the square roots of the eigenvalues of a covariance matrix (equivalently, from sigma-x, sigma-y, and sigma-z, of a trivariate normal distribution in a coordinate...
"Hungarian algorithm" to solve the square assignment problem (original & pure MATLAB implementation). The Hungarian algorithm can also be used as a sub-solver in a B&B solver for the travelling salesman problem.
How to...
FitChiTool provides an interface similar to the Curve Fitting Toolbox to the fitChiSquare function.
This allows you to perform fits using chi-square when measurement errors are known on linear or nonlinear models. It allows allows you...
Objective of the program is to solve for the steady state voltage distribution in a region 0<x<30, 0<y<30, given that one of the sides of square is excited with a voltage of 45*(x)*(1-x) Volts and all other sides are maintained at...
I was trying out modifications of the LMS algorithm so that it will converge faster and the mean square error will also be smaller. Getting to one of the drawbacks of LMS, that it has only one controllable parameter "mu", the selection...
Functions related to the assignment problem. Main functions: hungarian - calculate a solution of the square assignment problem. See HELP for a reference.
A MATLAB function used for generating pulses of various kinds including: gaussian, square, triangle, monocycle, biexponential, mexican hat, sinc, double sinc, sinc squared, sweep, and raised cosine. Inputs control the length, sampling frequency,... |