% Fast nearest, bi-linear and bi-cubic interpolation for image data % % Usage: % ------ % Z = ba_interp2(F, X, Y, [method]) % % where method is one off nearest, linear, or cubic. % % F is a WxHxD Image with an arbitrary number of layers D. % X, Y are I_1 x ... x I_n matrices with the x and y coordinates to % interpolate. % Z is a I_1 x ... x I_n x D matrix, which contains the interpolated...
This MEX performs 2d bilinear interpolation using an NVIDIA graphics chipset. To compile and run this software, one needs the NVIDIA CUDA Toolkit (http://www.nvidia.com/object/cuda_get.html) and, of course, an NVIDIA graphics card of reasonably...
Provides linear and quadratic interpolation methods for functions defined on scattered 2D datasets.
The quadratic method in tinterp seems to be superior when compared to the cubic method in gridata.
Type "help...
Linear slider looks like a frame with two markers for selecting min and max range limits.This component was developed to perform range selection. It uses background image (bmp) and could be connected to 2 TEdit components, which will display/edit...
Linear programming library that incorporates the power of linear programming solver and simplicity of integration to Borland Delphi, Borland C++ Builder and other that support a DLL import. The maximum number of constraints and variables is...
Solves simultaneous linear equations of any order using Crammer's rule. Required input is two lists..one for coefficients, and other for constants eg. 2x+3y=8 x+4y=6 will be written as simul([[2,3],[1,4]],[8,6])
wen we give the two sequence ,we will get the o/p of linear convolution.the two sequences are computing by particular formula.thus we will got the output from the two sequences. the impulse response also we will get.
Companion software for the Signal Processing & Linear Systems book by B.P. Lathi
Linear feedback shift registers (LFSR) are a simple method of generating sequences, including pseudorandom number sequences. The LFSR code provided is very unrestricted, allowing for any feedback polynomial, initial state or decimation factor. The...
The non-linear regression problem (univariate or multivariate) is easily posed using a graphical user interface (GUI) that solves the problem using one of the following solvers: - nlinfit: only univariate problems. - lsqnonlin: can...
Piecewise cubic spline interpolation and approximated calculation of first and second derivative at the interpolation point.
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...
In this paper i try to associate a linear dynamical system dX/dt=AX to the PDE wave equation.So i discretize the space to step h,and set the limited develpment.it is well application also for spherical wave.J.C Willems gives good standing from ODE...
Performs N-D FFT interpolation on any data for which fftn works. Will upsample by zero-filling, downsample by truncating high frequencies, or combine both up- and downsampling by dimension to allow arbitrary reshaping.
IIR Increases the resolution of an image by interpolation B= IIR(inputfile,f) returns the image stored in file 'inputfile' with resolution increased by factor f in both dimensions. 'filename' must be a valid graphic file (jpg, gif, tiff,...
Interpolates a tridimensional function and calculates a parabolic approximation to first and second derivatives at the interpolation points.
Companion software for the Elementary Linear Algebra, 3e book by Roland Larson & Bruce Edwards
This is a basic textbook for linear algebra, combining the theory with the applications.
Approx a point-defined function using Lagrange polinomial interpolation method
This is the local linear version of the kernel smoothing regression function: http://www.mathworks.com/matlabcentral/fil...objectType=FILE
The local linear estimator improves the regression behaviour near the edges of the region over... |