Results 11 to 20 of about 50 results found for 'gauss function quadrature matlab' open source codes and projects!
to do that, we will use a 2d-gaussian function:.... the gaussian function. now, let's define this gaussian function. a gaussian curve has 3 parameters: an intensity, a center,
a gaussian blur is the result of blurring an image by a gaussian function. it is a widely used effect in graphics software,... applying a gaussian blur to an image is the same as convolving the image with a gaussian function; this is also known as a two-dimensional weierstrass transform.
so the same code will work the same way on different architectures. from a mathematical point of view, each blob is considered as an implicit gaussian function. all the blobs are added into a potential field (here, described by the main image img). then,
performs a gaussian function of any positive order. computes the gaussian function in 1d:. exp(-log(2)*(2*(x-x0).... log is the natural log. matlab 7.4 (r2007a) 1d, gaussian function, integer order, mathematics .
generates a 'radial' gaussian function in 2d of any positive integer order. calculates a rotated 2d gaussian (cylindrical). y = gauss2d_r(x, y,... y = ((0:ny-1)*dy - y0) * ones(1, nx);. matlab 7.4 (r2007a) 2d, gaussian function, integer, mathematics, radial .
bi-dimensional gabor filter with dc component compensation. this version of the 2d gabor filter  is basically a bi-dimensional gaussian function centered at origin (0,0) with variance s modulated by a complex sinusoid with polar frequency (f,w) and phase p described by the following equation:.
a straight-forward java implementation of a mixture model with pluggable mixture functions, e.g. a mixture of gaussian functions. the number and dimensionality of the mixture functions is not limited. all critical calculations are performed in log-space. .
demonstrates the abilities of matlab functions lsqcurvefit, fmincon and fminsearch to fit complex mo. how to fit a 2d gaussian function to noisy data in matlab? or data with another number of dimensions and arbitrary fit function?.
% 'nearest' - nearest neighbor. % 'linear' - bilinear. % 'cubic' - bicubic. % 'spline' - spline. % example:. %. % % create a 2d gaussian function. % h = fspecial('gaussian',[31,31],5);. % % resample it at a smaller pixel size. % nh = imresample([1,1],h,[0.2,0.2],'spline');.
gaussian, linear, cubic, thinplate. 2. smoothing level: (must be a positive scalar). rbfcreate(x, f ,'rbfsmooth', 0.1);. 3. multiquadric and gaussian functions have definable constants. rbfcreate(x, f ,?rbfconstant', 0.1);.
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