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gmmbayestb-v0.1.tar
- This package contains Matlab m-files for learning finite Gaussian mixtures from sample data and performing data classification with Mahalanobis distance or Bayesian classifiers. Each class in training set is learned individually with one of the three
plotImpulse
- This function plots a Gaussian impulse response, unit impulse and the convolution/deconvolution of both using MATLAB s filter . Specifically it uses filter rather than deconv to do the deconvolution and thereby returns the original Gaussian
58673
- discrete fourier transform low high pass filter. in matlab The following Matlab project contains the source code and Matlab examples used for discrete fourier transform low high pass filter.. function [g] = FFTPF1D (X,binsize, f, P) Discrete Fou
data
- This singleton can be used for logging data for offline processing. Data logged with it can conveniently be parsed and processed with e.g. Matlab.
code-(2)
- Using MATLAB tools for MLP NNs (e.g., newff, …), design a two-layer feed-forward neural network as a classifier to categorize the input geometric shapes. - The snapshot and bitmap of shapes are given: - Training shapes: shkt.bmp - Training p
package_emd
- 基于matlab的EMD(经验模态分解)(It gives some files on EMD by the team of G Rilling,and it show the algorithm on EMD in detail.)