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www.eeworm.com/read/168216/9933749
changes
Changes from version 1.0.0 to 1.0.1
- Added copyright lines in all files
- Added README file
- Added Changes file -- :)
- Added shortprint/ directory (we forgot about it)
- Fixed problem with sc
www.eeworm.com/read/362246/10010330
m tune_ocr.m
% TUNE_OCR Tunes SVM classifier for OCR problem.
%
% Description:
% The following steps are performed:
% - Training set is created from data in directory ExamplesDir.
% - Multi-class SVM is
www.eeworm.com/read/359373/10153220
m bookdemo.m
% PURPOSE : We address here a nonlinear non-Gaussian problem using
% the standard particle filtering algorithm.
% For more details refer to the introduction of our book:
% Sequential Monte Carlo in P
www.eeworm.com/read/359005/10172189
m invkine.m
function invkine(action)
%INVKINE Inverse kinematics of a robot arm.
% INVKINE opens a window for animation of the inverse kinematics
% problem of the two-joint robot arm system. The ellipse i
www.eeworm.com/read/356682/10222952
m dirprob.m
echo on
%--------------------------------------------------
% DirProb
% Example direct geodetic problem. Computes
% lat,lon,ht of 2nd point from distance,azimuth,
% vertical angle from 1st poin
www.eeworm.com/read/280595/10312184
m tune_ocr.m
% TUNE_OCR Tunes SVM classifier for OCR problem.
%
% Description:
% The following steps are performed:
% - Training set is created from data in directory ExamplesDir.
% - Multi-class SVM is
www.eeworm.com/read/425546/10349073
m demhmc2.m
%DEMHMC2 Demonstrate Bayesian regression with Hybrid Monte Carlo sampling.
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by samplin
www.eeworm.com/read/425546/10349228
m demmlp2.m
%DEMMLP2 Demonstrate simple classification using a multi-layer perceptron
%
% Description
% The problem consists of input data in two dimensions drawn from a
% mixture of three Gaussians: two of w
www.eeworm.com/read/161189/10439619
m ilaplace.m
function [A,b,x,t] = ilaplace(n,example)
%ILAPLACE Test problem: inverse Laplace transformation.
%
% [A,b,x,t] = ilaplace(n,example)
%
% Discretization of the inverse Laplace transformation by me
www.eeworm.com/read/161189/10439871
m quadlin.m
%
% [x,lambda]=quadlin(Q,A,b)
%
% Solves the problem:
%
% min (1/2) x'*Q*x
% Ax=b
%
% where Q is assumped to be symmetric and PD, and the rows of A are
% linearly independent.
%
functio