代码搜索结果

function [x,P] = k_updatm(x,P,A,b,R,Q) %K_UPDATM Kalman update for matrix % Allows for system covariance Q % Allows for observation covariance R %Kai Borre, February 21, 1999 om

function pos = k_point(pos,pr,sv,time) % K_POINT Prepares input to the Kalman algorithm for finding % the final position of a receiver. The inputs are % preliminary station coordinates ca

function [x,P] = k_updatm(x,P,A,b,R,Q) %K_UPDATM Kalman update for matrix % Allows for system covariance Q % Allows for observation covariance R %Kai Borre, February 21, 1999 om

% k-means - K-means clustering % (C) 2000.06.28 Kui-yu Chang % http://lans.ece.utexas.edu/~kuiyu % This program is free software; you can redistribute it and/or modify % it under the terms of the G

function [features, targets, label] = k_means(train_features, train_targets, Nmu, region, plot_on) %Reduce the number of data points using the k-means algorithm %Inputs: % train_features - Input