text stringlengths 8 6.12M |
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function loc=LMSloc(X)
%Syntax: loc=LMSloc(X)
%_____________________
%
% Calculates the Least Median of Squares (LMS) location parameter
% of the columns of a matrix X. If X is a vector, it returns the LMS
% location parameter of its components. If X is a scalar, it returns
% X.
%
% loc is the LMS estimated v... |
function h = hog_norm_hist(block, n, filter, dir_edges)
x_grad = conv2(block, filter, 'same');
y_grad = conv2(block, filter', 'same');
angles = atan2(y_grad,x_grad);
mags = sqrt(y_grad.^2+x_grad.^2);
[N,B] = histc(reshape(angles,[n^2 1]), dir_edges);
h = zeros(length(dir_edges)-1,1);
mags = reshape(mag... |
function plotCylinderTest
%Plots the snake as a cylinder, no animation.
%THIS WILL NOT WORK UNLESS YOU ADD "virtual_chassis" TO YOUR PATH
close all
plt = CylinderPlotter();
kin = HebiKinematics;
kin.addBody('FieldableElbowJoint');
kin.addBody('FieldableElbowJoint');
kin.addBody('FieldableElbow... |
function [segEncontrados,finales,vecs,centros,segids,resconexion,resol] = esquinasv(puntos,segmentos,conexion,radio,maxangdif)
vecs = zeros(length(segmentos),2);
centros = zeros(length(segmentos),2);
finales = zeros(length(segmentos),2);
resol = zeros(length(segmentos),2);
segids = zeros(length(segm... |
function cameras = random_cameras_on_sphere(n, radius, origin)
cameras = zeros(3, 4, n);
for t = 1:n
cameras(:, :, t) = random_camera_on_sphere(radius, origin);
end
end
|
function [R1, R2] = get_relative_imrefs(info1, info2, reg_type)
%% Get relative spatial references for the two images to be registered
% Ambre's edits from the original script:
% modified to allow for spatial references of 4D timeseries data to be extracted
% reg_type to perform 2D to 2D reg on 3D data if slice ... |
function d = getPushDisturbance(t,D)
% d = getPushDisturbance(t,D)
%
% This function computes the horizontal and vertical push disturbance,
% given the start time (D.t0) end time (D.t1) and magnitude (D.fx, D.fy)
% of the push. All inputs are scalar.
%
if D.t0 < t && t < D.t1
d = [D.fx; D.fy];
else
d = [0;0];... |
function sFiles = compute_head_model(sFiles,meg,eeg);
% function sFiles = compute_head_model(sFiles);
%
% meg = 1: none
% meg = 3: overlapping spheres
% meg = 4: OpenMEEG BEM
% eeg = 1: none
% eeg = 2: 3-shell sphere
% eeg = 3: % OpenMEEG BEM
% Process: Compute head model
sFiles = bst_process(...
'CallProcess', '... |
classdef SimulationReader < handle
% SR = SimulationReader(simFile) creates a new instance of class
% SimulationReader.
%
% SimulationReader can be used to read a simulation log file that is
% created by default ("results/sim_[netName].dat") or by specifically
% calling method CARLsim::saveSimul... |
function varargout = MIB(Operation,Global,input)
% <problem> <MOP in IntelligentBuildings>
% IntelligentBuildings for Evolutionary Multi-Objective Optimization
% operator --- EAreal
switch Operation
case 'init'
Global.M = 3;
Global.D = Global.M + 9;
Global.... |
function util_plot_curve(x1,y1,x2,y2, lwidth,lcolor,lalpha, min_radian,modified_length, method)
%UTIL_PLOT_CURVE Plot a curve from (x1,y1) to (x2,y2)
% Input:
% x1,x2,y1,y2: Position of (x1,y1), (x2,y2)
% lwidth: Line width
% lcolor: Line color, [r g b; r g b] -> [begi... |
% computes the trajectory of the robot by chaining up
% the incremental movements of the odometry vector
% U: a Nx3 matrix, each row contains the odoemtry ux, uy utheta
% T: a (N+1)x3 matrix, each row contains the robot position (starting from 0,0,0)
function T = compute_trajectory(U)
% initialize the trajectory matr... |
function [ maxNo,maxYes ] = inferensi( tabFuzzyEmosi,tabFuzzyProvokasi )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
hasilInferensiNo = [];
hasilInferensiYes =[];
maxYes = 0;
maxNo = 0;
if(tabFuzzyEmosi(1,1) == 1 && tabFuzzyProvokasi(1,1) == 1) % rendah and... |
function [x_db, y_db, pupil_db] = Deblink(x,y,pupil,verbose)
%DEBLINK Summary of this function goes here
% Detailed explanation goes here
% Blink duration is Rhesus Macaques is aproximately 200ms on average(Tada et al.
% 2013 - PLoS ONE)
% We find the peak of the differential of the X data. Whenever there is
... |
function plot_predictions(x, Y, D, Ypred, Vpred, ind_kf_train, ind_kx_train)
M = size(Y,2);
if (D==1)
figure;
plot(x,Y);
hold on;
plot(x,Ypred, 'x', 'MarkerSize', 10); %
for j = 1 : M
idx = find(ind_kf_train == j);
xx = x(ind_kx_train(idx));
yy = Y(ind_kx_train(idx),j);
... |
function [q, ele]= pqPop(q)
%³φΆΣ
ele = q{1};
q(1) = [];
end |
%%
% RBE3001 - Laboratory 1
%
% Instructions
% ------------
% Welcome again! This MATLAB script is your starting point for Lab
% 1 of RBE3001. The sample code below demonstrates how to establish
% communication between this script and the Nucleo firmware, send
% setpoint commands and receive sensor data.
%
% IMPORTA... |
% 这份代码是在SDPC源代码的基础上改进添加的
%
% 运行Main.m脚本文件可以看到5种算法('BCS-SPL+SDPC','BCS-SPL+DPCM', 'BCS-SPL+SQ', 'BCS-SPL+SDPC_ch8','BCS-SPL+SDPC_ch16')
% 的图像率失真图，后续继续要做的话可以拿到预测块的相关性信息，标志位的分布图。
%
% 改进的核心代码为satisfy, satisfy16分别是找到当前块领域的8个块的index和16个块的index
|
function [f,g] = primalProblemUncMultiRegGeneral(w,X,XX,A,AA,p,b,ref,exv,alpha1,alpha2,ro,numSamples,sessionNum,numEigs)
f = 0;
g = [];
for i = 1:sessionNum
wi{i} = w(numEigs*(i-1)+1:numEigs*i,:);
ui{i} = X{i}' * wi{i}; us_i{i}=ui{i}.^2; ex_i{i}=exp(-us_i{i}/2); gaussi{i} = ui{i}.*ex_i{i};
... |
%% Extract data as CSV
% This script exrtacts the experimental results as well as the experimental
% information (time, inputs) and generates a csv file.
% --------> direct: Directory path where the images are saved (string)
% --------> ident: identifier that will be added to the matlab structure
% containing all the... |
function slider_plot( directory )
% Get .xxx files in directory
files = dir([directory '*.mcd']);
% to actually get the filename use this:
file_name = [directory files(1).name];
% random data
data = [1 2 3 4 5 6 7 8; 8 7 6 5 4 3 2 1];
% figure spacing and sizing stuff
... |
function [p th]=btt(nm,hm,am,a,b)
% Bradley Taylor on home/away/neutral games
% nm neutral matrix of games, hm home, am away
% output vector of team strengths
n=size(nm,1);
MINDIFF=1e-6;
p=ones(n-1,1);
theta = 1; % parameter for home advantage, set to no effect to start
diff=1e100;
difft=1e100;
totmat=nm+hm+am;
Wh=am... |
% This is main code for RC
x = load('lienard_intermittency.dat');
data = x(:,2);
inputData = (data(1:end-1));
targetData = (data(2:end));
washout = 0;
trlen = 45000; tslen = 5000-1;
trX{1} = inputData(1:trlen);
tsX{1} = inputData(trlen+1:trlen+tslen);
% Remove initial points from target!
trY = targetData(1+washo... |
function obj = setMass(obj, mass)
% sets the link mass
%
% Parameters:
% mass: the link mass @type double
assert(isreal(mass) && mass >= 0,...
'The mass of the link must be a positive real scalar value.');
obj.Mass = mass;
end |
% single weighted: weighted least square and sparse coding framework
function X = LSSC_DC(Y, par)
% initialize D
[U, ~, V] = svd(Y * Y', 'econ');
D = V * U';
f_curr = 0;
% update W for weighted sparse coding
Wsc = par.lambdasc / par.Wls^2;
for i=1:par.WWIter
f_prev = f_curr;
% update C by soft thresholding
... |
function [Mreordered,Mindices,cost] = reorder_matrix(M1,cost,flag)
%REORDER_MATRIX matrix reordering for visualization
%
% [Mreordered,Mindices,cost] = reorder_matrix(M1,cost,flag)
%
% This function rearranges the nodes in matrix M1 such that the matrix
% elements are squeezed along the main diagonal. Th... |
%Full Body LG EKF and EUL EKF for the boxing CMU data
%Load up the generated model
clear vis; close all;
% EKFCodePath = 'C:\Users\kgwester\Documents\ResearchWork\CloudSLAM\lg_persontracking\';
EKFCodePath = 'C:\Users\kgwester\Documents\ResearchWork\MatlabWrapper\';
addpath(genpath(pwd));
addpath(EKFCodePath);
visua... |
f = figure;
set(f, 'position',[0 0 1106 420])
uicontrol('style','text','string','Open Requests','position',[15 400 1076 16],'fontunits','normalized','fontsize',.8,'HorizontalAlignment','Center');
cnames = {'Requestor','DOR','#Requested','#Filled','Age','Line1','Genotype1','Line2','Genotype2','Line3','Genotype3','Comm... |
clear,clc
input_path='../../input/';
%input parameters
z_o=0.02;
nsteps=30000;
dt=0.05;
Nx=96;
Ny=48;
Nz=30;
hprocs=1;
l_r=2;
z_i=20;
u_star=0.5;
l_z=60;
press_cor=3;
f_p=0;
press_step=5;
u_avg=2;
verticalBC=0;
nu=0;
theta_mean_wind=0;
cs_count=2;
nframe=0;
c_flag=1;
Cd=0.15;
h_canopy=20;
npart=0;
scalarcount... |
function angels=Numerische_kin(pos)
%% Diese Programm berechnet die Winkel zu einer Position numerisch. Es stellt eine alternative zum algebraischen Ansatz dar.
%%In dieser Iteration wird jedoch nicht auf kollisionen oder die
%%Beschrängkungen denen die Winkel unterliegen geprüft!!.
a=166;
b=218;
c=130;
x=pos(2)... |
function [in_bounds,v_13,v_17,v_19,v_23,v_24] =...
nonviolationfraction47(pwr_case, pv_cap, irrad_time,pct_load, options)
% Function takes case56customv2 and solar irradiance data as inputs. The
% resistance at bus 45 is altered to account for the installed solar
% capacity. It
% then calculates the power flows in ... |
% See demo_nmf.m for an example of how to use this function.
%
% Steps I took to compile MEX file on midway2:
%
% module load gcc/6.3.0
% module load matlab/2018b
% mex nmfccd_helper.cpp
%
function [A, B, f] = nmfccd (X, A, B, tol, maxiter, verbose)
% Handle optional arguments.
if nargin < 4
tol = 1e-6... |
function [w, b] = TrainSVM(Xtrain, ys, lambda, maxIterations)
[d, n] = size(Xtrain);
w = zeros(d, 1);
b = 0;
t = 1;
for e=1:maxIterations
inds = randperm(n);
for i=inds
eta_t = 1 / (lambda * t);
w = w * (1 - eta_t * lambda); % common update step
v = ys(i) * (w' * Xtrain(:, i) + b);
... |
%==========================================================================
% 1D Poisson_kp solver, @Polito S.Z 05/2014
%- coupled with 8-band kp, using full set of WFs to compute charge
%- underrelaxation mixing used to achieve convergence
%- Broyden's second algorithm
%==========================================... |
function out = KableLab_RISK_EU(choseRisky,CertainAmt,RiskyAmt,Risk,RT)
% choseRisky = 1 if risky option is chosen, 0 if certain option is chosen. Others are no choices
% Risk needs to be between 0 and 1. All inputs must be column vectors. 2016-Jun-07, Arthur
out.percentCertain = (sum(choseRisky == 0) / length(chose... |
function [ snpo1] = t2s_0415( tnpi1)
%UNTITLED4 Summary of this function goes here
% Detailed explanation goes here
Tout = tnpi1;
TUL = Tout(1:2,1:2); % upper left s-matrix
TUR = Tout(1:2,3:4); % upper right s-matrix
TLL = Tout(3:4,1:2); % lower left s-matrix
TLR ... |
function [template bx by] = learnColor(folder,sxBySy,ax,gain_thres)
load config1
ay = ax;
nF = 20;
saturation = 0.001;
% (bx, by) should be adaptive per category
load storedColorHI storedHI
% =================================================================
% Input training images
% --------------------------------... |
function SimScore = SequenceSimilarity(s1, s2)
%% if s1 == s2
% SimScore = 1
[Score, Alignment] = nwalign(s1, s2);
SimScore = Score;
% |
function [E,T,U] = autoGen_energy(q1,q2,dq1,dq2,m,I1,I2,R,g)
%AUTOGEN_ENERGY
% [E,T,U] = AUTOGEN_ENERGY(Q1,Q2,DQ1,DQ2,M,I1,I2,R,G)
% This function was generated by the Symbolic Math Toolbox version 6.3.
% 21-Apr-2016 17:26:09
t2 = dq2.^2;
t3 = dq1.^2;
t4 = sin(q1);
t5 = I1.*t3.*(1.0./2.0);
t6 = I2.*t2.*(1.0.... |
N = 101;
t = 0:N-1;
% %p_sys = [0.0; 0.8];
% %p_sys = [0.3; 0.5];
% %p_sys = [0.3; 0.9];
% p_sys = [0.6];
% %p_sys = [-0.5 + 0.5j, -0.5 - 0.5j, 0.7];
%
% b = [1];
% %b = [length(p_sys) sum(p_sys)]
% %b = [1 0.5];
% %b = [1 0];
% a = poly(p_sys);
% Fs = 1;
% sysd = tf(b, a, Fs);
% h = impulse(sysd, N-1);
%% pole grid
... |
function [J,Z,X]=initialize()
% This function is designed to independently assign motor positions and
% filament positions (randomly) within the hexagon.
% 01/26/14
% Callie J Miller
% USES THE FOLLOWING FUNCTIONS: hexagon.m
global M N L cote x0 y0 xhex yhex
%Pre-Allocate
J=zeros(2,M);
Z=zeros(5,N);
X=zeros(4,M);
%set... |
function [L_matrix,R_matrix,ILD_matrix,ABI_matrix,ITD_matrix,HRTFinfo] = get_HRTFinfo2(bird_number,...
hrtf_file,...
hrtf_file2,...
get_HRTF,...
get_ITDmatrix)
%Directories & files
data_directory = ['d:\mlspezio\physioldata\' num2str(bird_number) '\'];
cache_directory = ['d:\mlspezio\matlab\script... |
df=zeros(100);
kk=1;
for ii=0:0.05:4.95
df(kk)= (sin(ii+0.05)-sin(ii))/0.05;
kk=kk+1;
end
plot(0:0.05:4.95,df);
hold on
rr=0:0.05:4.95;
plot(rr,sin(rr));
plot(rr,cos(rr));
|
function [ WSN_PCAWavelet_Predict_Normalized_DataCell,WSN_PCAWavelet_TargetOriginal_DataCell ] = WSN_PCAWavelet_DataPreparation_Prediction( SensorDataMatrixLabelled_Cell, WindowSize, ContinuousWindow_YesNo, Wavelet_Level, Wavelet_Filter, FeatureEnergySignal_YesNo, Normalization_YesNo, Normalization_TrainPredict, Train... |
%Training the data
clc; clear;
datapath = fullfile('/Users/juliemallinger 1/Desktop/newcovidimages_2/');
imds = imageDatastore(datapath, 'IncludeSubfolders', true, 'LabelSource', 'foldernames');
rng(0);
imds.ReadFcn = @customReadDatastoreImage;
imds = shuffle(imds);
[imdsTrain, imdsVal, imdsTest] = splitEachLabe... |
function A = meanProd(mean, hyp, x, i)
% meanProd - compose a mean function as the product of other mean functions.
% This function doesn't actually compute very much on its own, it merely does
% some bookkeeping, and calls other mean functions to do the actual work.
%
% m(x) = \prod_i m_i(x)
%
% Copyright (c) by Carl... |
function updateAnnotations(trialnums,dataindex)
for i = 1:length(trialnums)
testfolder = dataindex{find(cell2mat(dataindex(:,2)) == ...
trialnums(i),1,'first'),1};
filename = ['../../../data/', testfolder, '/', ...
num2str(trialnums(i)),'-annotations.csv'];
disp(trialnums(i))
if(exist(... |
function d=derivPoly(p)
%disp('poly')
%disp(p)
d=[];
for i=[1:size(p,2)]
dn=[];
for j=[2:size(p,1)]
dn=[dn;p(j,i)*(j-1)];
end
if(size(dn)==0)
dn=0;
end
d=[d dn];
end
%disp('deriv')
%disp(d)
end
|
% The first line of code (comments don't count) of any
% function file *MUST* be of the form
%
% function output_names = function_name(variable_names)
%
function P_out = logistic_rhs(p, r, K)
% The word "function" has to come first.
%
% We decided to call our output P_out. This name is usually
% not particularly... |
%% Script for GEMs & Git Workshop 2018-03-23
clear all;
%% Reading the model
modelYeast=readCbModel;
% Choosing a reaction to delete
printRxnFormula(modelYeast, 'rxnAbbrList', 'r_0005');
%% Deleting a reaction
modelYeast = removeRxns(modelYeast, 'r_0005');
% Exporting the new version of the model for commiting to the... |
function images = process_dcm_images_for_registration(d, post_crop_width, post_crop_height)
directory = dir(d);
w_before = 960;
pre_crop_width = 600;
pre_crop_height = 500;
pre_crop_rect = [w_before/2-pre_crop_width/2 100 pre_crop_width-1 pre_crop_height-1];
l = 0;
files = {};
... |
function def = readProblemDef(filename)
fid = fopen(filename);
def = [];
while ( ~feof(fid) )
line = fgetl(fid);
% Ignore empty lines
if ( isempty(line) )
continue;
end
% Ignore comments
if ( line(1) == '#' )
continue;
end
token = sscanf... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%% Differential Dynamic Programming %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%% Course: Robotics and Autonomy %%%%%%... |
classdef MotionHistory < handle
%MOTIONHISTORY Class containing the history of the arm's shape
% This is a handle class, i.e. objects are always passed by reference
% rather than value. As a result the values can be efficiently
% updated on the go without copying the whole history.
proper... |
for i=1:10
clear;
digitDatasetPath = fullfile('D:\bpe');%change as necessary
numTrainFiles = 0.8;%change as necessary
imds = imageDatastore(digitDatasetPath, ...
'IncludeSubfolders',true,'LabelSource','foldernames');
[imdsTrain,imdsValidation] = splitEachLabel(imds,numTrainFiles,'randomize');
imageSize = ... |
function [ raiz ] = PuntoFijoSEL( u, v, x0, y0, error )
syms x;
syms y;
e = 100;
fx = diff(u,x);
fy = diff(u, y);
gx = diff(v,x);
gy = diff(v, y);
while e > error
if (abs(subs(subs(fx,x,x0),y,y0)) + abs(subs(subs(gx,x,x0),y,y0)))>= 1 || (abs(subs(subs(fy,x,x0),y,y0)) + abs(subs(subs(gy,x,x0),y,y0))) ... |
function ProjData = EllipseProj(Phantom, structProj)
N_Ellipse = size(Phantom,1);
ProjData = zeros(structProj.nAngle,structProj.nChannel);
fAngle = 2 * pi/structProj.nAngle;
fDetWidth = 2 / structProj.nChannel;
for ii = 1:N_Ellipse
A = Phantom(ii,1); % Amplitude change for this ellipse
as... |
function [dist1_appr, dist2] = dist_appr(feat1, feat2,w)
%% Initializing
n1 = size(feat1,1);
n2 = size(feat2,1);
%
dist1_appr = zeros(n1,n1);
dist2 = zeros(n2,n2);
%% Computing the approximated distances betwen selected feature points of img1
for i=1:n1
for j=i+1:n1
% if i ==j, continue; end; ... |
clear
clc
tic
%--------------------------------------------------------------------------
% initial values
% Number of iterations and samples
n = 20000;
% L is length of Filter
L = 16;
% SNR_db : [5 10 15 25]
SNR_dB = 5;
% thereshold parameter (for high SNR we should set epsilon in range of (0:0.3))
% t... |
function d = getDSE2(g)
% returns the distance of the associted g
d = g.d;
end |
function result= check_col(matrix,i ,j ,num)
%input: the unsolved sudoku puzzel, namely 'matrix'; position index i,j; and
%possible values
%output: whether the possible values can be filled in the current cell or
%not
%This function returns a result (true or false) to determine whether a
%blank cell can be filled... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%% Specify project path
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
clear; close all
root_path = utils.get_project_path();
export_path = fullfile(root_path,'export','opt');
if ~exist(export_path,'dir')
mkdi... |
clear;
clc;
% =================================3.2=====================================
% -------w1------- -------w2------- -------w3-------
% x1 x2 x3 x1 x2 x3 x1 x2 x3
SAMPLES = [-5.01 -8.12 -3.68 -0.91 -0.18 -0.05 5.35 2.26 8.13;
-5.43 -3.48 -3.5... |
function [ResultsAverageActivity, ResultsAverageActivityItemsCount, ResultsAverageActivityOnlyNum]=AverageActivity_cue_image_SelVoxProperGLM(ActiveVoxels,MMor5cond,med_more,engram)
%we decided to report the reinstatement analysis based on selecting
%2highThirds. These were selected from ProperGLM. To get activation to
... |
function index=findmatches(source, target)
% index=findmatches(source, target)
% Find the index of a value in Target (if any) that matches a value in Source
% for each value in Source
% Linearize arrays
source=source(:);
target=target(:);
% Allocate output varible
index=NaN(size(source));
if isnumeric(source) && isn... |
function hexagi_behaviour_transfer_movementVSstandstill(Subjects, ProcPath)
% Get player locations and yaw only for movement timepoints, i.e. take out standing still
% Only for the transfer phase
% Includes times between the trials (it's the entire run)
% Player transfer move includes backward movements
if narg... |
function Xx = accept_reject(func)
test_x = linspace(0,1);
A = max(func(test_x));
% sample random number according to well-chosen distribution
X = rand();
% sample uniform random number
U = rand();
% acceptance criterion
if U <= func(X)/A
% accept
Xx = X;
el... |
function allFactors = BuildOCRNetwork (images, imageModel, pairwiseModel, tripletList)
% This function constructs the Markov network for one word by putting
% together the full list of different types of factors.
%
% Input:
% images: A struct array of the images for each character in the word.
% imageModel: The pro... |
function [ b ] = is_transition_matrix ( P )
%Проверяет является ли матрица матрицей переодов ( сумма в строке равна 1)
sum = 0;
b = true;
if ( size(P,1) ~= size(P,2) )
b = false ;
display( ' Matrix is not matrix of Markov transition');
end
for i = 1 : size(P,1)
... |
% This version is for a KMR style 1-D taper where you compute the undulator
% K step-by-step by specifying a constant resonant phase a priori
total_simtime = 0;
% Time dependent case
if(param.itdp)
for ij = 1:param.Nsnap-1 % takes Nsnap snapshots along length of undulator
tstart = tic;
firstslice=ij;
... |
function plot_robot( robot,x )
[pT,pHip,p1R,p2R,p3R,p4R,p1L,p2L,p3L,p4L]=robot.get_joint_position(x);
[p1Rm,p2Rm,p3Rm,p4Rm,p1Lm,p2Lm,p3Lm,p4Lm]=robot.get_motor_joint_position(x);
lw=0.1
plot([pT(1),pHip(1)],[pT(2),pHip(2)],'k','LineWidth',lw);
hold on
plot([p3R(1),p1R(1),pHip(1),p2R(1),p4R(1)],[p3R(2),p1R(2),pHip(2)... |
function clearActionFromPopup(source,~)
h = guidata(source);
if(~isempty(h.Action))
h.Action=[];
clearAction(h.guifig,[]);
end |
% calculate in-focus image for one coherent beam
% the direction of the beam specified direction is
% given by kx and ky both can assume values in [-.5 .. .5]
% example: vars; memi(0,-.5,rr(s)<20,rr(s)<20)
function u5 = memi(kx,ky,tm,tl)
u0=exp(2*pi*1i.*(kx.*xx(tm)+ky.*yy(tm))); % illumination
u2=ft(u0.*tm); % lco... |
function [Total_DemandKWh,Total_NetKWh,Total_SolarKWh,Total_BatteryKWh,Demand_tRMDkW,Batt_tRMDkW,PV_tRMDkW, Net_tRMDkW, HMP, HMP_Batt, HMP_PV, tRMD, tHMP, checkRMD, checkHMP, dataOK] = peakCalcs(DATA,HourBegin,HourEnd,Daynum)
%peakCalcs Calculates microgrid performance indicators for each day during
%peak hours.
% Ca... |
function p=femwind_with_graphics_test
disp('femwind_with_graphics_test')
p=femwind_main
p.graphics=2;
p.st_contour=1
p.sc_all = 1;
p.sc2_all = [1 2];
p=femwind_main(p);
rate = [0.066948270621534 0.069839695192657];
if all(abs(p.rate - rate) < 1e-8)
disp('convergence rate tests OK')
else
error(sprintf('somet... |
% x_pred Dynamic variable
x_pred_par = [1 0 0 0]';
% A Static variable
A_par = [1 -0.8 -0.2 -0.01 0.05]';
% B Static variable
B_par = [0.100 0.025 0.010 0.005]';
% MSE_pred Dynamic variable
MSE_pred_par = 100;
% C_w; Static variable
C_w_par = 4;
% C_u; Static variable
C_u_par = 1; |
%need an X and a w
offset = 0; % This is the virtual gnd of the mirror.
y_model = X*w' + b; % ground truth, actual matrix multiplication
y_model = y_model'; %transpose
y_true_false_model = y_model >= 0; %if >=0, set as 1. else set as 0.
res_model = y_true_false_model == y_actual; %test. will compare
accuracy_... |
function [res psl the_min the_max] = isl(af)
sidelobes = 0;
mainlobe = 0;
s = size(af);
psl = 0;
% loop across the Doppler axis
for jj=1:s(1)
% figure out the mainlobe boundary for this slice
the_diff = diff(af(jj,:));
l = length(the_diff);
[mainlobe_max, mid] = max(af(jj,:));
the_max... |
function runintro()
BrusselatorLOD2D_IFETDRDP(0.01,101,0.05,1,'intro1.eps',40)
BrusselatorLOD2D_IFETDRDP(0.01,101,0.1, 2,'intro2.eps',40)
BrusselatorLOD2D_IFETDRDP(0.01,101,0.5, 3,'intro3.eps',40)
BrusselatorLOD2D_IFETDRDP(0.01,101, 2, 4,'intro4.eps',40)
end |
clear all
%run the analysis of the GSMP challenge
gsm_setGlobalVariables
ak_step1a
ak_step1b
ak_step1c
ak_step2a
writeEPS('gsm_usrp_synchronism'); %,'font12Only');
ak_step2b |
%clc;
%clear;
Load_DATCOM_data76;
%%% CL elevator %%%
csvArrayData = table2array(csvData);
Y_cl = zeros(1);
for i = 1:length(data.delta)
finder = find(csvArrayData == data.delta(i));
Y_cl(i) = csvArrayData(finder(1), 2);
end
X = data.delta; X = X';
Cl_elevator = fit(X,Y_cl','poly1');
Cl_delta_elevator = Cl_elev... |
clear all;
clc;
%% online algorithm
global A B Q R K ;
A = [0 0 1 0;
0 0 0 1;
-1.7117 0 -0.3249 0;
0 0 0 -1.004] ;
B = [0 0;
0 0;
0.0503 0.0959;
-0.1228 0.1] ;
Q = diag([200 75 0 0]) ;
R = 0.005*eye(2,2) ;
%to find the optimal feedback control law k.
%K = zeros(2, 4) ;
K = ... |
clear;clc;close all;
% Created Sep 16 by HG
addpath('../SRC');
load AllResults.mat
load DoBResults.mat
load HDResults.mat
%% Reading data / modeling / analysis based on Pzf data from John Tune:
SpecimenPairs = [2,2;
3,1;
4,3;
5,4]; % First column Control, Second column Anemia and Anemia+Dobutamine case n... |
function [mbest, mu, sigma] = exhaustiveSearch(models, scoreFn, varargin)
% Exhaustively search for best model: mbest = arg max_i scoreFn(models{i})
% If useStdErrorRule=1, we pick the simplest which is within
% 1 std error of the best
N = length(models);
mu = zeros(1,N); sigma = zeros(1,N);
[maximize, useStdEr... |
function [H,phi] = fftdb(x,Nfft)
%============= This function discards values in FFT bins for which
%magnitude > a threshold
if nargin < 2
Nfft = length(x);
end
F = fft(x,Nfft);
F = F(1:Nfft/2+1); % f = 0,...,Fs/2;
phi = angle(F); % phase in [-pi,pi]
F = abs(F)/Nfft*2; % normalize to FFT length
%------------ r... |
function x = gensig(params,t)
% GENSIG Generate signals for signal manipulator
%
% This generates periodic time signals from parameters.
% The following signals are supported:
% - cosine wave [1 T0 A t0]
% - rectangular pulse train [2 T0 A t0 tau]
% - triangular pulse train [3 ... |
function [fnorm,Deriv] = getgradients(X, N, myFx)
for i=1:N
xx = X(i);
h = 0.01 * (1 + abs(xx));
X(i) = xx + h;
Fp = feval(myFx, X);
X(i) = xx - h;
Fm = feval(myFx, X);
X(i) = xx;
Deriv(i) = (Fp - Fm) / 2 / h;
end
fnorm = norm(Deriv);
end |
function [ a ] = angle( A, B, C )
% zwarac kąt o wierzchołku w punkcie B
%wartość zwracana w stopniach
BA = [A(1)-B(1), A(2)-B(2), A(3)-B(3)];
BC = [C(1)-B(1), C(2)-B(2), C(3)-B(3)];
ca = dot(BA, BC)/(norm(BA)*norm(BC));
a = radtodeg(acos(ca));
end
|
function [] = frame_demo_by_class(data)
rng(15742);
labels = unique(data(:, 2));
pnum = 3;
figure;
page = round(size(labels, 1) / 3);
for i = 1 : size(labels, 1)
indx = find(data(:, 2) == labels(i));
% for j = 1 : pnum
disp(['a=' num2str(round(i / page + 1)) ',b=' num2str(mod(i, page) + 1)]);
f... |
function plot_output(all_candidates, ground_plane_regions, ground_plane_regions_adjusted, cameras, show_candidates, show_ground_truth, candidates_frame, draw_regions, tracklets, nohomocorrec_tracklets, gnd_detections,overlap_adjusted, num_frames,debug_gnd_truth_frames,start_frames)
%openfig(floor_image); hold on;
... |
close all;
clc;
load('data_5_1.mat');
%1.) Scatter Plot:
figure;
plot(LOS_train(1,:), LOS_train(2,:), 'r o');
hold on;
plot(NLOS_train(1,:), NLOS_train(2,:), 'b o');
legend('LOS', 'NLOS');
title('Scatter Plot of training data');
xlabel('x1');
ylabel('x2');
%%
% 2.) Max Likelyhood estimation
x1NLOS = NLOS_train(... |
% Call Syntax: [S,A,IF,IF_MA] = HSA(x, SiftStopThresh, EMDStopThresh, alpha, I, beta, L, MA_len, parFlag)
%
% Description: This function perfoms EMDand demodulation
%
% Input Arguments:
% Name: x
% Type: vector (real)
% Description: original signal to decompose/demodulate
%
% Name: SiftStopThresh
% Type: sc... |
cwd = fileparts(mfilename('fullpath'));
run(fullfile(cwd, '../setup.m'))
%% basic
mag = igrf.igrf(datetime(2010,7,2), 65, 85, 0);
assert(abs(mag.north - 9295.415460) < mag.north*0.001, 'north error')
assert(abs(mag.east - 2559.7889298) < mag.east*0.001, 'east error')
assert(abs(mag.down - 59670.379598) < mag.down*0.0... |
function A = Hub(n)
A(:,:,1) = zeros(n,n);
for i = 1:(n-1)
A(1:i,:,i+1) = 1;
A(:,1:i,i+1) = 1;
A(:,:,i+1) = A(:,:,i+1).*~eye(n);
end |
% cs_sr06 - Rekonstrukcija signala kod sazetog ocitavanja.
%
% Poziva se:
% [xr,Status] = cs_sr06(yk,B);
% [xr,Status] = cs_sr06(yk,B,Ispis);
% gdje je
% yk - vektor dobiven sazetim ocitavanjem (M komponenata)
% B - matrica koja povezuje sparse bazu i ocitani vektor (M x N)
% Ispis - a... |
clear all
imgbk = imread('Pedestrian_dataBase/ped7c0000.tif');
thr = 40;
minArea = 200;
baseNum = 1350;
seqLength = 100;
% baseNum = 1374;
% seqLength = 0;
%
%imshow(imgdif)
se = strel('disk',3);
figure;
for i=0:seqLength
imgfr = imread(sprintf('Pedestrian_dataBase/ped7c%.4d.tif',baseNum+i));
hold off
... |
function [v] = elementsOf(s)
v = s.elements; |
%% Load Model
qube2_rotpen_param;
% Set open-loop state-space model of rotary single-inverted pendulum (SIP)
QUBE2_ROTPEN_ABCD_eqns;
% Display matrices
A;
B;
Q = diag([5,1,1,1]);
R = 1;
K = lqr(A,B,Q,R)
|
function BTcall(reg,adata,fdata,tdata,object)
%reg 1=channel 1, 2=channel 2, 3=channel 3,
%0 for turning on/off each channel, 1 is on, 0 is off, adata=channel 1,
%fdata=channel 2, tdata=channel 3
div = ',';
val = strcat(num2str(reg),div,num2str(adata),div,num2str(fdata),div,num2str(tdata));
write(object,val,'s... |
%product of matrix column. returns array
function f = matrixColumnProduct(A)
f = prod(A); |
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