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function Trajectoire=polynome_traj(q_0, q_int, q_fin, dq_0, dq_fin,mc,dom_tra,T);
Precision=mc*dom_tra;
q0_1=[q_0(1:2);q_0(4:5);q_0(10)];
q_fin1=[q_fin(1:2);q_fin(4:5);q_fin(10)];
dq0_1=[dq_0(1:2);dq_0(4:5);dq_0(10)];
dq_fin1=[dq_fin(1:2);dq_fin(4:5);dq_fin(10)];
%calcul des coefficients 'a' du polynome qt1(t... |
function [n,w,xi,N,dNdxi]=C3D4
%====================== ELEMENT INFORMATION =================================
%
% n=number of integration points of the element
% ncoord= numper of coordinates of the element (2D or 3D)
% nodes=number of nodes of the element
n = 1;
ncoord=3;
nodes=4;
%
%==... |
function [output_img] = Bicubic(input_img, scale)
% Get the input image size
[row, col, depth] = size(input_img);
% Calculate the output image size
row_scale = round(row*scale);
col_scale = round(col*scale);
output_img = zeros(row_scale,col_scale,depth);
% Extended fill
img = zeros(... |
close all;
clear all;
clc;
init_theta=pi;
init_theta_d=-12;
%[a c w]
motion_parameters=[-20 0.3 3];
simtime=10;
sim motion_generator.slx
%TODO
%need path visulazation with configurations and alpha (a segment may be sufficient)
figure(1)
plot(mg_simout_theta.signals.values, mg_simout_theta_d.signals.values)
ti... |
%%DAY 1: TOTAL REFLUX DISTILLATION
clear;
clc;
%%
%Use polyfit to find a' b' and c' for all components
global a1 a2 a3 b1 b2 b3 c1 c2 c3
%Use global variables so polyfit is used once
T1 = [288.15 306.30 352.35];
V1 = [107.47 109.841 116.63];
p = polyfit(T1,V1,2);
a1 = p(3); b1 = p(2); c1 = p(1);
T2 = [273.15 323.1... |
function [fibFeat stats] = processROI(IMG, imgName, tempFolder, keep, coords, distThresh, makeAssoc, makeMap, makeOver, makeFeat, sliceNum, infoLabel, tifBoundary, boundaryImg, fireDir, fibProcMeth, advancedOPT,numSections)
% processImage.m - Process images for fiber analysis. 3 main options:
% 1. Boundary analysis ... |
%{
2018-11-17 Quantify Px and Cd in Truss example
Px: (Nfail x Narea x Nload) x Nmem matrix for
(Load Dn) = [1 1;1 2;...;1 Narea;2 1;2 2;...;2 Narea;...;Nload 1;Nload 2;...;Nload Narea]
Cd: Narea x Nmem matrix
Cost matrix for decision alternatives
Fmode: Nfail x 1 vector for Failure modes
The order of e... |
function [] = load_tao(name)
s = sprintf('data\\cdf\\%s.cdf',char(name));
fprintf('\n Loading...');
ncload(s);
clear('-regexp','QT_*','ST_*');
m1 = find(T_20 > 100);
T_20(m1) = NaN;
cd('C:\dc');
s1 = sprintf('data\\mat\\%s.mat', name);
fprintf('\n Saving...');
save(s1)
a = ... |
folderprefix='C:\Users\Matthew\Documents\RbPapers\MBL_Critical_Behavior\data_repo\';
foldername={'W2_time_trace', ...
'W8.4_time_trace', ...
'W9.6_time_trace', ...
'W10.3_time_trace', ...
'W11.5_time_trace', ...
'W13.6_time_trace', ...
'W15.6_time_... |
function [g_data] = load_geometry(object)
%[g_data] = load_geometry(object)
%Loads data for constructing 3D models of the surface of the object and
%the stones inside it.
%Parameter 'object' can have values 1 and 2.
%
%Returns a struct which has the following components:
%x_ref, y_ref and z_ref are the coordina... |
function [RMS_p,Max_p,RMS_pnorm,Max_pnorm] = spinaldata(Nx,Ny,pmax_data,prms_data,medium_img)
Num_spine_pts = 0;
RMS_p = 0;
Max_p = 0;
RMS_pnorm = 0;
Max_pnorm = 0;
%absolute_max_p = max(pmax_data(:));
%absolute_max_prms = max(prms_data(:));
absolute_max_p = 0;
absolute_max_prms = 0;
for i = 2:Nx-1
for j = 2:Ny-... |
function [data] = create_synthetic_data(opt)
% [data] = create_synthetic_data(opt)
% Creates a random triplet of matrices or tensors, composed of a low-rank
% component, a sparse component and their superposition.
% INPUTS
% opt a struct of options
% OUTPUTS
% data a struct containing the data
... |
function gen_strf_graph(animal,pen,neuron)
% animal = 'Ronnie';
% pen = 'P08';
% neuron = 11;
dir_name = ['/home/alex/Desktop/Kernels/',animal,'/',pen,'/data/sep_kernel_adjbeta.mat'];
save_dir = '/home/alex/Dropbox/SfN/';
coch_dir = '/mnt/40086D4C086D41D0/Reverb_data/coch.mat';
load(dir_name);
load(coch_dir);
%Generate... |
function u = controller(params, t, X)
% You have full state feedback available
K = [-1.0000 -113.1949 -1.2465 -13.9340];
% After doing the steps in simLinearization, you should be able to substitute the linear controller u = -K*x
u = -K*X; % Note from LeeChan: We see that the controller has nothing to ... |
clear;
clc;
VSource = 1;
nPoints = 100;
tEst = 1;
type = 'log';
instrreset;
idOsc = 'USB0::0x0957::0x1725::MY49110441::0::INSTR';
idGen = 'USB0::0x0957::0x0407::MY44013172::0::INSTR';
[F, Mag, Phase] = autoBode(VSource, tEst, nPoints, type, idOsc, idGen);
subplot(2,1,1);
semilogx(F,Mag);
subplot(2,1,2);
semilogx(F,Phas... |
function [subr,subr2,subr3]=en_sub3d3_dum(sub,sub2,sub3,n,delta0)
%[cf_tem,abssb,sb]=coef_scan3d(sub,sub,n);
%[cf_tem,abssb,sb2]=coef_scan3d(sub2,sub2,n);
%[cf_tem,abssb,sb3]=coef_scan3d(sub3,sub3,n);
len0=numel(sub); sb=zeros(1,len0); sb2=sb; sb3=sb;
for ia=1:len0
sb(ia)=sub(n(1,ia),n(2,ia),n(3,ia));
sb2(ia)=... |
clc % 清屏
clear all; %清除内存以便加快运算速度
close all; %关闭当前所有figure图像
SamNum=835; %输入样本数量为500
TestSamNum=835; %测试样本数量335
ForcastSamNum=835; %预测样本数量为1
HiddenUnitNum=7; %中间层隐节点数量取8,比工具箱程序多了1个
InDim=2; ... |
hours_worked = [25 10 30 28 18];
hourly_rates = [25 26 27 28 29];
%five lines of code for five employees
gross_pay(1) = hours_worked(1) * hourly_rates (1);
gross_pay(2) = hours_worked(2) * hourly_rates (2);
gross_pay(3) = hours_worked(3) * hourly_rates (3);
gross_pay(4) = hours_worked(4) * hourly_rates (4);
gross_pay(... |
function varargout = hyper_rgb_comparison(varargin)
% HYPER_RGB_COMPARISON MATLAB code for hyper_rgb_comparison.fig
% HYPER_RGB_COMPARISON, by itself, creates a new HYPER_RGB_COMPARISON or raises the existing
% singleton*.
%
% H = HYPER_RGB_COMPARISON returns the handle to a new HYPER_RGB_COMPARISON or t... |
global global_rep;
% MUST CHANGE ACCORDING TO SIMULATION!
filtername = 'Sim_Param2';
filter = 0.99;
xaxis = 'Host_Peer_Count';
% xaxis = 'Host_Wifi_Count';
% xaxis = 'Host_Wifi_Ratio';
% yaxis = 'DHT_Message_Count';
% yaxis = 'DHT_Message_Resent_Count';
yaxis = 'DHT_GetMessage_E2ELatency_Avg';
% yaxis = ... |
% Add folders to path.
addpath(pwd);
cd algorithm/;
addpath(genpath(pwd));
cd ..;
cd utils/;
addpath(genpath(pwd));
cd ..;
cd solvers/;
addpath(genpath(pwd));
cd ..;
cd manopt;
addpath(genpath(pwd));
cd ..;
cd tools/;
addpath(genpath(pwd));
cd ..;
setenv('EDITOR', 'vim');
|
function [Xc, Yc,L]=centroid1(image)
[r ,c ]=size(image);
% calculate the centroid of image
for i=1:r
for j=1:c
Xnum=Xnum+i* image(i,j);
Xdeno=Xdeno+image(i,j);
Ynum=Ynum+j*image(i,j);
Ydeno=Ydeno+ image(i,j);
end
end
... |
function [x, y] = ForwardEular(init, left, right, h)
x = left:h:right;
y = zeros(size(x));
y(1) = init;
for i=1:length(x)-1
y(i+1) = y(i) + h*(y(i) - 2*x(i)/y(i));
end
end
|
%% Opdracht 4
% Hieronder staat code waarmee je een grafiek van een inverse tangens
% functie tekent. Maak een nieuw figuur aan. De variabele signaal bevat een
% heleboel opvolgende waardes. Trek steeds de opvolgende waardes
% van elkaar af (de tweede min de eerste) en stop het resultaat in een
% vector genaamd 'diff... |
clearvars; close all; clc;
addpath(genpath('/home/hoa/ownCloud/Tracking/JoFR_2018'));
load('JoFR_20180806170804_Stra_HorizonOne_3D_Yes_2Ray_Yes_High_Yes.mat');
est_Yes = MC_Results.est;
RMSFound.Yes = cell2mat(cellfun(@(x) cell2mat(x.RMSFound),est_Yes,'UniformOutput',false));
FoundIndex.Yes = cell2mat(cellfun(@(x) x.k... |
% for am4
nlat=180;
nlon=288;
nyears=30;
conts=[-5,-4,-3,-2,-1,1,2,3,4,5];
caxisin=([-5 5]);
% lcloud_ensmn is the raw data with seasonal cycle
vartotrend=lcloud_ensmn;
reg_trend
lcloud_trend=regtrend_var_oo;
% plot trend before seasonal cycle is removed
cont_map_modis(lcloud_trend,vlat,vlon,conts,caxisin)
colorbar
... |
function xyzMicrons = viking2micron(xyz, source)
% VIKING2MICRON Scales xyz coordinates to microns
% Inputs:
% xyz coordinates [N x 3] or xy [N x 2]
% source volume name/abbreviation
% Output:
% xyzMicrons coordinates converted to microns
%
% History:
% 3Nov2017 - SSP
% 26Jun2019 - SSP - Adde... |
function [ res ] = compositionFinder( mass, numC, isoDist )
%compositionFinder This function accepts an accurate mass and an
%estimation of the number of carbons that is ultimately derived from the
%isotope cluster. The procedure starts with the core elements (CHNOPS) and
%then expands to others, such as Cl,Br,I,Se,Na... |
function [nu Lambda cholLambda mu ] = initVariationalGaussNatural( D, paramPost )
%INITVARIATIONALGAUSSNATURAL Initializes variational approach with Gaussian posterior
% Natural parameterization
% ParamPost: cell (possibly empty) with natural parameters
% D: Dimenisonality of Gaussian
if (isempty(paramPost))
nu ... |
function Y=myReshape(X,st)
if st==0
[M,N]=size(X);
Y=zeros(M*N,3);
for i=1:M
for j=1:N
k=M*(i-1) + j;
Y(k,1)=i;
Y(k,2)=j;
Y(k,3)=X(i,j);
end
end
else
M=max(X(:,1));
N=max(X(:,2));
Y=zeros(M,N);
for i=1:M
... |
function out = makeplot(t, dt, ny, nx, nt, x, y, u)
uplot = reshape(u, [ny, nx, nt]);
num_contours = 50;
figure;
contour(x, y, uplot(:,:,t), num_contours);
colorbar;
title(sprintf('Pollution at t=%f', (t - 1)*dt));
xlabel('x');
ylabel('y');
out = 1;
end |
function [NTNi] = QUAD2D_NTN_INT(V)
%QUAD2D_NTN_INT Returns the integral of the outer product of the
%shape functions vector against each other for a 2D quad defined by
%given node coordinates
% USAGE:
% [NTNi] = QUAD2D_NTN_INT(V);
% INPUTS:
% V : 4x2 ordered coordinates of vertices (global CS)
% OUTPUTS:
% NTNi :... |
%{
learningClassImage.m
%}
imgRbg2Gray('01.jpg');% 将彩色图片进行阈值化处理
waitBar(10e+2);% 延时 200 ms
figure;
imgGraythresh('./ImageProcessing/Result/result01.png');% 将阈值化处理后的图片进行二值化分割 |
function [oral, pharyngeal,total,smooth_total]=matrix(vocaltractnumber,vowelnumber)
oral=zeros(7,11)
oral(vocaltractnumber,vowelnumber)=
pharyngeal=zeros(7,11)
total=zeros(7,11)
smooth_total=zeros(7,11)
% oral_norm=zeros(8,12)
% pharyngeal_norm=zeros(8,12) |
function [structData] = computeCOP(structData)
% Calculates the COP and Free moment from force and moment data
%
% Written by Thor Besier, James Dunne, Cyril (Jon) Donnelly, 2008
% Last Modified; James Dunne, September (2014).
for i = 1 : length(structData.fp_data.GRF_data)
% Place these dat... |
clear all;close all;
bigN = 36;
N = 4;
N_list = 4:2:bigN;
alpha_list = [1;0.1;0.01];
scaling = [1;0.75;0.5;0.25;0];
colors = {'b','r'};
whichN = [4,18];
count = 1;
for l = 1:length(whichN)
N = whichN(l);
N_ind = find(N_list == N);
for j = 1:length(alpha_list)
alpha = alpha_list(j);
... |
% 6、编写程序提取RGB彩色图像中感兴趣的颜色的区域。
I = imread('yellowlily.jpg');
[h,w,d]=size(I);
for i=1:h
for j=1:w
if I(i,j,1)>128&&I(i,j,2)>128
% I(i,j,3)=0;
else
I(i,j,1)=0;
I(i,j,2)=0;
I(i,j,3)=0;
end
end
end
imshow(I)
% X = I(1:100,20... |
function [state, reward] = pickup( state )
%PICKUP Summary of this function goes here
% Detailed explanation goes here
taxiloc=state(1);
passloc=state(2);
reward=-1;
if passloc<5 && getdroplocation(passloc)==taxiloc,
state(2)=5;
reward=1;
end
end
|
% CometPosition: Make observations of the Comet position at
% certain times and with a certain noise level.
%
function [PositionData] = CometObservation(Time ,NoiseLevel)
if nargin < 2
NoiseLevel = 1e-3;
end % Default Noiselevel
% Create a set of observation of the Comet position at certain times.
% At time t=0 ... |
function [dfG,dfR]=takeDelta(CinGreen,CinRed,FrameRate)
%normally start at 2 but try moving to 10 because sometimes it messes up
%the normalization I think?
baseG=mean(CinGreen(:,2:5*FrameRate),2);%skip the first frame since it's sometimes messed up
dfG=CinGreen./baseG;
baseR=mean(CinRed(:,2:5*FrameRate),2);% same ski... |
function image = removeGcleff(im)
thickim = bwmorph(im,'thicken');
h = sum(thickim,1);
[rows, columns] = size(im);
thresh = 100;
h = h > thresh;
[vpks, Gcleffloc] = findpeaks(double(h));
image = im(:,Gcleffloc(1)+25:columns);
end |
function p = periodic(t, n)
a_n = integral(@(x) (f(x) .* cos(n .* x .* 2 .* pi ./ t)), 0, t) * 2 / t;
b_n = integral(@(x) (f(x) .* sin(n .* x .* 2 .* pi ./ t)), 0, t) * 2 / t;
p = pi * power(power(a_n, 2) + power(b_n, 2), 0.5);
|
hold on
clc;
clear;
% close all;
%% Load Data
load MYdata_calib_ds1a.txt;
Inputs=MYdata_calib_ds1a(:,1:10);
Targets=MYdata_calib_ds1a(:,11);
nSample=size(Inputs,1);
S=randperm(nSample);
Inputs=Inputs(S,:);
Targets=Targets(S,:);
pTrain=1;
nTrain=round(pTrain*nSample);
TrainInputs=Inputs(1:nTrain,:);
Tra... |
% ====================================================
%
%
% une routine pour la mise en oeuvre des EF P1 Lagrange
% pour l'equation de Laplace suivante, avec conditions de
% Neumann sur le maillage nom_maillage.msh
%c
% | -Delta u + u= f, dans \Omega
% | du/dn = 0, sur le bord
%
% ========================... |
function update_STUFF_M400(inputFile, goodFrac, ranking)
% $Rev: 1115 $
% $Author: mrakitin $
% $Date: 2015-08-18 01:44:25 +0400 (Tue, 18 Aug 2015) $
global ORG_STRUC
global POP_STRUC
global USPEX_STRUC
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%% Some parameters can be updated from INPU... |
%% clear old stuff, load data
clear; clc; close all;
aircraft
%% Find centralised solution
[AL1, BL1, AT1, BT1] = findLargeSystem(A1, B1, Tfinal);
[AL2, BL2, AT2, BT2] = findLargeSystem(A2, B2, Tfinal);
[AL3, BL3, AT3, BT3] = findLargeSystem(A3, B3, Tfinal);
[AL4, BL4, AT4, BT4] = findLargeSystem(A4, B4, Tfinal);
[H... |
%% Histograms for the features and classes
% Constants
bins = 10;
y = [0 30];
x = [0 8];
fontsz_legend = 12;
fontsz_title = 14;
%% Iris Setosa
figure(3);
subplot(3,1,1);
hold on;
histogram(x1(:, 1), bins);
histogram(x1(:, 2), bins);
ylim(y);
xlim(x);
grid on;
title('Data Iris Setosa', 'fontsize', fontsz_title);
leg... |
function r=sig_fit(varargin)
%% Fit relaxation signals.
%
% sig_trace <file> -- process signal list, write results to file.fit and file.fit_img
% sig_trace <date> <file> -- proces one signal
% sig_trace -- process last signal
% sig_trace <date> <file> <par> ... -- use parameters (t1fit,t2fit,exp)
% ... |
%%% Compare the maxima againt the EC curves obtained from the LKCs
FWHM_vec = 2:6;
nsubj_vec = [10,20,25,50,75];
global RFTboxloc
maxdistloc = [RFTboxloc, 'NeuroPaperCode/Maxdist/'];
for I = 1:length(FWHM_vec)
FWHM = FWHM_vec(I);
for J = 1:length(nsubj_vec)
nsubj = nsubj_vec(I);
load([m... |
function [mag_e, a, theta, Omega, i, omega] = orbit_elements(r2, v2, u)
%Magnitude of position and velocity
mag_r2 = norm(r2);
mag_v2 = norm(v2);
%Momentum
h = cross(r2, v2);
mag_h = norm(h);
%Eccentricity
e = (cross(v2, h) / u) - (r2 / mag_r2);
mag_e = norm(e);
%Perifocal cal... |
function LL = logLikelihoodQBOLD(XX)
% Calculate the log likelihood that a looked-up set of data has a given value of
% OEF and DBV. For use with FMINSEARCH (or similar) script only. Requires
% qASE_model.m. Derived from DBV_loglikelihood.m
%
% MT Cherukara
% 2018-11-02
% declare global variables
global S_true param1 ... |
%name: Zhimingyuan Liu
%description:
%this assignment reads four sound files and using ASDR, ADDITION, AND TIME
%SCALE TO MAKE THE SOUND EFFECT
clear all;
close all;
% READ THE FOUR SOUND FILES
[y1, Fs1] = audioread('water.wav');
[y2, Fs2] = audioread('scream.wav');
[y3, Fs3] = audioread('saw.wav');
[y4, Fs4] = audio... |
datadir='/nfs/to-eeg/';
subno=1;
addpath('/nfs/to-eeg/code/functions/')
for n=1:length(EEG.epoch)
Event_Order{n} = EEG.epoch(n).eventtype{1};
end
item_hit=strsearch('200',Event_Order);
order_hit=strsearch('220',Event_Order);
EEG=pop_select(EEG, 'nochannel', {'CB1' 'CB2' 'HEO' 'VEO'});
electrode_locations = cell... |
clear all
close all
% the Control point weighting scheme ,
% seen in paper<Non-rigid Registration Using Free-form Deformations> by Loren Arthur Schwarz
% with the test of the red point in figure 5.2
[e,f,g,h]=dB(1);
[a,b,c,d]=BB(0);
w=[e,f,g,h];
m=[a,b,c,d];
for i=1:length(w)
for j=1:length(m)
q(j,i)=w(i)*m(j... |
% Plots oblate spheroid coordinate surfaces
clear;
%close all;
e = .9; % Shape
a = 3.75; % Semimajor axis length, units
lambda = pi*75/180; % Azimuth range
eta = 0.7; % El... |
% su_write_2d_model : Write model for SU modeling
function su_write_model(v,filename);
if nargin==0
help su_write_model
end
if nargin<2
filename='velocity.out';
end
write_bin(filename,v(:));
|
function RunSystemCommand(GEMpath, DATpath, outDir)
commandLine = strcat(InsertQuotes(GEMpath), 32, '-log', 32, '-f', 32, InsertQuotes(DATpath), 32, '-wd', 32, InsertQuotes(outDir));
system(commandLine);
end
function quotedText = InsertQuotes(text)
quotedText = strcat('"', text, '"');
end
|
function spinMutation(Ind_No)
% USPEX Version 7.4.1
global POP_STRUC
global ORG_STRUC
global OFF_STRUC
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%% CREATING Mutants by atom positions mutation%%%%%%%%... |
function [] = print_pattern_stat(all_patterns)
%PRINT_PATTERN_STAT Print some info about the patterns
fprintf('Total patterns: %d\nPixels 1: %.2f%%\nPixels -1: %.2f%%\n', ...
size(all_patterns, 1), ...
100*sum(all_patterns(:) == 1 )/numel(all_patterns), ...
100*sum(all_patterns(:) == -1)/nu... |
function x = creatingInputBitSequence(length)
x = randi(2, [1 length]) - 1;
end |
function result=Kapur_Entropy(LP,TH)
%function result=Kapur_Entropy(LP,TH)
%calculate the maximum entropy based on the input thresholds
%input:
%LP:normalized histogram
%TH:thresholds
%output:
%result:the entropy
clear k i j
k=size(TH,2);
result=0;
s_th=[0 TH length(LP)];
s=sort(s_th... |
function [ mask ] = thecannon_set_mask( wave, mask0, region_set, value_set )
% Written by: Bo Zhang (NAOC, bozhang@nao.cas.cn)
% Last modified: 24-Jun-2016
%
% Aim:
% - convenient tool for setting a mask
% Example:
% - [ mask ] = thecannon_set_mask( wave, 0, region_set, 1 );
% -
% INPUT:
% - wave: wave ... |
%%
clear all
close all
dr = '/Users/mertozkan/Documents/MATLAB/DD/DDPOPO/data/MOz';
%function analys_ddpopo(dr)
op = concatenate_files(dr);
rxn_t = str2num(char(op(:,6)));
trl = label_trials(op(:,3), op(:,2), rxn_t);
[isOk, acc] = accuracies(op,trl);
rt = reaction_times(trl, rxn_t, isOk);
% end
%%
function rt = ... |
clear;clc
%This script plots examples of functions that are not everywhere concave
%but still have negative Jensen gaps
%Define functions
f1 = @(x) 1./(1+exp(-5*x + 2.1)) - 1/(1 + exp(2.1));
f2 = @(x) 0.02*sin(100*x) + x./(0.3 + x);
%Simulate to estimate Jensen gaps
a = 0;
b = 1;
x = linspace(0,1,1000);
mu = (a+b)... |
clear
eng.engLoad0 = 1;
EngineSystemParameters7X82;
mdl = 'TurbochargerFullMap';
open_system(mdl);
for ii = 1:11;
eng.engLoad0 = eng_data.TC.Pe(ii)/eng_data.TC.Pe(2);
EngineSystemParameters7X82;
complete = 0;
k = 0;
while (complete == 0);
k = k + 1;
if k > 10
break;
... |
%第二章46页
clear
num=20;%采样点个数
theta=linspace(-3*pi,3*pi,num);
x=cos(theta);
y=sin(theta);
z=theta/2;
plot3(x,y,z,'.-','markersize',20);
Pname=['fig2_7-',num2str(num),'.mat'];
pathname='C:\CodeStore\matlab\几何迭代法\data\';
save([pathname,Pname],'x','y','z') |
function [C, sigma] = dataset3Params(X, y, Xval, yval)
%EX6PARAMS returns your choice of C and sigma for Part 3 of the exercise
%where you select the optimal (C, sigma) learning parameters to use for SVM
%with RBF kernel
% [C, sigma] = EX6PARAMS(X, y, Xval, yval) returns your choice of C and
% sigma. You should co... |
function [ Y, C, W, beta, obj] = opmc( X, k)
%OBJ \min \sum_{v=1}^V ( \|\mathbf{X}_v -
%\mathbf{Y}\mathbf{C}_v\mathbf{W}_v\|_F^2
% s.t. W_vW_v^T = I
V = length(X);
n = size(X{1}, 1);
c = k;
% init
Y = randi([1,k],n,1);
for v=1:V
C{v} = rand(k,c);
W{v} = rand(c,size(X{v},2));
end
beta = ones(V,1)./V;
t = 1;
w... |
function [ outStruct ] = clustered_lat_feat_loocv( As, targs, d, kCluster )
%clustered_lat_feat_loocv Classify graphs using bayes plugin based on
%clustered estimated latent features.
% Estimate latent features using eig method. Cluster the targs==0 and
% targs==1 groups of features into kCluster clusters giving 2 ... |
function vol = getCylinderVolume(bbox, allowance)
%detects the most similar dimensions
%and assumes it as end face
r12 = abs(1 - bbox(1)/bbox(2));
r13 = abs(1 - bbox(1)/bbox(3));
r23 = abs(1 - bbox(2)/bbox(3));
if (r12 < r13) && (r12 < r23)
z = bbox(3);
... |
[soundIn, freqSamp] = audioread("C:\Users\dzecc\Desktop\wave.wav")
soundOut = zeros(length(soundIn),2);
soundOut(:,2)=soundIn;
for n = 2:length(soundOut)
soundOut(n,1) = soundOut(n-1,1) +1/freqSamp;
end
soundOut = zeros(length(soundIn),2);
soundOut(:,1) = soundIn(:,1);
soundOut(:,2) = soundIn(:,1);
soundOu... |
% ONLY for MNIST dataset (for rebuttal):
% plot scatters of ID vs replication,
% for threshold = 7000, 8000, 9000, 10000.
% This is for rebuttal.
% NOTE: not plot fitted curves yet --> since MNIST has trend different from
% other datasets!
% referenced from plt_IDvsRep_forSuppMat.m
%% parameters:
% an array of all ... |
function [J, grad] = cofiCostFunc(params, Y, R, num_users, num_movies, ...
num_features, lambda)
X = reshape(params(1:num_movies*num_features), num_movies, num_features);
Theta = reshape(params(num_movies*num_features+1:end), ...
num_users, num_features);
J = 0;
X_gr... |
function output = piece_feature2(data, label)
num = size(data,2);
data_len = 20;
jump = 5;
data_size = floor((num-data_len)/jump);
m = 1;
n = data_len;
result = [];
for j = 1:data_size
period = data(m:n);
result = [result;feature_table(period,label)];
m = m + jump... |
function [p] = norm2(x)
%NORM2 [p] = norm2(x)
p = norm(vec(x), 2);
end
|
function [aux_ini_fil,filaments] = move_index_2D(S_new,filaments,P)
aux_ini_fil = zeros(size(P.ini_fil));
% update the membrane vertix closer to the line traced between the
% nucleation location and the membrane
for l = 1:length(P.ini_fil)
if P.line(l,4) == 1
ind = find(S_new(P.index,1)... |
function y = mylpc(x,p)
rx = xcorr(x);
rx_toeplitz = rx(length(x):length(x)+p-1);
rx = rx(length(x)+1:length(x)+p);
Ra = toeplitz(rx_toeplitz);
a = (Ra\rx)';
y = [1 -a];
end |
%% 4week HW Uniform & Non-uniform Quantization
% Copyright 2018, Jungwon Choi, INHA Electronics
close all; clear;
img = imread('fig2.jpg'); % 원하는 이미지를 불러오기
img = rgb2gray(img); % 이미지를 흑백으로 변환
img = double(img); % 연산을 위해 픽셀 값을 실수형으로 변환
[H, W] = size(img); % 이미지의 크기 추출
N = 7; ... |
% Generate circular white gaussian noise of zero-mean unit-variance
numRealisations=100;N=1000;
x = wgn(N,numRealisations,0,'complex');
[circ_quot_x , circ_coeff_x] = circularity_calculation(x);
% initial Complex Distribution of x:
figure(1);
plot(x,'b.','LineWidth',2);xlabel('Real');ylabel('Imaginary');title('Circul... |
h = rcosdesign(0.25,6,4); |
function popupmenues(handles)
global wd x y ll hll parlist xselect yselect pplot
pplot = 0;
resetall(handles)
set(handles.checkboxrefine,'Value',0,'Enable','off')
set(handles.resetrefinebutton,'Enable','off')
set(handles.realtimecheckbox,'Value',0,'Enable','off')
xstrings = get(handles.popupmenu1,'string');
ystrings = ... |
clc; clear; close all;
%Edge Detection
%% Inporting an Image
Image = imread('abc.jpg');
Image = imresize(Image, 0.5);
Image = rgb2gray(Image);
figure(1);
imshow(Image);
%% Edges by using DWT2
[cA, cH, cV, cD] = dwt2(Image,'haar');
figure(2);
subplot(2,2,1); imshow(uint8(cA));
subplot(2,2,2); imshow(uint8(cH... |
function Electrifield (W)
c = 3e+8;
x = 0 : .001 : 10 ;
t = 0 : .001 : 10 ;
B = W/c;
Bx = B * x;
Wt = W * t;
[BX,WT] = meshgrid(Bx,Wt);
E = cos(WT - BX);
%mesh(E);
surf(BX,WT,E);
%axis square;
xlabel('X');
ylabel('t');
zlabel('E');
grid on
end
|
function [row, col] = mapLocation(Loc)
% function to translate a location number (1-864) into the coordinates
% where that location appears in the drug ID table. This was designed for
% use with a 96 well plate with 9 locations in each well. Should the
% experiment be redesigned in some significant way, this funct... |
clc;clear all
addpath(genpath(pwd))
addpath(genpath('..\ADAPT_R&D_0.0\'))
% define model specifics
m.modelname = 'M2';
m.Niter = 100; %number of data samples
m.Ndt = 200; %number of time samples
m.info.smooth = 1; %default: 1
m.info.sd_weight = 1; %default: 1
m.info.lambda_r ... |
function [average, eigenvectors, eigenvalues] = compute_pca(vectors)
% function [average, eigenvectors, eigenvalues] = compute_pca(vectors)
number = size(vectors, 2);
% note that we are transposing twice
average = [mean(vectors')]';
centered_vectors = zeros(size(vectors));
for index = 1:number
centere... |
% x/a value range
function [range] = FractionValueRange(lx,rx,la,ra)
options = [lx/la, lx/ra, rx/la, rx/ra];
range = max(options) - min(options);
end |
x=.1:.1:10;
y=log10(x);
plot(x,y,'b')
title('log10(n)');
xlabel('x');
ylabel('y') |
%% evaluation of the 2d plane with 2d forward kinematics problem solution
% forward kinematics for original configuration
% robot definition
% robot configurations
ROBOT = '2d2linkBot';
theta1 = pi/3;
theta2 = pi/6;
ys_ori = [theta1; theta2];
% forward kinematics
xpos = cos(theta1) + cos(theta2);
ypos = sin(theta... |
%% Check that we can find the dataset
opto_data_file = fullfile(files_path, 'preprocessed_data', 'ofc_learning_choosing_dataset_opto.mat');
assert(exist(opto_data_file, 'file') == 2, ...
'Unable to find opto dataset. Please find "ofc_learning_choosing_dataset_opto.mat", and place it in the Matlab path.')
%% Load ... |
%% specify filename
filename = 'kkt_mat_0.iajaaa';
f = fopen(filename,'r');
A = fscanf(f, '%f');
fclose(f);
%% data loading
m=A(1); % matrix size
nnz=A(2); % number of nnz of the upper triangle
rowp = A(3:m+3); % row pointers in colidx and vals (see below)
colidx=A(m+4:nnz+m+3); % column indexes for each nz
vals=A(nn... |
%15-79
mA = input("Mass of disk A in kg : ");
mB = input("Mass of disk B in kg : ");
vA = input("Velocity of disk A in m/s : ");
vB = input("Velocity of disk B in m/s : ");
angle = input("angle of disk B: ");
vBx = vB * cosd(angle);
vBy = vB * sind(angle);
e = input("Coefficient of Restitution : ");
%conservation of ... |
function [] = jess_run_gui()
%RUN_JESS opens a GUI window with buttons to run and pause the rules engine
% j is the jess.Rete object
persistent control_window
%%
if isempty(control_window)
j = global_jess_engine();
run_button = javax.swing.JButton('Run');
listener = j.eval([...
... |
function [theory_y0y0,theory_y1y1] = func_yi(p,n0,n1,z,alpha0,beta0,alpha1,beta1,c,c0,c1,g0_,g1_,g0,g1,Sigma0,Sigma1,Sigma0_tilde_1,Sigma1_tilde_1,Sigma0_tilde,Sigma1_tilde,H0_bar,H1_bar,mu)
%% i = 0, compute asmyptotic equivalence of H1*Sigma0*H1
C = [c0,c1];
g_=[g0_,g1_];
Sigma_tilde_ = cell(2,1);Sigma_tilde_{1,1} =... |
%% figure 4a and b
%b
delta = [6.5 9 11 12 15 14 13 11 9.5];
lw = [0 .13 .16 .29 .4 .55 .66 1.02 1.17];
figure(10);
hold on;
plot(lw,delta,'k.','MarkerSize',25,'MarkerEdgeColor','k');
xlabel('l/w');
ylabel('\Delta');
axis([0 1.3 0 18])
figure(12)
hold on;
plot(lw,exp(delta),'k.-','MarkerSize',25,'MarkerEdgeColor','k');... |
clc;
clearvars;
close all;
SigmaAmplitudes = 0:0.5:2;
load(['../Obtain Component-Based Alignment Results/ResultsComponent.mat']);
NoiseLevels = 0:0.1:0.5;
ScoresAcrossAmplitudes = WidthAmplitudeScores{1,1};
Figure1 = figure(1);
set(Figure1, 'Position', [100, 100, 550, 350]);
plot(SigmaAmplitudes, ScoresAcrossAmplit... |
function params=subParameters(comm_params, sub_strains)
totStrains=length(comm_params.Vs)/2;
numStrains=length(sub_strains);
params.seg_rate=comm_params.seg_rate;
params.conj_rate=comm_params.conj_rate;
params.S0=comm_params.S0;
params.T=comm_params.T;
params.d=comm_params.d;
param... |
function [Overlapmax,extradetected,notdetected] = IoUvalues(data,b2,i)
box1=data.Var2(i);
box1=cell2mat(box1);
box2=b2;
n2=size(box2,1);
n1=size(box1,1);
%Calculation of all the IoU for each actual gate for each prediction
for j=1:n1
for k=1:n2
first=box1(j,:);
second=box2(k,:);
Overlap(j,k... |
function [moo,m1oSum,n_pq] = cent_moment(p,q,A)
[m n]=size(A);
moo=sum(sum(A));
m1o=zeros(m*n,1);
mo1=zeros(m*n,1);
cnt1 = 1;
cnt2 =1;
for x=1:m
for y=1:n
m1o(cnt1,1)=(double(x)*double(A(x,y)));
mo1(cnt2,1)=(double(y)*double(A(x,y)));
cnt1 = cnt1+1;
cnt2 = cnt2+1;
end
end
m1oS... |
clear
svgname='巴彦淖尔市';
qudianjiange=1; %取点模式 0均匀取点 1非均匀取点
switch qudianjiange
case 0
pointnum=250; %总取点数目
R = loadsvg([svgname,'.svg'], 0.001,0 );
P=R{1,1};
P=[P;P(1,:)];
% P=unique(R{1,1},'row','stable');
csl = [0;cumsum(vecnorm(diff(P),2,2))]; %累加长度
... |
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