text stringlengths 8 6.12M |
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function svd_clean(name, Ncomps)
[a h] = read_img(name);
[u,v,w] = svd(a,'econ');
X = u(:,2:Ncomps+1);
R = a - X*pinv(X)*a;
write_img(['clean_' name], R, h);
return
|
function NP_makeFigure4(params_comp,cur_roi,opt,dirPth)
fontSize = 1.1; % in centimeters
lineWidth = 3;
MarkerSize = 5;
roi_idx = cur_roi.roi_idx;
roi_comp = cur_roi.roi_comp;
% fitted line to the mean of bins
x_param_comp_1 = params_comp.fit.xfit;
y_param_comp_1 = params_comp.bin.binValFit_comp_1;
% binned values... |
function [prob,output,classifier,smoothed_probabilities] = apply_classifier_nestedCV(training,varargin)
%TEST_CLASSIFIER extract features that will be used later by the
%classifier
% YPREDICTED = TEST_CLASSIFIER(TRAINING,TESTING). training and testing
% are structures where the temporal features(training.features.t... |
% intro
close all
clear
%%
colorImage = imread('test4.jpg');
I = rgb2gray(colorImage);
ocrtxt = ocr(I);
czarno_bialy = [ocrtxt.Text]
ocrtxt = ocr(colorImage);
kolorowy_obraz = [ocrtxt.Text] |
function varargout = inEnvelope(MWS)
% This function determines if the engine is within the flight envelope
% cond = inEvelope(MWS)
% cond = 1 - IC is within the flight envelope
% cond = 0 - IC is not within the flight envelope
% *************************************************************************
% written by Je... |
function [ trendSeries, filledTimeStamps, filledSeries, nRunMn ] = tsEvaRunningMeanTrend( timeStamps, series, timeWindow)
[ filledTimeStamps, filledSeries, dt ] = tsEvaFillSeries( timeStamps, series );
nRunMn = ceil(timeWindow/dt);
trendSeries = tsEvaNanRunningMean(filledSeries, nRunMn);
trendSeries = tsEvaNa... |
function [yu yl x] = Airfoil_interp(Coord,Position,Y)
n = length(Position);
nx = length(Coord(1,:,1));
Xi = Coord(1,:,1);
Yi = Position;
Zui = zeros(nx,n);
Zli = zeros(nx,n);
for i = 1:n
for j = 1:nx
Zui(j,i) = Coord(i,j,2);
Zli(j,i) = Coord(i,j,3);
end
end
x = Coord(1,:,1);
yu = interp2(Y... |
% calculate distance betweet two points in space
function d = distance(a, b)
d = ((sum(((a - b).^2)')).^(1/2))';
end
|
% evaluation - FBPConvNet
% modified from MatconvNet (ver.23)
% 22 June 2017
% contact : Kyong Jin (kyonghwan.jin@gmail.com)
clear
restoredefaultpath
reset(gpuDevice(1))
run ./matconvnet-1.0-beta23/matlab/vl_setupnn
load('./pretrain/net-epoch-151.mat')
% cmode='gpu'; % 'cpu'
cmode='cpu';
if strcmp(cmode,'gpu')
n... |
function final_cords = make_all_mirrors(cords, r, lower_bound, upper_bound)
final_cords = [];
for idx2 = 1:size(cords,1)
dummy = make_mirror_3D(cords(idx2,:), r, lower_bound, upper_bound);
final_cords = [final_cords;dummy];
end
end |
clear;
sigma=5;
Nrand=10;
N=100;
x=map2colvec(0:2*pi/(N-1):2*pi);
% y=1 + 1*x + 2*x.^2 + randn([1 N])*sigma;
for ind1=1:N
y2(ind1,:)=1*ones([1 Nrand]) + 1*x(ind1)*ones([1 Nrand]) + 2*x(ind1).^2*ones([1 Nrand]) + randn([1 Nrand])*sigma;
end
y=mean(y2,2);
sigma2=1/sqrt(Nrand)*map2rowvec(std(y2,[],2));
%%
... |
clc;clear all;close all;
tic
%% Load and process the data
frequency = 4; % 1 for year, 4 for seasons, 12 for months
hold_fraction = 0.20; % fraction to Divide data into training and testing part
offset =7 ;
span = 1;
t_xfirst = 1914;
t_xlast = 2013;
t_xl=2005;
features = {'globalCO2','globalpop... |
% MEXIHAT Mexican hat ウェーブレット
%
% [PSI,X] = MEXIHAT(LB,UB,N) は、区間 [LB,UB] 間で N 点等間隔グリッド上で、
% Mexican hat ウェーブレットの値を出力します。出力引数は、グリッド X 上で
% 計算されたウェーブレット関数値 psi とグリッド X です。
%
% このウェーブレットは、区間[-5 5]で効率的なサポートです。
%
% 参考 WAVEINFO.
% M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi 12-Mar-96.
% Last Revision: 14-May-20... |
function COMM_STATS = get_daily_community_stats(output,randomisations)
T = length(output);
Q = zeros(randomisations,T);
Q_NULL = zeros(randomisations,T);
NMI = zeros(randomisations,T);
C = zeros(randomisations,T);
C_NULL = zeros(randomisations,T);
%KL = zeros(randomisations,T);
for t=1:T
t
At = decompress... |
function dsfquery = importDsfquery(path2zip)
% IMPORTDSFQUERY Imports the zipped CRSP dsfquery dataset into a table
%
% IMPORTDSFQUERY (PATH2ZIP)
%
% Missing codes (Ret):
%
% CRSP code | SAS code | Description
% -44 .E No valid comparison for an excess return
% -55 .D No listing ... |
function out1 = rho2theta(rho)
%function out1 = rho2theta(rho)
%
% Takes a kxk correlation matrix and returns
% a k*(k-1)/2 x 1 vector of the correlation coeffs
%
% INPUTS: rho, a kxk correlation matrix
%
% OUTPUTS: out1, a kx(k-1)/2 x 1 vector of correlations [rho12,rho13,...rho(k-1)k]
%
% Andrew Patton
%... |
classdef RZ < sqc.op.logical.operator
% Z rotation
% also RX = exp(-1j*theta/2*sigmaZ)
% Copyright 2015 Yulin Wu, Institute of Physics, Chinese Academy of Sciences
% mail4ywu@gmail.com/mail4ywu@icloud.com
methods
function obj = RZ(theta)
obj = obj@sqc.op.logical.operator([exp(-1i*theta... |
function m = min_u(a,b)
if(a>=b)
m = b;
else
m = a;
end
end
|
close all
clear all
clc
data = readtable('0015_20 Xfoil Data graphs.xlsx','Range','B4:J36');
noRead = [5,6,7];
data(:, noRead) = [];
dataArray = table2array(data);
alpha = dataArray(:,1) ;
alpha = -1*alpha;
CL = dataArray(:,2);
CL = -1*CL;
CD = dataArray(:,3);
CLCD = dataArray(:,5);
CLCD = -1*CLCD;
... |
classdef VikingFrame < handle
% VIKINGFRAME
%
% Use:
% Place an exported frame in Illustrator. The export parameters in the
% notes below mean the image will be placed as 26.0453 inches square.
% Create a scale bar by creating a line with the following size:
%
% ScaleBarInches = sbfsem.images.VikingFrame(ScaleBarMicro... |
function ncreplace(filename,varname,value)
% ncreplace(filename,varname,value)
% replace variable value in netcdf file
% the number of entries in the variable must match
fprintf('ncreplace: open %s\n',filename)
ncid = netcdf.open(filename,'NC_WRITE');
fprintf('replacing variable %s\n',varname)
varid = netcdf.inqVarID(n... |
function [J, grad] = costFunctionReg(theta, X, y, lambda)
%COSTFUNCTIONREG Compute cost and gradient for logistic regression with regularization
% J = COSTFUNCTIONREG(theta, X, y, lambda) computes the cost of using
% theta as the parameter for regularized logistic regression and the
% gradient of the cost w.r.t. ... |
clear, close all
load('finnstats.merged.corrected.mat');
data = trigrams;
gutenb = data(strcmp(cellstr(squeeze(meta(:,2,1:9))), 'gutenberg'), :);
punk = data(strcmp(cellstr(squeeze(meta(:,2,1:9))), 'punkinfin'), :);
yle = data(strcmp(cellstr(squeeze(meta(:,2,1:3))), 'yle'), :);
sample_size = 100;
... |
load mri
fid = fopen('126_1_20.img','r');
out = fread(fid,[256,256],'int16');
%readanalyze('IBSR_01_ana');
image(out)
axis image
colormap(map)
|
function [min_dist output_img_index] = face_recognition(image_path, m, A, eigenfaces, pr_img)
M = double(rgb2gray(imread(image_path)));
M = M';
row = M(:);
this_A = row - m';
this_primg = eigenfaces' * this_A;
min_dist = norm(pr_img(:, 1) - this_primg);
output_img_index = 1;
for i = 2:length(pr_im... |
clc;clear;
addpath('../data')
addpath('../functions')
% Mosek setup
% javaaddpath('C:\Program Files\Mosek\8\tools\platform\win64x86\bin/mosekmatlab.jar')
% addpath('C:\Program Files\Mosek\8\toolbox\r2014a')
addpath ~/mosek/8/toolbox/r2014a
% Read in data & some general setup
file_name = 'electricitydata';
disp(['Simu... |
%ESTIMATEPOSEBOARD Pose estimation for a board of markers
%
% [rvec, tvec, num] = cv.estimatePoseBoard(corners, ids, board, cameraMatrix, distCoeffs)
% [rvec, tvec, num] = cv.estimatePoseBoard(..., 'OptionName',optionValue, ...)
%
% ## Input
% * __corners__ cell array of already detected markers corners. For eac... |
Wls=[];
for i=1:1:size(X,2)-l
sY=X(sEEG_idx,i:i+l-1);
iY=X(iEEG_idx,i:i+l-1);
sY=detrend(sY,2);
iY=detrend(iY,2);
w=inv(sY*sY'+1*norm(sY,'fro')*eye(size(sY,1)))*sY*iY';
Wls(:,:,i)=w;
end |
function [varargout] = AtomicGeometryWarper(varargin)
% THIS FUNCTION WARPS THE GEOMETRY OF THE ATOMIC SYSTEM ACCORDING TO THE DESIRED WARPING FUNCTION
% VERSION - 1.00 STARTED ON 17-01-2014. AUTHOR: SUNIL ANANDATHEERTHA sunilanandatheertha@gmail.com
switch varargin{1} % which geometry to warp
case 'G1'
%--... |
function [p_plus] = G_explicite(p_moins,gamma, zeta)
%traduction du code de Jeffery (ligne_a_retard_jeff.ipynb)
%p : vector
%gamma, zeta : scalar
%change of variables
Y = gamma + 2 .* p_moins;
X = zeros(1, length(Y));
%extra useful variables
psi= 1 ./ zeta .^ 2;
eta = (3 + psi) .^ (1 / 2);
mu = 9 ./ 2 .* (3 .* Y - 1)... |
%% input data
user10final = removevars(user10finalfile,{'VarName1'});
gt = user10final(:,{'groundtruth'});
array = table2array(gt);
gt_new = cellstr(array);
gt_class_labels = grp2idx(gt_new);
user10final = removevars(user10final,{'groundtruth'});
user10final = table2array(user10final);
user10final = transpose(user10fin... |
function pos_d = genDesiredPos(current_pos, current_pos_desired, last_pos_desired, K_CURRENT, K_PERP)
% GENDESIREDPOS 根据先后两个航路点生成期望的位置
% current_pos 当前位置
% current_pos_desired 当前航路点
% last_pos_desired 上一个航路点
% pos_perp 当前位置到航路上的垂直交点
Distent = norm(current_pos_desired - last_pos_desired);
if Distent>0.1%0.1m
... |
%% Write out solution for each subject
% Related to txt2nii.sh, blurFMRI.sh, sumFMRI.sh
clc; clear;
% Set label
label = 'TrueFaces';
% Set the lower bound for CV consistency
consistency = 0;
% decided if write the data to text files
writeToTextFile = false;
%% For each subject, Get coordinates and heatmap for voxe... |
function d = read_arcSouth_nojunk(start, finish, regs, arcdir, calfile)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% function d = read_arc(start, finish, regs, arcdir, calfile)
%
% start/finish=start finish times as strings with format e.g.:
% 01-Jan-2005:00:00:00
% optional regs=regs to extract if ... |
function dockAllFigures()
% Docks all the figures into the main window.
% Biafra Ahanonu
% started: 2013.12.09 [20:49:04]
% adapted from mathworks site
last_fig_no=get(0, 'Children');
for fig_no=1:last_fig_no'
figure(fig_no)
set(gcf, 'WindowStyle', 'docked')
end
clear last_fig_no fig_no
end |
function yearByYearFigs(C, T95prime, GHCND_clustered, summerTime, yrs, summer_doy, ...
lag_range, fig_folder, predictand)
nyrs = length(yrs);
T95summer = reshape(T95prime(ismember(GHCND_clustered.doy, summer_doy)),[length(summer_doy) nyrs]);
% add stippling when value is above 80th percentile
C80 = prctile(C, 80, ... |
% 潘其超， 20140706， V1.0
% 示范一个含有不同标的的tradeList的操作过程
clear;
clc;
%%
addpath(genpath('V:\root\qtool\framework'));
load StocktestPack;
%初始资金
config.initNav = 0;
% 合约种类
config.instrType = [1,2];
% 合约代码
config.instrID = {'a','b'};
% 手续费率
config.cmsnRate = [0.0001,0.0001];
% 保证金比率
config.marginRate = [1,1];
% 合约乘数
config.mult... |
function [ip,jp]=Tgetipjp(np)
ip=ceil(0.5*(1+sqrt(1+8*np)))-1;
jp=np-ip.*(ip-1)./2;
endfunction
|
function [Primal,OptDataMng,Results] = ...
prototype(stepTol,actualRedTol,maxOptItr,maxSubProbItr)
% Prototype for surrogate based topology optimization
% NOTES:
% - Based on C.T. Kelley and E.W. Sachs 1999 paper: a trust region method
% for parabolic boundary control problems
clc;
% Problem interface directories... |
function deinterleave_write(directory, svec, mics)
% deinterleave_write - load all wav files in a directory and interleave
% deinterleave_write(directory, svec, mics)
% the opposite of load_interleave
% takes a row vector with blocks of size <mics> and unfolds it into
% an output matrix with <length> / <mics> row... |
function [X1,Y1,R1,T1,MAT1]=ReadFromFile(sfile)
%--------------------------------------------------------------------------
% All copyrights reserved @ 2014-2020 Dr. Gaofeng Zhao
% TIANJIN UNIVERSITY (China), UNSW (Australia)
% Email: zhaodlsm@gamil.com
%------------------------------------------------------------... |
function [state,currentDate] = check_state(startDate,endDate)
% Checks the current time and changes state
% update currentDate
currentDate = datetime('now');
% dateTaken = datetime('now');
% Check if state has changed and change if has
if (currentDate < startDate)
state = 1; % before it is s... |
%SCRIPT TO GENERATE CALCIUM IMAGING DATA FOR
%A POPULATION OF COUPLED GLM NEURONS
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%INITIALIZATION
short=0; %use 1 if adjusting firing rate
if(exist('T')~=1) T = 600; end %recording time
if(exist('N')~=1... |
function [circ,stats] = circulation(x,y,u,v, varargin)
% function [circ,stats] = circulation(x,y,u,v, varargin)
if (ischar(varargin{1})),
method = varargin{1};
varargin = varargin(2:end);
else
method = 'circle';
end;
dx = diff(x,[],2);
dy = diff(y,[],1);
dr = nanmean(abs([dx(:); dy(:)]));
switch lower(me... |
function receipt = getPopReceipt(obj)
% GETPOPRECEIPT Gets the message's pop receipt
% The receipt is returned as a character vector
% Copyright 2019 The MathWorks, Inc.
receipt = char(obj.Handle.getPopReceipt());
end
|
function align_trials = align_sample_trials_by_zero_cross(t, trials, rep, n_samples, first_region, stretch, second_region, show_res)
set_default('stretch',false)
set_default('first_region', [0,400])
set_default('second_region', [400,600])
set_default('show_res', false)
erp = squeeze(mean(trials,3));
shifts = get_shift... |
load data;
[M,N]=size(A); % get the size of matrix A
%*************************** output 1
output1=sum(sum(A.^2))/(M*N);
%display output1
disp('Output 1 is'),output1
%*************************** output 2
output2=0.5*sum(sum(A.*(1+0.2*B)))/(M*N);
%display output2
disp('Output 2 is'),output2
%*************************... |
%% Exercise 4:
%
% Now, use the hyperparameter-optimization functionality of fitrsvm() for
% finding even better training parameters. No sampling is needed here,
% since the hyperparameter-optimization uses a 5-fold cross validation by
% default. Therefore, use directly the trainData from "heating-train.mat"
% for trai... |
% RSMA SNR
% Using CVX for optimization (download from: cvxr.com)
function [WMMSE,p_1,p_2,p_3,p_123,X_1_123,X_2_123,X_3_123]=RS_1layer_CVX_Optimization(H,SNR,weight,g,u_opt,Rth)
u1 = weight(1);
u2 = weight(2);
u3 = weight(3);
[Nr,Nt,N_user] = size(H);
h1 = H(:,:,1);
h2 = H(:,:,2);
h3 = H(:,:,3);
g_1_123 =... |
% This programs tests RBF for a given function
clear all; clc;% close all;
%~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
% GENERATE THE I/O PATTERN
%~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
train_pts = 150;
test_pts = 150;... |
function s1 = dproxW(x)
global N0 MTraj K MR CorM delta;
function y = minu(v0)
y=1-v0;
end;
function y = plu(v0)
y=-(1-v0);
end;
i00 =(N0+1)*N0/2+1;
i01=(N0+1)*N0/2+N0;
InVec = x(i00:i01); % Filling 1st colum of trajectory by Init conditions
MTraj(1:N0,1... |
% related to highlight patch and ROI patch correlation measure:
% but instead of correlatin, I am looking at the mean pixel intensity of
% highlightPatch for pixels that fall inside and outside the ROI mask.
% The idea is that ROIs with high mean hightlightPatch pixel outside the
% mask are problematic.
%
% The foll... |
function [h]=vevaiometricPlot(data,varargin)
%% plots the vevaiometric
% inputs
% - data: a table of real or simulated data containing the variables 'evidence',
% 'confidence' and 'outcome', if there is a variable 'percept', data
% is plotted as a fit, if there is no variable 'percept', data is
% ... |
function [POP] = mlFilterPredict(POPULATION, numFiltered)
% Parameters:
% POPULATION: the structures of the new generation
% numFiltered: number of structures left after filtering
% Return values:
% POP: the filtered structures
global ORG_STRUC;
assert(ORG_STRUC.mlPeerFilter > 0, ...
'mlFilterT... |
function fd = div(Px,Py, options)
% div - divergence operator
%
% fd = div(Px,Py, options);
% fd = div(P, options);
%
% options.bound = 'per' or 'sym'
% options.order = 1 (backward differences)
% = 2 (centered differences)
%
% Note that the -div and grad operator are adjoint
% of each other suc... |
function varargout = horizplot(varargin)
% function horizplot(y,linestyle...)
% Adds horizontal lines at particular y values
%
% Mercurial revision hash: $Revision$ $Date$
% Copyright (c) 2010, Eric Tytell <tytell at jhu dot edu>
if ((numel(varargin{1}) == 1) && ...
ishandle(varargin{1}) && strcmp(get(varargin... |
function addbedlog
%ADDBEDLOG Add bed logs to data that is already cropped
% Detailed explanation goes here
% Enable dependecies
initializedependencies;
% Have user select project location and session
location = gui_locationselect;
session = gui_sessionselect;
% Construct project paths
Paths = initializepaths(loc... |
function p = pmf(p)
% Tabular Factor has a pmf method, which returns the factor as a Matlab double
% matrix. When the input p is a TabularFactor object, that function is
% dispatched. When p is already a double, this function is called and nothing
% needs to be done.
warning('pmf not a method')
end |
function k = mygausskernel( std , nstds )
maxi = round(std * nstds);
a = [ normpdf(0,0,std) zeros(1,maxi) ];
for i = 1 : maxi
a(1+i) = normpdf( i , 0 , std );
end
k = [ a(end:-1:2) a ];
k = k / sum(k);
|
N = 10;
index = 200:200+N; index = 1:251;
scale = 300;
x = scale*xData(index)';
y = zxData(index)';
Ns = 1000;
xs = linspace(min(x), max(x), Ns)';
%meanfunc = []; % empty: don't use a mean function
meanfunc = @meanConst; % empty: don't use a mean function
covfunc = @covSEiso; ... |
% Initialise model
T = 1;
F = kron(eye(2),[1 T; 0 1]);
Q = 0.01*kron(eye(2),[T^3/3 T^2/2; T^2/2 T]);
H = kron(eye(2),[1 0]);
R = 4* eye(2);
chol_R=chol(R)';
p_d=0.90;
p_s=0.99;
Area=[300 300];
Nsteps=81; %Considered number of time steps in the simulation
%Negative binomial clutter parameters
l_clutter=10; %Mean ... |
function matNI_extractROIsfromSPM12labels(label_nifti_file)
%matNI_extractROIsfromSPM12labels Grab ROIs from SPM12 Atlas
% Loads labelled NIFTI file and finds matching xml file and outputs all
% of the ROIs as separate files for ROI extraction.
%
% Syntax: matNI_extractROIsfromSPM12labels(label_nifti_file)
%
% Inp... |
function rm_idx = detect_high_variance_epochs(X_epo, threshold, show_plot, perc_factor)
%
% rm_idx = detect_high_variance_epochs(X_epo, threshold, show_plot)
%
% Displays epoch-wise variance and detects epochs with variance higher than
% a given or internally computed threshold. This is useful for the
% detection of a... |
% Funçãoo que recebe aposição do Satelite em xyz, o pseudorange e a posição da Ground Station em xyz. Devolve o erro do pesudo-range para este satelite.
function satellites_prerror = gs_error(sat_pos,pr,base_pos)
for i=1:size(sat_pos,1)
for j=1:size(pr,1)
if sat_pos(i,1) == pr(j,1)
r=[sat_pos(i,... |
% Matlab script to process the outputs of SPARTACUS-Surface run on
% five "actual" RAMI-V scenes numbered 0-4
is_rami4 = 0;
for iscene = 0:4
process_spartacus
end
|
function getSpectrum(source,eventdata)
global panels displayStatus
[p d] = selectedSensor();
[yData time] = timeSubset(displayStatus.tLims,panels(p).data(d).time,panels(p).data(d).yData);
%resampling delta time
dt=5/1440;%5 minutes
doDetrend=1;
keepMean=0... |
function [Cn Rn]= reorderStages(data, labels, v, C)
%reorderStages
%labesl = {0, 1}
%v is rejection distribution vector
%C is array of structures representing the stage classifier, numel(C) ==
%numel(v)
%total stages
T = numel(v);
%positive rejection fraction
p = 0;
%execution time
m = 0;
labels = labels(:)';
b = su... |
function [HHH,Sig, NsigMAP]=GaussianSTD_MAP(ima,ps)
% Pierrick Coupe - pierrick.coupe@gmail.com
% Brain Imaging Center, Montreal Neurological Institute.
% Mc Gill University
%
% Copyright (C) 2010 Pierrick Coupe
double(ima);
s=size(ima);
if(min(ima(:))<0)
ima = ima - min(ima(:));
end
% Estimation of the zeros p... |
clear all; close all; clc
%% 071917
% datafolder='C:\Users\A. K. Moore\Desktop\ALL MATLAB\071917_001';
% mVLineAt=0;
%
% filename='daqout_071917_001_004.mat'
% snippets(1).sec=[10 20];
% snippets(1).sec=[30 60];
%
% filename='daqout_071917_001_005.mat'
% snippets(1).sec=[1 30];
% snippets(2).sec=[30 60];
%
% fil... |
function [newimg] = focusOnCenterRemove(img,window,slide)
width = size(img,2);
height = size(img,1);
colordepth = size(img,3);
windowsize = window*window;
centerwidth = width/2;
centerheight = height/2;
maxdistance = ((width/2)^2+(height/2)^2)^.5;
newimg = img;
window_r = 0;
window_g = 0;
window_b = 0;
p_blackthresh... |
function [varargout] = pdwtsMM(n,varargin)
%-------------------------------------------------------------------------------
% USAGE of "pdwtsMM".
%
% L = pdwtsMM(n)
% L = pdwtsMM(n,xyrange)
% [L1,L2,L] = pdwtsMM(n)
% [L1,L2,L] = pdwtsMM(n,xyrange)
%
% Compute the cubature weights L so that, if Pad is the
% matrix of P... |
function F = LowerRotorS(State)
% 旋翼特性基本测试：模拟旋转塔，无线速度，角速度，横纵变距为0。给定总距，计算受力。
global rho
global Rotor b m_b R A Omega s theta_t I_beta a_0 delta c K_beta e M_beta gamma_s h_R1 x_cg
global theta_0
v_0 = State;
%% 操纵量
theta_1c=0; theta_1s=0;
u_H=50; v_H=0; w_H=0;
u_dot=0; v_dot=0; w_dot=0;
p=0; q=0; r=0;
p_H=0; q_H=0;
... |
function a = fcn_1(a,b,c,d)
global z
global u
global N
global dt
z= a;
u= b;
N=c;
dt=d;
% disp(dt)
end |
%addpath(fullfile(pwd,'TOOLBOX'));
%addpath(fullfile(pwd,'images'));
%Sobel Edge Detection
I = imread('5EJJH.jpg');
I_gray = rgb2gray(I);
I = im2double(I_gray);
f_ori = figure,imshow(I);
message = sprintf('Sobel Edge Detection');
f_c = figure, I_sobel = sobelEdgeDetection(I);
imshow(I_sobel);
%uiwait(msg... |
function [FinalFileName, FinaleDirectoryName] = Look_For_TIFF_Files
dim = 0;
AllDirectories = {};
FinalFileName = {};
FinaleDirectoryName = {};
dirinfo = dir();
% Select the folder where to look for tiff files
% -----------------------------------------------
DirectoryName = uigetdir;
cd(DirectoryName)
... |
function [ output ] = root2( a, b, c )
%Solving quadratic equation numerical coefficients as input (a, b, c)
syms x x1 x2
y = a*x^2 + b*x + c;
x = sqrt(b^2 - 4*a*c);
x1 = (-b + x) / (2*a)
x2 = (-b - x) / (2*a)
end
|
% LIFTFILT フィルタに基本的なリフティングステップの適用
%
% [LoDN,HiDN,LoRN,HiRN] = LIFTFILT(LoD,HiD,LoR,HiR,ELS) は、
% 4つのフィルタ LoD, HiD, LoR and HiR から、
% "基本的なリフティングステップ (elementary lifting step)" (ELS) により
% 得られた LoDN, HiDN, LoRN, HiRN を出力します。
% 4つの入力フィルタは、完全再構成の条件を満たします。
%
% ELS は、つぎのような構造体です:
% - TYPE = ELS.type は、基本的なリフティングステップの ... |
global MCPI_ID MCPI_NM MCPI_TM MCPI_AI MCPI_TI MCPI_MI MCPI_RI MCPI_MP;
MCPI_ID = 1;
MCPI_NM = 2;
MCPI_TM = 3;
MCPI_AI = 4;
MCPI_TI = 5;
MCPI_MI = 6;
MCPI_RI = 7;
MCPI_MP = 8; |
clear all
close all
clc
format long
%N=100
M=2 ; N=6
A=[zeros(1,N-1) 0; eye(N-1) zeros(N-1,1)]; % stem
N=length(A);
I=eye(N);
I1=eye(M);
B=rand(N,M);
B=orth(B);
%B=I(:,1:M)
%B=[-0.666549601221895,0.258757856602330;-0.529674783868792,-0.240268472171118;-0.300205473874438,0.714625909757013;-0.43015453723087... |
function x=ifftGPU(x,m,FH,NX)
%IFFTGPU Configurable GPU-based IDFT computation
% X=IFFTGPU(X,M,{F},{NY})
% * X is the array on which to apply the IDFT (Inverse Discrete Fourier
% Transform)
% * M is the direction along which to apply the IDFT
% * {F} is a IDFT matrix (or any other square matrix) provided b... |
%% In this code, we illustrate the use of the linear topology for
% the cluster units in a Kohonen self-ofganizing map to sole a classic
% problem in constrained optimization, the so-called traveling salesman
% problem(TSP). The aim of the TSP is to find a tour of a given set of
% cities that is of minimum length. A to... |
function sensingOrder = determineSensingOrder(SRBM, nb_act, nb_ADC)
%DETERMINESENSINGORDER Determines in what order channels should be digitzed
%for this specific SRBM
sensingOrder_prep = [];
for i=1:size(SRBM,2)
c = SRBM(:,i);
c = (c~=0);
ind = find(c);
for j = 1:nb_act
if (~ismember(ind(j),se... |
function podpis(x,y)
xlabel(x,'interpreter','latex')
ylabel(y,'interpreter','latex')
|
varZ=1;
%[1]Use your own a and b.
a=0.2699;
b=0.032;
n=2000;
maxlags=150;
%
m=1;
h = -maxlags:maxlags;
yx = zeros(size(h));
yx(maxlags) = (varZ^(2)*(a*(1.36-0.6*a)-0.6*(1-0.25*b^(2))))/((1+0.5*b)*a^2-(1-0.25*b^(2))*(1-0.5*b));
yx(maxlags+1) = (0.6*varZ^(2)-yx(2)*(1-0.5*b))/a; |
function defineTestbedPortMapping()
%defineTestbedPortMapping()
%
%This function will set the portmapping of any node
%that you hardcoded into this file
%
% "Copyright (c) 2000 and The Regents of the University of California. All rights reserved.
%
% Permission to use, copy, modify, and distribute this soft... |
function [d_s] = beam_gen_exhaustive(RX_measure_report,Beam_index_report, RX_full_measure)
%BEAM GROUP GENERATION USING EXHAUSTIVE SEARCH
load global_params_incr.mat;
N_u = size(RX_measure_report,2);
clients = 1:1:N_u;
[~,ind] = sort(Beam_index_report(Nap_bw,clients));
clients = clients(ind);
... |
function rgb = red
rgb = [192,0,0]/255;
end |
function analyze_cwd(OPTS, TEST_DATA)
% Analyze complex impulse responses from measurements
% Author: Rick Candell
% Organization: National Institute of Standards and Technology
% Email: rick.candell@nist.gov
set(0,'DefaultFigureWindowStyle','docked')
set(0, 'DefaultFigureVisible', 'on')
TESTING = false;
if nargin ==... |
function [ new ] = desiRawFilter( mz,fq,rp )
%desiRawFilter - using a fixed resolving power, determine the frequency of
%specific peaks...
% Determine HWHM for each m/z
hw = (mz / rp) / 2;
ll = mz - hw;
hl = mz + hw;
% Convert to indices (considering that mz is fixed Da width)
df = median(diff(mz));
idx = round((mz-m... |
figure();
L=256;
m=L/2;
r = linspace(0, 256, 256);
hold on;
xlim([0,256]);
for E = [1/5, 1/10, 1/20, 1/30, 1/40]
s = 0.5-0.5*(1./(1+exp(-(r-m)*E))-0.5)./(1./(1+exp(m*E))-0.5);
plot(r,s,'DisplayName',strcat('E=', num2str(E)));
end
legend;
print('figures/problem3','-dpng');
|
function Resamples = subfuncBootStrapResamples(Nboot,NSub,Stratification)
Resamples = uint16(zeros(NSub,Nboot));
if ~isempty(Stratification)
Gr1 = find(Stratification == 0);
NGr1 = length(Gr1);
Gr2 = find(Stratification == 1);
NGr2 = length(Gr2);
else
NGr1 = [];
NGr2 = [];
end
for i = 1:Nboot... |
function [phan, map, roi] = loadMaterialsPhantomKvmv(p )
% Load Materials Phantom
%
% Copyright (c) 2010-2012 by Andreas Keil, Stanford University.
% Modified by Meng Wu at 2012.9
fprintf(['Loading material phantom "' p.Phantom.materialsFileName '" with material mapping "' p.Phantom.materialMappingName '"... ']);
% r... |
function L = ddf(f,ff)
% DISTINCT DEGREE FACTORIZATION
L = {};
h = ff.rem(ff,[-Inf 0],f);
k = 0;
[p,n] = ff.gfgetpn(ff);
q = p^n;
while ~isequal(f,ff.one)
hacum = ff.one;
for i = 1:q
hacum = ff.prod(ff,hacum,h);
end
h = hacum;
h = ff.rem(ff,h,f);
k = k + 1;
g = euclid_u(ff.minus(ff,... |
% the r values created
R = linspace(0, 3, 1000);
% xVec contains the values of xns to be plotted
xVec = zeros(1,1000);
% loop goes through every single r value
for m = 1:1000;
% r value and coefficients defined
r = R(1,m);
rVec = linspace (r,r,1000);
poly = [-R(1,m), 1+R(1,m), 0];
x0 = 0.1;
% th... |
%% Stelling 1
%
% Programmeurs gebruiken nooit logische operatoren
% bij het maken van beslissingen m.b.v. code.
%
Antwoord = 0;
|
function varargout = construct_image_from_scan(filename)
data_dot = load(filename);
data1 = data_dot;
data1(:,1:3) = roundP(data_dot(:,1:3),0);
N = size(data1,1);
% fix irregularities in stepsize in A1
pos_A1_round = roundP(data_dot(:,1),0);
% vec_stepsize_A1 = 0:max(diff(unique(pos_A1_round)));
vec_stepsiz... |
function parameters = mesh_constructCGALparameters(paramIn)
fieldNames = fieldnames(paramIn);
for i = 1 : length(fieldNames)
if i == 1
parameters = [' ', num2str(paramIn.(fieldNames{i})), ' '];
else
parameters = [parameters, num2str(paramIn.(fieldNames{i})), ... |
profile on
run Basic_Demo.m
profile off
profile viewer
|
%
% CONTROLOPTIMIZATIONSIMPLE.M
% Summary: This script demonstrates how one could optimize turbine control
% settings offline or in real time for the FLORIS model using a known
% ambient condition (wind speed, direction, TI). In this example case,
% first the yaw angles are optimized under greedy torque control, and
% ... |
function f = f214(x)
% Computes the output to both objective functions for Q2.14 in Optimization
% textbook by Belegundu et al.
A = 15 * cos(x);
B = 15 * sin(x);
x_min = min(-5, A - 10);
y_min = min(-5, B - 10);
x_max = max(5, A + 10);
y_max = max(5, B + 10);
AA = x_max - x_min;
BB = y_max - y_min;
f1 = AA * BB; % ... |
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