text stringlengths 8 6.12M |
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clear
load('wind.mat')
savefile = 'samples_NMG.mat';
T = 108;
p = 2;
% number of bootstrap samples
B = 200;
% initial computation
[r, h0_cell] = init_comp_NMG(n, theta, phi, x, y, z);
beta_all = [0.016283 -0.004629 0.002649 0.011662 2.867271 14.523555 0.270156 0.343079 0.720569 0.830202 0.212515 0.194964];
a1 = be... |
function evaluate_all(annotations_folder, output_folder)
fprintf('%s\n', output_folder);
output_files = dir(output_folder);
Fscores = [];
categories = [];
threshes = [0.5 0.7 0.9];
scores = zeros(length(threshes),1);
for j = 1:length(threshes)
thresh = threshes(j);
for i = 1:length(output_files)
fil... |
clf;
s = get(0, 'ScreenSize');
figure('Units','normalized','Position',[0 0 2 2])
plot (rand (5));
title ('legend ("show") without inputs creates default labels');
|
%This function actually creates the TCP curve
%Andrew Dhawan
%9th April 2017
%Takes in the max dose given to the patient, alpha, beta radiosensitivity
%parameters, the growth rate following radiotherapy, dose to the patient in
%each fraction, the percentage of this dose in the AM (if hyperfractionated
%schedule is cons... |
%Rewritten program for HPB
close;
%clear all;
clc;
disp('IMAGING SIMULATOR by Kees Kroep');
%Initialize and process given values and parameters
S_Resolution = 1E-3; %distance between voxels
S_Start = [0,0,0]; % the s tartlocation of the sourcespace
S_Directions = [32,32,32];
%V_Slices = [1,3,5,7]; % four slices out ... |
function [geomData] = geomDataOfCircularHoles(holes)
% holes are described by xc, yc and r
nHoles = size(holes,1);
geomData = zeros(12,4*nHoles); % each hole has 4 segments
geomData(1,:) = 1; % circle
geomData(6,:) = 0; % holes have domain to the right as we move clock wise
geomData(7,:) = 1;
xy = zeros(4*nHoles,2);... |
function [vmap] = sol(nx,ny,left_b, right_b, bot_b, top_b, d)
% -- Inputs
% nx = length of region
% ny = height of region
% left_b = left boundary
% right_b = right boundary
% bot_b = bottom boundary
% top_b = top boundary
% -- Ouputs
% vmap = potential map
g = sparse(nx*ny, nx*ny); % g matrix
f = zeros(nx*n... |
function out=JacBdotgrad(arg,iota,Nperiods)
%Assumes Boozer coordinates
gr=grad(arg,Nperiods);
out=gr(1)*iota + gr(2);
|
function fn = normal(mean_, std_, w_)
% normal Create function proportional to log of Normal distribution.
%
% Syntax
% =======
%
% fn = logdist.normal(mean, stdev, w)
%
%
% Input arguments
% ================
%
% * `mean_` [ numeric ] - Mean of the normal distribution.
%
% * `stdev` [ numeric ] - Std... |
%% run_figs
WD = pwd;
nm = select;
cd('../../entries/Homo_sapiens');
n = length(nm);
for i=1:n
cd (['../',nm{i}])
eval(['run_', nm{i}]);
end
cd(WD) |
%{
vis2p.StatsSim (computed) #
movie_num : varchar(20) # the number of the movie shown
movie_type : varchar(10) # the type of movie shown
sim_traces_opt : smallint unsigned #
sim_opt : smallint unsigned #
---
p_spars : mediumblob ... |
function G = ft2(g, delta)
% function G = ft2(g, delta)
g1 = fftshift(g);
g1(isnan(g1))=0;
g2 = fft2(g1);
g2(isnan(g2))=0;
G = fftshift(g2);
G(isnan(G))=0;
G = G*delta^2;
%G = fftshift(fft2(fftshift(g))) * delta^2; |
function [MIlast]=MI_last_added(data,col_order)
% [MIlast]=MI_last_added(data,col_order)
%
%calculates the mutual information of the last station in col order with
%the combined information in the other stations in col order
% input
% data : quantized data, N rows (time steps), M columns (variables)
% col_order: ... |
function A=build_A(FV,P,loc,FF)
% A=build_A(FV,P,loc,FF)
% Function that evaluates FEM basis function at locations loc
%
% INPUTS:
% FV : Facet-vertex matrix for 2D problem
% P : mesh nodes
% loc : locations where the functions should be evaluated
% FF : Facet-facet matrix for 2D problems
% OUTPUTS:
% A : Mat... |
Data = importdata(fullfile(fIno,f{iV},fstruct(iO).name));
[~,Maps ] = reshapeData([Data.data(:,1:2) ...
zeros(length(Data.data(:,1)),1) Data.data(:,4:6)]);
Maps.X = Maps.X1; Maps.Y = Maps.Y1; Maps.Z = Maps.Z1;
Maps.Ux = Maps.Ux; Maps.Uy = Maps.Uy; Maps.U... |
classdef rr_ring < qes.waveform.waveform
% resonator readout with ring
% Copyright 2017 Yulin Wu, USTC
% mail4ywu@gmail.com/mail4ywu@icloud.com
methods
function obj = rr_ring(length, amplitude, edgeWidth, ringWidth, ringAmplitude)
obj.jWaveform = com.qos.waveform.RRRing(length, amplitude, edgeWidt... |
function BetaWaveAnalysis()
%% Load the data
load("Subject1_2D.mat")
%% Create Topoplots
loc = readlocs('standard-10-5-cap385.elp');
% Extract desired channels:
% FP1 FP2 F3 F4 C3 C4 P3 P4 O1 O2 F7 F8 T3 T4 T5 T6 FZ CZ PZ
desiredChans = {'Fp1', 'Fp2', 'F3', 'F4', 'C3', 'C4', '... |
clc
close all
addpath ./Track
track = Track(3, 2.2, 0.4);
%%gear ratio
Rp=0.025; %%pulley radius [m]
m=0.3; %%mass of car [kg]
G=m*9.81;
mu=0.3; %% friction coefficient
Tms=0.021;
Icur=0.65;
Tm=(Icur-0.021)*Tms/(1.8-0.021); %%motor load torque [Nm] - from characteristics
x=0:0.1:7;
slope = track.slope(x);
Fn=G.... |
function [area_mask,area_names] = make_area_mask(fpath,params,save_dir)
%Params
max_x = params.max_x;
min_x = params.min_x;
max_y = params.max_y;
min_y = params.min_y;
um_per_pixel = params.um_per_pixel;
size_pixels = params.size_pixels;
zoom_largest_FOV = params.zoom_largest_FOV;
%Get the file location and names
ar... |
%% Exploring discriminating image statistics: eyes vs stripes
%
%
% To do
%
% redo the masks
%
% separate contour stats
%
% put stats measures in functions (options struct)
%
% get the images from the generations
%
% get the statistics on the images and compute averages
%
% shuffle the genes and ... |
I = rgb2gray(imread('chess.jpg'));
BW = edge(I,'canny');
[H,T,R] = hough(BW);
P = houghpeaks(H,15,'threshold',ceil(0.3*max(H(:))));
x = T(P(:,2));
y = R(P(:,1));
%H = imadjust(mat2gray(H))
figure1 = figure
ax = gca
%xlim(ax,[-90,90])
%ylim(ax,[0,700])
hold on
imagesc(H)
plot(T(P(:,2))+91,R(P(:,1))+975/2,'s',... |
function save_historical_data(obj, historical_save_pathname)
% 保存historical_data
%{
输入: historical_save_pathname数据的保存路径
cd 或
'F:\myDriversFile\MyDriversMatlab\Mfiles12\optionStraddleTrading'
%}
if ~exist('historical_save_pathname', 'var')
historical_save_pathname = [ pwd, '\historical\' ];
end
% create path
if is... |
function os = iou(boxes, gts)
% Given N1 boxes and N2 ground truth boxes, computes IoU (Intersection
% over Union) score of each box wrt each ground truth box resulting in
% an N1 x N2 score matrix.
%
% Parameters
% ----------
% boxes : N1 x 4 matrix of box coordinates
% gts : N2 x 4 m... |
function Pats = MakePat(PatSize, PMaker, Pinit)
%MakePat.m
% e.g. for these values
%PatSize = [8 8];
%NumFrames = 10;
%PMaker(1).Command = 'ShiftMatrix(Min, 1, ''r'', ''y'')'
%PMaker(1).Times = 3;
NumSteps = length(PMaker);
SumFrames = 0;
for j = 1:NumSteps
SumFrames = SumFrames + PMaker(j).Times;
end
SumFrames
%... |
function gst = FK_func(q1,q2,q3,q4,q5,q6)
%FK_FUNC
% GST = FK_FUNC(Q1,Q2,Q3,Q4,Q5,Q6)
% This function was generated by the Symbolic Math Toolbox version 8.1.
% 26-Sep-2018 17:51:45
t2 = cos(q1);
t3 = cos(q2);
t4 = cos(q3);
t5 = sin(q2);
t6 = sin(q3);
t7 = cos(q4);
t8 = sin(q1);
t9 = sin(q4);
t10 = t2.*t3.*t6... |
datcom=readtable('datatable.csv')
cn=readtable('cn.csv')
ax1=subplot(5,1,1)
plot(ax1,cn.Var1,cn.cn_b,'LineWidth',2)
hold on
plot(ax1,datcom.alpha,datcom.cn_b,'LineWidth',2,'Color','r','LineStyle','--')
ylabel(ax1,'C_{n_{\beta}}')
hold off
leg=legend('estimated value','actual value','Orientation','Horizontal','Position... |
%% Stelling 23
%
% De else-statement van een if-else-statement wordt
% uitgevoerd als de expressie false is.
%
Antwoord = NaN; % vul hier het juiste antwoord in 1 (WAAR) of 0 (ONWAAR)
|
load('cells.mat');
data = cells;
% Graphing Actual Tumor Cell Count
global y
global tumorPlot
y = [0,10,12,14,16,18,20,22];
tumorCnt = 0;
tumorPlot(1) = 100000;
for k = 1:length(data(1,1,1,:))
for i = 1:length(data(1,1,:,k))
tumorCntInverted = sum(data(:,:,i,k))';
tumorCnt = tumorCnt + sum(tu... |
function IRout = altphaseIR3 (IRin, minF, maxF, Fact)
%function IRout = altphaseIR3 (IRin, minF, maxF, Fact)
% adds noise to phase spectrum of IR within frequency band
% argins:
% IRin
% minF
% maxF
% Fact (+/- radians to change, ranges from 0 to pi)
%
% in progress to allow multiple frequency bands
i... |
clc;
clear all;
x = input("Enter number: ");
factorial(x) |
%% DOCUMENTATION
% OBJECTIVES
% This code is used for extract TDD features based on "action recognition
% with trajectory-pooled deep-convolutional descriptors' paper
%% DEPENDENCIES
% 1. Caffe
% 2. ITF project
% 3. Dense flow
% 4. OpenCV 2.49
% All dependencies located in the same folder with my 'tdd ... |
function [pot, force, walltime] = SE3P_Laplace_fourier_space(eval_idx, x, f, opt)
% SE3P_LAPLACE_FOURIER_SPACE
% Compute Fourier-space part of Ewald sum for 3-periodic electrostatic potential,
% using the Spectral Ewald method.
%
% pot = SE3P_Laplace_fourier_space(eval_idx, x, f, opt)
% Return potential
%
% [pot, for... |
function [is_interactive, used_FEs, alpha, errub]=identify_interaction_by_best_worst(fname, func_num, src_group, des_group, lb, ub, lbFit, flag)
is_interactive = 0;
used_FEs = 0;
dim = size(lb, 2);
ind2 = lb;
ind2(src_group) = ub(src_group);
[val2, g2, h2] = feval(fname, ind2, func_num);
ind3 = lb;... |
%% Virtual Enigma
AllChars=['ABCDEFGHIJKLMNOPQRSTUVWXYZ'];
numChar=length(AllChars);
CipherText=[];
%Use ComposePermutation(A,B) to compose
%Database
%All of the variables are compressed; When in use, expand using
%VAR=[AllChars;VAR] where VAR is the variable to expand for composition
%Rotors
I=['EKMFLGDQVZNTOWYH... |
%% Outflow.m
% To create a vector of outlet volumetric flowrates for every flowtest sampling time
% (i.e. 10s intervals from time of injection to time of termination)
% NOTE: ' => ' indicates where user inputs are required
% Requires:
% 1. full flowtest sampling time vector - hrs since injection f... |
function f = fminGoldStandardRadial(k, P, xy, XYZ, w)
%reassemble P
% P = [p(1,1:4);p(1,5:8);p(1,9:12)];
% factorize camera matrix in to K, R and t
[K R t] = decompose(P);
%compute squared geometric error with radial distortion
xy_new = P * XYZ; % reprojection (XYZ has been homogeneous representation)
xy_new = xy_new... |
%% Frequency change of EMF with Velocity Variation
%% Calculate Magnetic Field (without v (velocity of RBCs))
clear all
clc
N_p = 30; % number of particle
d_int = 1e-4; % interparticle spacing
N = 1; % Number of positive point charge consisting a group / (2.464e-12 / 1.6e-19)
dura = 0.0005;
interval = 1e-6;
graphTy... |
% Developed by Arian Shoari. Copyright 2017 John Foxe's Lab, University of Rochester.
% Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
% http://www.apache.org/licenses/LICENSE-2.0
% Unless agreed t... |
function [fval] = colourfulness(frame)
height = size(frame,1);
width = size(frame,2);
colorfulImg = uint8(randi([0 255],height,width,3));
nbins = 4;
ca = rgbhist(colorfulImg, nbins);
cb = rgbhist(frame, nbins);
ha = reshape(0:length(ca)-1,[length(ca),1]);
hb = reshape(0:length(cb)-1,[length(cb),1]);
% Features
f1 ... |
function [ distance_field ] = initialize_distance_field( size, center, margin, value)
distance_field = zeros(size);
distance_field(center(1)-margin(1):center(1)+margin(1),...
center(2)-margin(2):center(2)+margin(2),...
center(3)-margin(3):center(3)+margin(3)) = value*2;
distance_field = distance_field - value... |
l1 = 1; % length of first arm
l2 = 1; % length of second arm
theta1 = -(3*pi/2):0.1:(3*pi/2); % all possible theta1 values
theta2 = -(3*pi/4):0.1:(3*pi/4); % all possible theta2 values
[THETA1, THETA2] = meshgrid(theta1, theta2); % generate a grid of theta1 and theta2 values
X = l1 * cos(THETA1) + l2 * cos(T... |
%adding in flap deflection effects
% Initialisation
clear
close all
fclose('all');
addpath('../jsonlab-1.5/');
datapath = '..\data';
master_data = loadjson([datapath filesep 'master_data.json']);
subsonic_aero_data = loadjson([datapath filesep 'subsonic_aero_data.json']);
%data
load('NACA64a_flap_data.mat');
%input... |
% Program Analyze an Image and Get color
%I = imread('yoo.png');
%imshow(I(:,:,3))
% Extracts the RGB of each pixel in the image
%r = I(:,:,1);
%g = I(:,:,2);
%b = I(:,:,3);
%r = reshape(I(:,:,1),1,[]); %There should be away to easilt index throughout the matrix
%g = reshape(I(:,:,2),1,[]);
%b = reshape(I(:... |
classdef IQMixerCalibrator < Measurement
% do IQ Mixer calibration
% a wrapper that managers the mecessary waveforms and measurement,
% uses the Optimizer class internally to do the real work.
% Copyright 2016 Yulin Wu, Institute of Physics, Chinese Academy of Sciences
% mail4ywu@gmail.com/mail4ywu@icloud... |
% Returns the index of a mesh in the Mesh struct
function meshIndex = findMesh(meshes,name)
meshIndex = 0;
for i=1:length(meshes.mesh)
if strcmp(meshes.mesh(i).Comment,name)
meshIndex = i;
end
end
if meshIndex==0
error('Could not find mesh');
end
end |
function Jenkin_data = getData(field)
%Clear data
clc
%Load xml_data_descriptor file by OS.
xml_data_descriptor = 'data/data-descriptor.xml';
if ispc
xml_data_descriptor = 'data\data-descriptor.xml';
end
xmlDoc = xmlread(xml_data_descriptor);
%Get root element
... |
function Q = read_raw_EMP_data(caseNum)
for j = 1:5
myString = append('Data/Case ', num2str(j), ' Empirical Data');
addpath(myString);
myString = append('Case ', num2str(j), ' Empirical Data/FOV ',num2str(1));
T = readtable(myString);
T = table2array(T);
myString = append('Case ', num2str(j), ' Empirical Data/FOV ',num... |
%% Opdracht 3
% In de onderstaande code staan fouten. Los de foutmelding op. Let op! Bij
% het oplossen mag je geen variabelen verwijderen.
balVast = logical([1 1 1 1 1 0 0 0 0 0 0 0 0 1 1 1]);
Pos = [30 31 33 35 38 36 34 32 30 28 26 24 22 22 23 24];
relevantPos = Pos(not(balVast));
naarVoren = diff(relevantPos);
[x,i... |
%% Prework
clear all; clc;
load('outlier_tfs_vs_startdosis.mat');
outlier_tfs_vs_startdosis=table2cell(Patients3MbqPatientendaten);
%% single ROI watch
%% both ROI watch
|
Het is mogelijk Excel bestanden met Matlab te lezen
door de functie xlsread() te gebruiken. |
function a = readSPC
fid = fopen ('c:\ryohei\matlab\image-bead.sdt', 'r')
a.header.spc_revision = fread(fid, 1, 'int16')
a.header.info_offset = fread(fid, 1, 'int32')
a.header.info_length = fread(fid, 1, 'int16')
a.header.setup_offset = fread(fid, 1, 'int32')
a.header.setup_length = fread(fid, 1, 'int16')
a.header.data... |
%--------------------
% Initial Set-up Stuff
%--------------------
% Clear the workspace and the screen
sca;
close all;
clearvars;
% Setup PTB with some default values
PsychDefaultSetup(2);
% Set the screen number to the external secondary monitor if there is one
% connected
screenNumber = max(Screen('Screens'));
% ... |
function [cartype,plaza,v,vmax,vave]=move_forward(cartype,plaza,v,vmax,Gsafe);
[L,W]=size(plaza);% The size of the lane
% Compute values to get type of cars: turn left or stay
gap=zeros(L,W);
for lanes=2:W-1;
temp=find(plaza(:,lanes)==1);
nn=length(temp);% The number of the cars in the... |
function [maxAPnum,InstFR,totFR,maxInstFR,maxtotFR] = firingRateAnalysis(APnum,peakLoc)
% This function calculates the instantaneous and total FR of the sweeps.
% The inputs it needs are the APnum and the peakLoc
% 1) Absolute number of APs during the 1 s stimulation
maxAPnum = max(APnum);
% sweep with max. APnum
swe... |
function [ out ] = parse_txt(path, bmp)
bmp = 60 / bmp;
strs = textread(path, '%s');
n = length(strs);
keys = 'C D EF G A B';
out = zeros(0, 3);
tot = 0;
for i = 1:n
str = strs{i};
cur = 1;
a = str2double(str(cur));
cur = cur + 1;
ch = str(cur);
... |
%{
# reference.ProjectUser
-> reference.Project
-> reference.User
%}
classdef ProjectUser < dj.Manual
end |
aframes = Args.NumFrames;
% check division of numframes into sub-bins
sbinsperframe = framebins/aframes;
if(rem(sbinsperframe,1)==0)
% we can just do one histogram and reuse the values
dafv = diff(afv);
binsizes = dafv/sbinsperframe;
mat1 = tril(ones(sbinsperframe));
mat2 = [afv... |
satdata.epoch = app.Mjd_epoch.Value;
%satdata.bulletin_number = ID;
%satdata.classification = SC; % almost always 'U'
%satdata.revolution_number = rNo;
%satdata.ephemeris_type = Etype;
ge = 398600.4418; % Earth gravitational constant
satdata.xmo = app.MeanN.Value;
satdata.xnodeo = app.raad.Value;
satdata.omegao = app.o... |
N=numnodes(Graph_Roads);
J=numnodes(Graph_Inter);
L=plot(Graph_Inter,'XData',Graph_Inter.Nodes.XData,'YData',Graph_Inter.Nodes.YData);
L.NodeColor='k';
L.EdgeColor='k';
L.LineWidth=2;
L.EdgeAlpha=1;
L.MarkerSize=4;
L.ArrowSize=12;
L.NodeLabel={};
L.EdgeLabel=arrayfun(@num2str,1:N,'UniformOutput',0);
axis equal
Variab... |
function [] = define_global_opt()
% This function is used to define global variables used in the simulation.
global iPO2 idPsi iH_x iATP_x iADP_x iAMP_x iGTP_x iGDP_x iPI_x iNADH_x iQH2_x ...
iOAA_x iACCOA_x iCIT_x iICIT_x iAKG_x iSCOA_x iCOASH_x iSUC_x iFUM_x ...
iMAL_x iGLU_x iASP_x iK_x iMg_x iCO2tot_... |
function sl = slink(l)
sl = Link(l); % clone the link
if sl.alpha == pi/2
sl.alpha = sym('pi/2');
end
if sl.alpha == -pi/2
sl.alpha = sym('-pi/2');
end
if sl.alpha == pi
sl.alpha = sym('pi');
end
if sl.alpha == -pi
sl.alpha = sym('-pi');
... |
r = 1;
g = 2;
b = 3;
%Swap the red and blue pixels of image 1
img = imread('input/4.1.05.png');
tmp = img(:,:,r);
img(:,:,r) = img(:,:,b);
img(:,:,b) = tmp;
imwrite(img,'output/ps0-2-a-1.png');
%Create a monochrome image (img1_green) by selecting the green channel of image 1
img1 = imread('input/4.1.05.png');
img_... |
% ************************************************************
%
% dijkstra.m
%
% The program computes the shortest path in a network
% using Dijkstra's algorithm.
%
% The example and the Algorithm is taken from
% Worboys, M. F., and M. Duckham, 2004.
% GIS: A Computing Perspective, 2nd edition. T... |
function line = getLine(p1,p2)
if p1(1) == p2(1) % if it is a vertical line
line = [NaN p1(1)]; % line(2) is x cross line
else
line = polyfit([p1(1) p2(1)],[p1(2) p2(2)],1);
end |
%% fn_imdistline
%% Syntax
% fn_imdistline
%% Description
% enhanced version of Malab IMDISTLINE
%% Source
% Copyright 2005-2012 The MathWorks, Inc.
%
% Copyright 2009-2012 Thomas Deneux
%
|
function MultiMotorVisuals(hfig,betas,cIX_in,gIX_in)
%% get coefficients from multiple linear regression
% cIX_in = getappdata(hfig,'cIX');
% gIX_in = getappdata(hfig,'gIX_betas');
% betas = getappdata(hfig,'betas');
stimcorr = max(betas(:,1:end-3),[],2);
motorcorr = max(betas(:,end-2:end),[],2);
% figure;scatter(stimc... |
function pattern_array = split_pattern( pattern, cuts, type )
%pattern_array = split_pattern( pattern, cuts, type )
% Function that takes a temporal pattern and splits it into a cell array
% of patterns according to a given temporal segmentation
% Inputs:
% pattern -- A movie or a feature representation of f... |
function WriteStarFileStruct(s,dataName,fileName,activeFlags)
% function WriteStarFileStruct(s,dataName,fileName,activeFlags)
% function WriteStarFileStruct(s,FID)
% Write a STAR file from the fields of the struct s. These fields are
% assumed to be numeric or cell arrays (of strings). The arrays must all
% have the ... |
clear all;
addpath 'MATLAB'
cd ..
classes = cell(1,2);classes{1}='Happy';classes{2}='Sad';
for i=1:numel(classes)
extractorForClass(classes{i});
end
extractorForClass('Test'); |
x=0:.05:6;
f = x.^3-6*x.^2+9*x-4;
k=1;
dz=10;
z=6;
r(k)=z;
while abs(dz) >.1
Df= z^3-6*z^2+9*z -4;
s(k)=Df;
r(k)=z;
J = 3*z^2-12*z+9;
dz=-Df/J;
z=z+dz;
k=k+2;
r(k-1)=z;
s(k-1)=0;
r(k)=z;
s(k)=Df;
end
h=zeros(1,length(x));
plot(x,f,'-', x,h,'-', r,s,'-'),grid
xlabel('x')
text(3.0, 30,'f(x) = x^3-6x... |
%% General dispersion relation maker proof of concept
function CmprEigIsoDispVsGeneral
CurrentDir = pwd;
addpath( genpath( CurrentDir) );
Interactions = 1;
Diffusion = 1;
AnisoDiff = 1;
SparseMat = 0;
SaveMe = 0;
ModeX = 0;
ModeY = 1;
vD = 100;
bcE = 1.6; % Equilbirum bc
bcP = 1.6; % Per... |
% Parameter: lcavol lweight age lbph svi lcp gleason pgg45 lpsa train (F/T)
function linreg
% =======
% TASK 1
% =======
tra = dlmread('prostate-tra.mat', ' ');
tes = dlmread('prostate-tes.mat', ' ');
% Convenience
traIn = tra(:,1:end-1);
tesIn = tes(:,1:end-1);
traOut = tra(:, end);
tesOut = te... |
% Calculate human links
function [l1, l2] = cal_human_links(filename)
% read file
total_output = viz_convert_adulthuman(filename);
ini_head = total_output.Head(1,:);
ini_torso = total_output.Torso(1,:);
ini_neck = total_output.Neck(1,:);
ini_RShoulder = total_output.RShoulder(1,:);
ini_RElbo... |
clear;
noise = load('../matnoise/eikonal_avg.mat');
xnode = noise.xnode;
ynode = noise.ynode;
selectperiods = 3:14
pnum = 0;
for ip = fliplr(selectperiods)
pnum = pnum+1;
tomo(pnum).phV = noise.avgtomo(ip).GV;
tomo(pnum).period = noise.periods(ip);
tomo(pnum).avgphV = nanmean(tomo(pnum).phV(:));
tomo(pnum).nois... |
function out = Function1(x)
result1=0;
result2=0;
for i=1:5
result1 = result1 + i* (cosd( (i+1)*x(1) + 1));
end;
for j=1:5
result2 = result2 + j* (cosd((j+1)*x(2) + 1));
end;
out = -result1 * result2;
end
|
%description:
% find the best scale for each edge pixels (based on linderberg approach)
%param:
% edge_norm = normalized gradient norm scale space
% deepness = deepness of the scale space
%result:
% best_scale_nb = image that store for each pixel its best scale number
function best_scale_nb = best_scale... |
%%%%% FIX METADATA by adding metadata that I really wish was there %%%%%%%%
%% Stuff that I keep recomputing that I really ought to save
imNumsDataset = 70:225;
load(fullfile(rootpath, 'code/visualization/stimuliNames.mat'), 'stimuliNames')
catToUse = {'pattern_space', 'pattern_central', 'grating_ori', ...
... |
clear
f0 =128 %Hz
fe =100 %Hz
T = 0.125 %s
A = 5
Te = 1/fe
N = round(T / Te)
t = (0:1:N-1)*Te %vecteur de temps associé
xt = A*cos(2*pi*f0*t)
%Nfft = 2^nextpow2(length(xt))
Nfft = 10*N
spectre = fft(xt, Nfft)/N
spectre_ampl = abs(spectre)
sectre_phase = angle(spectre)
spectre_C = fftshift(spectre_ampl)
subplot(... |
clear a b c
for si=1:10
a(si)=(cs1{si}(2).out.tpr.sav(end,51)+(1-cs1{si}(2).out.fpr.sav(end,51)))/2;
b(si)=(cs2{si}(2).out.tpr.sav(end,51)+(1-cs2{si}(2).out.fpr.sav(end,51)))/2;
c(si)=(cs3{si}(2).out.tpr.sav(end,51)+(1-cs3{si}(2).out.fpr.sav(end,51)))/2;
a(end+1)=mean(a);
b(end+1)=mean(b);
... |
function y = QU1(x,b)
xmax = max(x(:));
xmin = min(x(:));
bit = b; % Numero di bit
N = 2^bit; % Livelli di restituzione
delta = (xmax-xmin)/N; % Passo di quantizzazione
y = delta.*(round(x./delta));
end |
function [J] = costFun(X,y,w)
% this function computes the cost given the parameters, input and output
% varaibles
N = size(X,1); % number of data points
error_sq = [];
% to caculate cost
for i = 1:N
error_sq = [error_sq ((w'*X(i,:)' - y(i,:))^2)]; % to caculate cos
end
error_sq = sum(error_sq);
J = error_sq/(2*... |
function P = clickStim(P, varargin);
% clickStim - compute click stimulus
% P = clickStim(P) computes the waveforms of click stimulus
% The carrier frequencies are given by P.Fcar [Hz], which is a column
% vector (mono) or Nx2 vector (stereo). The remaining parameters are
% taken from the parameter struct P ret... |
%
% irpPixelToRay generates 3d vectors from 2d pixel coordinates.
%
% Usage:
% x_r = irpPixelToRay(x,y,f,s,cc)
%
% return value:
% x_r: 1 x 3 vector with length 1 pointing in direction of the pixel ray
%
% Variables:
% - x: x position in image coordinates
% - y: y position in image coordinates
% - f: focal le... |
clear all;
close all;
A =csvread("1541HelixZPos.csv");
%A =csvread("1540Helix.csv");
S = A(:,3);
x0=A(1,1)
y0=A(1,2)
z0=A(1,3)
X= A(:,1)';
Y= A(:,2)';
Z= A(:,3)';
%Initial Condition
%Initial Guess
Rperp=22; %Radius
Rparl=-10; %Pitch
%Produced by Hough Transform (Central Point)
xp=-54; ... |
function results = phase_diagram_absolute(model, I, alpha_lower, alpha_upper, beta_lower, beta_upper, nalphas, nbetas, plot_time_series, runtime)
%% set up simulation and rate constants
if nargin == 0
model = 'curr_model';
I = 1;
alpha_lower = 0.1;
alpha_upper = 10;
beta_lower = 0.1;
beta_upper ... |
clear all
MOTE = [{'0xc6'} {'0xbb'} {'0x5e'}];
MOTE = [{'0x15'}];
rootDir = './';
Channel = [1];
Collection = 2;
for Collection = 17:17
for k= 1:length(MOTE)
for j = 1:length(Channel)
[float_data,sampleRecord] = openRawSampleRecord(sprintf('%sMote_%s_Channel_%d_Collection_%d', rootDir, ... |
function [hrastfig,hrastaxes] = makerasterfig(position,...
xvals,...
yvals,...
xtext,...
ytext,...
xoffset,...
yoffset,...
numreps,...
tot_dur,...
stim_dur,...
startcount,...
endcount,...
row_space,...
col_space)
background = 'black';
foreground = 'blue';
textcol... |
function VM = oneStepControl2(Tsample,DCMd,DCMc,wb_i,ww_b,Iw_b,sumMOI,Text,Kt,Ke,R,Tb_w1,Tb_w2,Tb_w3,projYZ,projZX,projXY,kxw,kyw,kzw)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%desired DCM in body coordinates, also known as the error between the
%current orientation and the des... |
function L = getRBFLaplacian(fea, opt)
% Given feature vector data fea of size n*m, compute:
% W: the affinity matrix using Radial Basis Kernel
% L: the normalized Laplacian matrix of W
defaults.s = -1;
defaults.reg = -1;
defaults.normalize = 1;
if ~exist('opt','var') || isempty(opt)
opt = struct();
end
opt = mer... |
function moviegogcf(src,eventdata,func_data,func_hdr,fmin,args,myfig,myRange,x,y,z,roi,doAVI,hSlider,hTxt)
% moviegogcf.m - ortho code, executed when Play button pressed.
% Author - Krisanne Litinas
% $Id: moviegogcf.m 740 2013-07-31 14:13:15Z klitinas $
%for count=1:size(func_data,1)
locSlider = get(hSlider,'Value')... |
%read in images
%I and I2 were taken by me
I = imread("myimg1.jpg");
I2 = imread("myimg2.jpg");
I3 = imread("snow1.jpg");
I4 = imread("venice1.jpg");
%convert images to double
Idouble = im2double(I);
I2double = im2double(I2);
I3double = im2double(I3);
I4double = im2double(I4);
%apply img2 function to images. function... |
% open log file for deblocking for the time points of deblocking in a
% format: t1_start t1_end
% t2_start t2_end
% ...
load('log_deblock.mat');
log_deblock = segments;
% sampling frequency is:
sr = 20000;
% list files to be deblocked:
list = dir;
% load each file and deblock i... |
function d = resample(d,varargin)
% resample eye position signal(s) using cubic interpolation
%
% available options are:
%
% fs - desired sample rate (default: 1kHz)
% order - optional median (pre-)filter order
% (default: 1, no median filtering)
% debug - show debugging output (default: fals... |
% AutoCorr: compute auto-correlations for spike-train data
% [tac,indx] = AutoCorr(t,tmax):
% "t" is the time of the spikes
% "tmax" is the maximum absolute time difference to consider
% "tac" contains all time differences less (in abs value) than tmax,
% "indx" contains the indices that contribute to the sampl... |
function [X_norm, mu, sigma] = featureNormalize(X)
%FEATURENORMALIZE Normalizes the features in X
% FEATURENORMALIZE(X) returns a normalized version of X where
% the mean value of each feature is 0 and the standard deviation
% is 1. This is often a good preprocessing step to do when
% working with learning alg... |
function [ mean_amplitude_diff, std_amplitude_diff, amplitudes_diff ] = pp_samplitude_diff( scanpath1,scanpath2, ff_flags )
if nargin<3, firstfixation_flag_default; end
[~,~,amplitudes1]=pp_samplitude(scanpath1,ff_flags(1));
[~,~,amplitudes2]=pp_samplitude(scanpath2,ff_flags(2));
if leng... |
% runs the entire learning loop with various models. Displays
% results too -- good for comparing with Python implementaiton
% addpath starter
% uhh - I removed the starter folder, so I don't know what
% dependencies that will break.
% M = load('/shared/users/dstrauss/ant_net/multiArm/local1.mat');
if matlabpool('s... |
% drug_svm takes:
% master_file_struct
% drug_selection (either SCH23390 or SKF81297, currently)
% current: for that drug selection (usually either 20 or 50)
% straps: the number of crossvalidation iterations to run
% It will create one large matrix of trials from cells which were exposed
% to the chosen drug at the c... |
function [W, b] = learningRule(W, b, P, t)
% The function learningRule implements the perceptron learning
% rule by iterating through the input matrix, P, using the
% perceptron function and comparing it against the target
% values present in the target vector, t. The error is calculated
% and then used t... |
function [L1,L2,L3,P_plus,P_minus] = WellboreKernels(well_mesh,sig_pp,sig_pm,...
sig_mp,sig_mm,Cl,q,Kc,area_ann,rho0,p0,p_atm,u,v,q1,q2,choke_position_ss,epsilon)
well_mesh = well_mesh(2:end-1);
dx = diff(well_mesh);
dx = [dx,dx(end)];
dxi = diff(well_mesh);
dxi = [dxi,dxi(end)];
n = length(well_mesh);
P_uv = n... |
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