text stringlengths 8 6.12M |
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function [im , image_meas] = fx_LIFT_Recon2D(Calib_Res, image_line, lambda_reg, options)
% takes the UTP system information [Calib_Res] and input measurement 1D image
% to reconstruct image [x,y] in focus mode operation
% Calib_Res: the system calibration results
% image_line: the 1D image
% labmda_TV: TV regularizat... |
clear all;
load_params_resonantLoad;
SS_LRQ_commonStart;
%% Assignment 2.4.1 (basic LQR)
% design parameter
r = 1/3000; %3850
% symmetric root locus
sysG = ss(A,B,C,D);
sysGp = ss(-A, -B, C, D);
% plot root locus
% rlocus(sysG*sysGp);
% hold on
%
% rl_poles = rlocus(sysG*sysGp, 1/r);
% plot(real(rl_poles), imag(r... |
function g = sigmoid(z)
%returns the sigmoid value or logistic regression
g = zeros(size(z));
g = 1./(1+exp(-z));
end
%==================== test cases ===================
% sigmoid(-5)
%ans = 0.0066929
% sigmoid(0)
%ans = 0.50000
% sigmoid(5)
%ans = 0.99331
% sigmoid([4 5 6])
%ans =
% 0.98201 0.99331 0... |
function [pos1, idx] = posdistance(pos, dist)
% Extract postions between two successive points over some distance.
%
% Prototype: [pos1, idx] = posdistance(pos, dist)
% Input: pos - postions
% dist - distance setting
% Output: pos1 - postions over the distance
% idx - extract index
%
% See also vn2dpos.... |
% Answers task 3 in Assignment 3 in TMR4240, Fall 2019
%
% Author: Simen Oevereng
%%% Define rudder angle / ship heading transfer function with given constants
K = 1; T = 1;
P = tf([K],[T 1 0]);
%%% Continous-time domain controller transfer function
G = 4*tf([1 1],[1 2]);
%%% Define the cont. CL system and simplify.... |
%% Performing sensitivity analysis using Morris method
%% global script executing the workflow in Morris method
%% Gurkan Sin DTU Chemical Engineeirng
%% June 24, 2015 DTU Lyngby
close all
clear
clc
%%Step 1: perform Morris sampling
disp('Step 1: perform Morris sampling')
morrissampling
%save output
fl =strcat('Morri... |
clc
%M=zeros(20,1);
%for i=1:20
n=4;
format long
h=1/n;
sy=ones(n,1);
S_y=sqrt(h)*diag(sy);
sx=ones(n+1,1);
S_x=(1/sqrt(h))*(-diag(sx)+diag(sy,1));
B=-diag(sx)+diag(sy,1);
B(n+1,:)=[];
Sigma=inv(S_y)*B*inv(S_x);
s=svd(Sigma);
s_min=min(s);
%M(i,1)=s_min;
%end
%plot(1:20, M)
|
function ppandrpt(wellname)
set(0,'defaultLineLineWidth',3)
set(0,'DefaultAxesFontSize',15);
%load 'thermal_history_wells.mat'
kb_ST168=130; wd_ST168=70;
lat_ST168=28.57276479;
bht_depths=[17060;17552;19361];
bht_depths=[0;bht_depths-(wd_ST168+kb_ST168)];
Tswi_ST168=tswi_calc(lat_ST168,wd_ST168);
bht_ST168=[265;280;3... |
% POLARNET plots a net of lines, like a globe on an already existing sphere,
% for better spatial orientation. POLARNET is based on the function
% 'sphere', but uses a higher resolution, for better drawing approximation.
% The lines have an angle distance of 15° in azimuth and elevation
%... |
% conv2demo.m
% demonstration of 2D convolution using the same example as shown in the
% lecture note system.ppt
% (C) 2006 by Yu Hen Hu
% created: 9/11/2006
clear all; close all
x=[1 0 0
1 0 0
1 1 0
1 1 0
1 1 1],
h=ones(3),
y=conv2(x,h), |
function updateWind(choice)
WindPower = evalin('base','WindAvg');
switch choice
case 1
turb = sum(sum(evalin('base','Plot1Info')== 11))* 1;
turb = sum(sum(evalin('base','Plot1Info')== 12))* 1 + turb;
turb = sum(sum(evalin('base','Plot1Info')== 13))* 1 + turb... |
function flag = isequal(this, that)
% isequal Compare two tseries objects.
%
% Syntax
% =======
%
% Flag = isequal(X1, X2)
%
%
% Input arguments
% ================
%
% * `X1`, `X2` [ tseries ] - Two tseries objects that will be compared.
%
%
% Output arguments
% =================
%
% * `Flag` [ `true` | `false` ] ... |
function configMoteD(paramArr,moteID)
% configMoteD(paramArr,moteID)
% Allows for command line configuration of motes, using global Defaults.
%
% paramArr array of parameters to set into the fields
% a value of -1 means keep the global default, which
% is stored in APPS.MAGMHOPRPT
% [reportTh... |
function preprocess(brainData)
%PREPROCESS
%
% Written by Josh Grooms on 20131208
%% Initialize
% Pull volume & mask data from the data object, or generate a mask if one isn't available
volumeData = brainData.Data.Anatomical;
if ~isempty(brainData.Data.Mask)
maskData = brainData.Data.Mask;
else
% Generate a... |
% Juan Carlos Martinez
% Last modified: 3/18/2015
% This function plots the data.
function [] = sensorplots(sensor,timestr,timeindex)
date='26-Nov-2014 ';
n=1;
while ~(strcmpi(timestr(n,1:12),date))
n=n+1;
end
c=n;
while strcmpi(timestr(c,1:12),date)
c=c+1;
end
timeindex=timeindex(n:c-1);
figure (1)
pl... |
function Mddq_out = getMddq(x,p)
q = x(1:p.numJ,1).';
dq = x(p.numJ+1:2*p.numJ,1).';
u = x(p.numJ*2+1:3*p.numJ,1).';
fext_toe = [x(p.numJ*3+1:p.numJ*3+2,1).',0,0,0,0];
fext_heel= [x(p.numJ*3+3:p.numJ*3+4,1).',0,0,0,0];
G = six_G(q(1),q(2),q(3),q(4),q(5),q(6));
V = six_V(q(2),q(3),q(4),q(5),q(6),dq(1),dq(2),dq(3),dq... |
function [payoff] = payoff_IF_long(S)
% S 是一个序列
% 看涨沪深三百指数期权
% payoff 为三种情况：涨幅< 5% payoff = 0;
% 涨幅为5%~15%： payoff = 5%;
% 涨幅为15%以上：payoff = 15%;
upper = 1;
middle = 0.3333;
S0 = 1;
K1 = 1.05;
K2 = 1.15;
ST = S(:, end);
payoff = zeros(size(ST));
payoff(ST >= K1) = middle;
payoff(ST >= K2) = upper;
end |
function [b,e] = makeBarPlotError(X,err,labs,cmap)
if size(X,1)>1
b = bar(1:size(X,1),X); hold on
for ib = 1:size(X,2)
b(ib).FaceColor = 'flat';
b(ib).CData = repmat(cmap(ib,:),size(X,1),1);
end
else
b = bar(X);
for g = 1:size(X,2)
b(1).FaceColor = 'flat';
b(1).CData(... |
function [ geom ] = loadProjectionGeometryShortScan( p, scanAngle, offsetAngle )
% Load short scan system geometry
% inputs:
% p - configuration parameters
% scanAnge - total short scan angle (in degree)
% offsetAngle - offset of the starting angle (default 0)
% output:
% geom - geometer... |
%% Note: Run extractKpsKITTI.m before running this script
%% Group the detections by image, for easy visualization
% Current index (of image in sequence)
curImgIdx = 0;
% Current index (of detection in image)
curDetIdx = 0;
% Filename corresponding to the previous image being processed
prevFileName = '';
% Cell t... |
function [c] = config_getdefaultheuristic()
c = segmentation_configuration();
% 1== github, 2==denis, 3==lindmik
c.dataset = 1;
% these are the best heuristic parameters
% try driving this with
% config_optimdrive(config_optimdrivebounds_randomstart())
% 1: sumIB /in [0,1]
% 2: sum_contribution /in [0,2]
% 3:... |
function S = THRrec_Marcel(dev, EXP, ToneFreq, BurstDur, MinSPL, MaxSPL, StartSPL, StepSPL, DAchan, SpikeCrit, MaxNpres, SPL, Attenuations, LinAmp, GUI)
% THRrec - adaptive measurement of tonal threshold for one frequency
% Usage:
% THRrec(dev, EXP, ToneFreq, BurstDur, MinSPL, MaxSPL, StartSPL, StepSPL, DAchan, MaxNp... |
function [outputData,outputLabel] = processTestData( inputData,inputLabel,means,standardDeviations )
[numRows,numCols]=size(inputData);
outputData=zeros(numRows,numCols);
for col=1:numCols
outputData(:,col)=(inputData(:,col)-means(col))/standardDeviations(col);
end
outputLabel=inputLab... |
function [ matrizInv ] = inversa( matriz )
auxA = adjunta(matriz);
auxB = transpuesta(auxA);
auxC = det(matriz);
matrizInv = auxB/auxC;
end
|
clear
clc
close all
N=6;
M=6;
size = model_inputRghtMatrix(M,N);
|
classdef CellDeriv < handle
%CELLDERIV stores the information of all other nodes derivatives at the
%node this instance lives in
properties
B; % Stored Derivatives of all nodes (nx2)
Cloud; % Data Handle for the Point Cloud
Voron; % Data Handle for this Nodes Voroni Cell
... |
function clearSkyGHI = irradianceRobledoSoler(zenithAngle)
clearSkyGHI = 1159.24.*(cosd(zenithAngle).^1.179) .* exp(-0.0019.*(90-zenithAngle));
clearSkyGHI(clearSkyGHI<0)=0;
end
|
%%reading the files of dataset
%
%%PRE-PROCESSING%%
%
filesC = dir('*00.txt'); %reading control data files that ends with 00 in the directory
fileC = filesC';
filesP = dir('*11.txt'); %reading patient data files that ends with 11 in the directory
fileP = fil... |
function index = cord2index(cord)
% Function to convert coordinate values to index values
% INPUT: cord, matrix with two columns, whose rows are the coordinates of
% points.
% OUTPUT: index, matrix of corresponding indices.
% By Chiyu 'Max' Jiang, March 5, 2016
index = size(cord);
for i = 1:size(cord,1)
ind... |
clear all, close all, clc
qC = [1,0,0,0];qD = [1,0,0,0];qA = [1,0,0,0];qB = [1,0,0,0];qE = [1,0,0,0];
%COM Port details
delete(instrfind({'Port'},{'COM15'}))
ser = serial('COM15','BaudRate',115200,'InputBufferSize',100);
ser.ReadAsyncMode = 'continuous';
fopen(ser);
while true
if ser.BytesAvailable
[qA,... |
function energy = R(d, d0)
% registry-dependent potential
energy = exp(-(d0-3.44)*3.444) * (Rj(sqrt(d^2-d0^2))) - (d/4.68)^(-6) + exp(-(d-4.00)*4.19);
|
% Definition der Stichprobe: Spannungsvektor gekürzt
T = 0:10:100;
U = [2.7660 2.8626 ... 4.1887 4.1659];
% Regressionsfunktion der Ordnung 1 mit Konfidenz- und Prognosebereich
[P,s] = polyfit(T,U,1);
[Ureg,delmean] = polyconf(P,T,s,'alpha',0.05,'predopt','curve');
[Ureg,delprog] = polyconf(P,T,s,'alpha',0.05,'pr... |
% Title: Reaction Loads
% Version: 1.0
% Date: 27.09.2017
% Description:
% Calculate reaction loads when grasping a debris with mass Md and moment
% of inertia Id, with angular momentum w and relative velocity v in a
% time Dt and bringing it to rest.
% Author: Eric Brunner
% 1.0 Con... |
function plotDataJC
clear all; close all;
format short e;
%ep = [0.00 0.25 0.50 0.75 1.00 1.25 1.50 1.75 ];
%epdot = [1.0e-6 1.0e-4 1.0e-2 1.0e0 1.0e1 1.0e2 1.0e4 1.0e6];
%T = [200 300 500 700 900 1100 1300 1600];
color = [[0.9 0.1 0.1];[0.1 0.9 0.1];[0.1 0.1... |
function [radius] = MaxReach(robot1,robot2)
%% Plot UR3 Operation Volume & Max Reach Radius
stepRadius = deg2rad(15);
stepVolume = deg2rad(60);
qlim = robot1.qlim; %joint limits are the same for both robots
%Pre-allocated memory for point cloud plotting
robot1PointCloudeSize = prod(floor((qlim(1:5,2)-qlim... |
clear all; close all; clc
%% Projekt č. 10 Detekce na normalizovaných datech pomocí lícování
Shoda = 0;
Neshoda = 0;
for i = 1:224
for n =1:4
%Načítání obrazů
if i < 10
I1 = imread(['00',num2str(i),'_',num2str(n),'.bmp']);
elseif i < 100
I1 = imread(['0',num2... |
%%ANYELECCONFIG_ROTATEDNEURITE_4L
% ANYELECCONFIG_ROTATEDNEURITE_4L Simulates the epiretinal stimulation of
% retinal ganglion cell axons in the NFL (axons of passage) and in the
% ganglion cell layer (axon initial segments).
%
% This script defines the:
% * Simulation numerics (i.e. spatial and temporal extent, sam... |
%{
2017.05.21 BDP Assignment_5
%}
function main
import_data = importdata('trainingset.txt');
data = import_data.data(:, [1 2 3]);
% plot(data(:, 1), data(:, 2),'.');
% hold on;
test_data = importdata('testset.txt');
dataT = test_data.data(:, [1 2 3]);
tic;
KNN(data, 9, dataT); %KNN Algorithm
toc;
end
functi... |
function output = modal_residual_test(mics, order, winsize, mscale, mshift, directory, rep, alpha)
if directory(length(directory)) != "/"
directory = [directory, "/"];
end
[vec, lambdas, f, z, w, r] = modesynth(mics, order, winsize, mscale, mshift);
[evec, eval] = modesolver_reg(vec, mics, order, winsize-order-1, alp... |
close all, clear all, clc
% Simulation Variables
t_end = 5; % 10 second simulation
t_step = 0.01; % Simulation Update Time Steps
x_bounds = [0,1];
y_bounds = [-0.4,0.4];
t = [0:t_step:t_end];
const_bearing = 0;
%const_bearing = 20;
delay = 2;
% PID Tunings
Kp = 5;
Ki = 0;
Kd = 0; % 50 works well
% Target Trajectory ... |
function varargout = gui_(varargin)
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @gui__OpeningFcn, ...
'gui_OutputFcn', @gui__OutputFcn, ...
'gui_LayoutFcn', []... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% To plot DIC solved strain components on the original DIC images
% 1) strain exx
% 2) strain exy
% 3) strain eyy
% 4) principal strain max
% 5) principal strain min
% 6) max shear
% 7) equivalent von Mises strain
%
% Author: Jin Yang
% Last... |
function homeq
clc;
axis([-8, 8, -8, 8]);
hold on;
grid on;
[x0, y0] = ginput(1);
plot(x0, y0, 'm*');
if x0 * y0 < 0
text(x0 + 0.1, y0, 'no solution')
else
y = dsolve('Dy = y *(1 + log(y/x))/x', 'y(x0) = y0', 'x');
x = -8:0.1:8
plot(x, eval(... |
function [ result ] = matchSTR( cell_array, str, varargin )
%matchStr to identify string within cell array
% Created for textscan output
if iscell(cell_array)
while(iscell(cell_array{1}))
if isempty(cell_array{1})
result = false;
return;
end
cell_array = cell_array... |
function [opThis] = add_specs(opThis,indivs,studyPatches,t,npatch,SNP1,SNP2,n_L2,seedi)
if size(indivs,1) == 0
error('population went extinct, add_specs')
end
if ~isnan(SNP1)
newOP = zeros(length(studyPatches),6);
gk = indivs(:,SNP1)+indivs(:,SNP2); % 2 = homozyg recessive
elim = ((sum(gk)/(2*size(ind... |
clear all
close all hidden
clc
warning("off")
%% Input data parameters: path to folder containing
%% the analytical data and to folder containing
%% the operational data.
query = "R5";
ssize = "750";
configuration_to_predict = 2;
%R1-250 done
%avg_time_query_vector = [79316.55 63576.45 49026.8 42215.55];
%R1-500 do... |
B=diag([1;1;-1]);
detB = det(B);
adjBp = adj3(B'); adjBp2 = tr3(adjBp*adjBp');
BBp = B*B'; B2 = tr3(BBp);
sB2p2adjBp = sqrt(B2+2*sqrt(adjBp2)); sB2n2adjBp = sqrt(B2-2*sqrt(adjBp2));
lambda = sqrt(3*B2);
for k = 1:100
kappa = (lambda^2-B2)/2;
zeta = kappa*lambda - detB;
Psi... |
function val = Group_3_log_prior(theta_tilde)
% Log prior function for the parameters of the reparameterised
% GARCH model, derived in the solutions.
% theta_tilde - row or column vector of length 3
tt_1 = theta_tilde(1); % \tilde{theta}_1
tt_2 = theta_tilde(2); % \tilde{theta}_2
val = -log(2*pi... |
function [d_r] = FEMgrad(u, mesh)
%Compute derivatives of FEM equation system r = K*Y - F w.r.t. Lambda_e
%ONLY VALID FOR ISOTROPIC HEAT CONDUCTIVITY MATRIX D!!!
% u: PDE response vector
% mesh: mesh object
% (d/d Lambda_e) k^(e) = (1/Lambda_e) k^(e) as k^(e) linear in Lambda_e
d_r = reshape(mesh.d_glob_stiff*s... |
function [dx,dy] = UpdateFlow_pipeline1(data_in_1,data_in_2,data_in_3,data_in_4,data_in_5)
%--------------------------------------------
g11 = data_in_1;
g12 = data_in_2;
g22 = data_in_3;
h1 = data_in_4;
h2 = data_in_5;
idet = 1/(g11*g22 - g12*g12 + 0.001);
dx = (g11*h2-g12*h1)*idet;
dy = (g22*h1-g12*h2)*idet;
end
|
% [x,fs]=audioread('yikdata.m4a');
[x,fs]=audioread('penny2.m4a');
% fs=200;
t=0:1/fs:1;
f1=100;
f2=200;
k=3;
% x=sin(3*pi*f1*t)+k*sin(pi*f2*t)+randn(1,length(t));
% x=sin(3*pi*f1*t)+k*sin(pi*f2*t);
% x=sin(2*pi*f1*t);
pwelch(x,1940,970,[],fs,'onesided')
|
% find colormap which colors the distance from zero - zero is always white
% and the larger distance from zero, the darker color, up to black
function ColMap = MyCoolMapRed(bottom, top)
%% checks
if bottom>=top
error('bottom must be smaller than top')
end
%% objects
range = (top - bottom);
ncols = ... |
function [ ] = plotMaxPLossD(obj)
%PLOTMAXPLOSS Summary of this function goes here
% Detailed explanation goes here
% ÅËÆ䳬£¬20140709£¬V1.0
obj.prune();
pnl = obj.data(:,obj.pnlI);
maxLoss = obj.data(:,obj.maxLossI);
pnl = pnl(1:2:obj.rcdNum);
maxLoss = maxLoss(1:2:obj.rcdNum);
maxLoss = abs(maxLoss);
winIdx = pn... |
function [N, X, R, cumR] = localHist(obj, stk, etk, type, grids)
%LOCALHIST 画stk:etk局部的Histogram，若有输出就不画图（类似hist）
% 格式： [N, X, R, cumR] = localHist(obj, stk, etk, type, grids)
% 输入：
% stk, etk 起始、终止tick号
% type 数据类型，'last'(默认）,'bid','ask'
% grids 分格划分， 默认为 min : tickValue : max
% 输出：
% ... |
function flow = ComputeOpticalFlow(l)
i=0;
opticFlow = opticalFlowLK('NoiseThreshold',0.009);
% Estimate and display the optical flow of objects in the video.
for i=1:length(l.im_list)
frameRGB = imread("Test/Images/"+l.im_list(i)+".jpg");
frameGray = rgb2gray(frameRGB);
flow(i) = estima... |
classdef conv1d < ndg_lib.phys.phys1d
%CONV1D Summary of this class goes here
% Detailed explanation goes here
properties(Constant)
Nfield = 1
end
properties(SetAccess = protected)
cfl % CFL 数
ftime % 计算终止时间
dt % 计算时间步长
u % 速度场
... |
load ref4_scene4.mat;
size(reflectances);
load illum_6500.mat;
radiances_6500 = zeros(size(reflectances)); % initialize array
for i = 1:33,
radiances_6500(:,:,i) = reflectances(:,:,i)*illum_6500(i);
end
a = radiances_6500;
[r c w] = size(a);
a = reshape(a, r*c, w);
load xyzbar.mat;
XYZ = (xyzbar'*a')'; |
function centerline = extractCenterline(reconstruction, binaryStack, centerlineAlgorithm, options, t, ch)
% Direct import from .mat file if needed
if nargin == 0
close all
[~, name] = system('hostname');
name = strtrim(name); % remove white space
if strcmp(name, 'C7Paje... |
clear;
clc
close all
load('StaggeredGridFD4.mat')
figure;imagesc(vp(45:end-45,45:end-45))
xlabel('x/dx')
ylabel('z/dz')
h = colorbar;
set(get(h,'title'),'string','m/s');
figure;imagesc(vs(45:end-45,45:end-45))
xlabel('x/dx')
ylabel('z/dz')
h = colorbar;
set(get(h,'title'),'string','m/s'); |
function varargout=add_OIB_to_ATL11(varargin)
if nargout>0
[varargout{1:nargout}]=feval( varargin{:});
else
feval(varargin{:});
end
%------------------------------------------------------------------
function [D11, D200]=generate_corrections(filename)
disp(filename);
[D11, ~, params_11]=read_ATL11_h5(filena... |
model = 0;
mod = [];
tmp=load('D:\writing\MF_dev\data_for_figs\model_parameters.mat');
load('D:\writing\MF_dev\data_for_figs\part_num.mat')
participant_list=tmp.model_parameters(:,1)';
%% Models DEV K6
%%%%%%%%%%%%
% Thompson %
%%%%%%%%%%%%
% 9
model = model+1;
mod.file_name{model} = 'D:\MaggiesFarm\... |
%% Surrogate model selection plots
% Script for analysing GP covariance function dependence on data sampled
% from DTS-CMA-ES run over the noiseless part of the BBOB framework.
% Script also creates graphs and tables.
%
%%
% load data
% checkout file containing all loaded data
tmpFName = fullfile('/tmp', 'smsp_dat... |
function MDM_master(observer)
% clc;
% clear;
%% 0. Addpath
datapath = 'Y:\Aging\Medical Decision Making\Medical_DM_aging\data';
functionpath = 'Y:\Aging\Medical Decision Making\Medical_DM_aging\Function';
addpath(genpath(datapath))
addpath(genpath(functionpath))
%% 1. Caliberation
TrackerCaliberation;
%% 2. What order... |
clear all; close all; clc;
% Kinetic Analysis for Jay's study
% November 3rd 2017
%% ---------------------------------------------------------------------------------------------------------------------------------------%
system = 'WIN';
if strcmp(system,'OS')
path = '\\Mac\Home\Google Drive\3-Research\2... |
%identifyPhoneTone we are return -1 if we are not found a number from the
%pad.
function [number] = identifyPhoneTone(x, fs)
%% definitions %%
f_row = [697 770 852 941];
f_column = [1209 1336 1477];
phonePad = [ [1 2 3];
[4 5 6];
[7 8 9];
[10 0 11] ];
%% plot graph for Frequ... |
function nb = LoiBinomiale(n, p)
% p compris entre 0 et 1
nb = 0;
for k = 1:n
nb = nb + LoiBernoulli(p);
end
end
|
%% important info
% plot only hoop at left and right frames
% m06: left 415 +- 15; right 815 +- 15
% m01: left 375 +- 15; right 855 +- 10
% if errors happen with prev_centers, change the threshold in 'track the
% body' part to 0.5 / 0.6
x_left = 415;
l_oscillate = 15;
x_right = 815;
r_oscillate = 15;
%% variables
% us... |
%% HURRREAD reads the hurricane data from the file 'hurricanes.data'
%% 1. Open hurricanes.data file.
edit('hurricanes.data')
%% 2. Import column headers from hurricanes.data file.
fid = fopen('hurricanes.data','rt');
headers = textscan(fid,repmat('%s',1,10),1,'headerlines',10);
%% 3. Make use of CollectOutput opt... |
function tf = inputyn(str,varargin)
%INPUTYN Asks a yes or no question and returns true or false.
%
% function tf = inputyn(str,default)
% Returns true if the user types anything with a 'y' or 'Y' in it
% Returns default if the user doesn't type anything.
% Default is optional and defaults to true.
%
% Mercurial revis... |
%% HURRSCALE -- Correlation of wind speed against pressure for hurricanes
%
% The Saffir-Simpson scale is used to categorize hurricanes. Often both
% center pressure and maximum sustained wind speed are given even though
% categorization is based only on wind speed. This script
% demonstrates that the two measure... |
clear;
% Task 2:
% 0.08+0.42-0.5, expected = 0, actual = 0
r1 = 0.08+0.42-0.5;
% 0.42-0.5+0.08, expected = 0, actual = -1.3878 * 10^-17
r2 = 0.42-0.5+0.08;
% MATLAB Arbeitet Standartmässig mit floating point Datentypen => double
% keine der Varianten ist merklich besser.
r2 = round(r2, 2);
% Task 3:
a = 0:14; % Zahl... |
function Lfdobj = int2Lfd(m)
%INT2LFD converts a nonnegative integer to a linear differential
% operator object that is equivalent to D^m. The range of the
% functional data object in any cell is set to [0,1], and is
% not actually used when a linear differential operator object
% of this nature is applied.
% I... |
%DEMO_HARMONIC
% This function evaluates the harmonic sum \sum_{i=1}^{\infty} 1/i
% in different arithmetics and with different rounding modes.
rng(1)
fprintf('Format Round mode Sum No. terms\n')
fprintf('------------------------------------------\n')
for p = 0:4
clear options
switch p
... |
function desired_heading=f_traj3(V_in2)
global par
x = V_in2(1);
y = V_in2(2);
phi = V_in2(3);
par.psi = V_in2(4);
u = V_in2(5);
v = V_in2(6);
p = V_in2(7);
r = V_in2(8);
lastLocation = [x;y];
% desired_heading = 0;
[l, c] = size(par.waypoints);
if(c ~= 0)
if (par.distanciaAlvo < 10)
if... |
function [B] = calcularBdelLoop(a,b,x,y,z,I,n)
% función encargada de calcular el campo B dado un punto en el espacio.
%--------------------------------------------------------------------------
%---Parameters settings---
id_cable = 1;
mu_0 = 4*pi*1e-7; % Permeabilidad magnética del aire.
B = zeros(1,3);
%-----------... |
% mfile belonging to the documentation file
%
% o history
% Daniel Klawitter
% 24-02-2010 - 10:04 created
%
% o summary
% All algorithms presented in the documentation are implemented here.
% Examples are shown. You can step through the code while working
% through the documentation
%
% o TODO:
%
... |
%% 讀取CTD資料夾裡的所有檔案
clear;clc;clf
cd('.\CTD') % 設定檔案路徑
a=dir;
%% 用CTD資料夾讀取沒有S開頭的資料，把資料讀進Matlab
% load 1-1.cnv
for i = 3:10
filename = a(i).name;
fid = fopen(filename,'r') %讀檔
while strcmp(fgetl(fid),'*END*') == 0
%一行一行讀取資料，直到讀取到'*END*'字串為止
isEND = feof(fid); %測試檔案是否以讀取到末端(是回應1，否回應0)
end
c... |
function phi_n = PhaseTruncate(phi,levels)
%Maps continuous phase values of -pi to pi to quantized values of
%0 to 2*pi (where levels is the number of quantized values between 0 to
%2*pi)
phi(phi < 0) = phi(phi < 0) + 2*pi;
phi(phi > 2*pi) = rem(phi(phi > 2*pi),2*pi);
round_phi = [0:2*pi/levels:2... |
X2 = zeros([1,200])
x1 = linspace(1.5,2.5,200)
for i = 1:200
X2(i) = findx2(x1(i));
end |
function [structureoutput]=electromagnetic_field_xyz(xyz,nm,ab,pq,cd,relindex,tol)
% electromagnetic_field_xyz.m : Calculates the fields of any of the
% incident, scattered or internal
% beam shape coefficients.
%
% Usage:
%
% [structureoutput]=electromagnet... |
function [acc,area,thres,points] = drawROC(output, ts_label, disp, query_flms)
% author lvjiangjing
% email: lvjiangjing12@gmail.com
% data: 2013/10/11
if ~exist('disp','var')
disp = 1;
end
output = output(:);
ts_label = ts_label(:);
[x,idx] = sort(output);
y = ts_label(idx);
y(y~=1) = 0; % make su... |
clear all;
close all;
moving_data1 = load('matlab_testCV1.txt','-ascii');
[moving_num1, dummy] = size(moving_data1)
moving_data2 = load('matlab_testCV2.txt','-ascii');
[moving_num2, dummy] = size(moving_data2)
m1x = moving_data1(:,1);
m1y = moving_data1(:,2);
m1z = moving_data1(:,3);
m2x = moving_data2(:,1);
m2y = ... |
function y=Aufgabe_2a(t_start,y_start)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Aufgabe 2a
% Aufruf: ergebnis = Aufgabe_2a(t_start,y_start)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
t=t_start;
y=y_start;
h=0.25;
laufvariable = 1
% Euler
while(t<=10),
t1_gesamt(laufvariable) = ... |
% example: learnNNWeights(['traces-fourraydistance/trace-m0-SmartRandomAgent-nnet.txt';'traces-fourraydistance/trace-m1-SmartRandomAgent-nnet.txt'],8,5)
% example: [IW,LW,B1,B2,ranges] = learnNNWeights(['traces-fourraydistance/trace-m0-SmartRandomExplorerAgent-nnet.txt';'traces-fourraydistance/trace-m1-SmartRandomExplo... |
function [ output_args ] = rayFocus( input_args )
%RAYFOCUS Function to focus a ray incident in a lens
% Detailed explanation goes here
end
|
%% LiTrack constants
global MEV2GEV MM2M;
MEV2GEV=0.001;
MM2M=0.001;
global DESIGN EXTANT;
DESIGN=0;
EXTANT=1;
% File handline
global PARTICLEFILEEXT PARAMFILEEXT FILEEXISTS;
FILEEXISTS=2; % exist function return code for regular file that exists
PARTICLEFILEEXT='.zd'; % File extention of LiTrck particle file
PARAM... |
% WRITE YOU CODE HERE!!!
function myplotarea(str,n)
% read the file into a cell
cellarray = textscan(fopen(str,'r'),'%s %f %s %f');
x=cellarray{2};
y=cellarray{4};
% check for l=value of n to be smaller than length of data
if n<=length(x)
% area plot
area(x(1:n),y(1:n));
hold on;
... |
% rotate about line in 3D
% function rot = rotateAboutLinePdP(p, a, axis, theta)
% p = points
% a = point in 3D
% axis = direction of line
% theta = rotation angle
function rot = rotateAboutLinePdP(p, a, axis, theta)
matrix = vrrotvec2mat([axis theta]);
rot = bsxfun(@plus, matrix*bsxfun(@minus,p,a'), a');
end |
function X = create_design_matrix(numberOfObs, x, y, z, q)
%CREATE_DESIGN_MATRIX Creates a design matrix for
% linear regression
% Use a linear model in 2 variables
% Y ~ b0 + x*b1 + y*b2 = X*beta = B*beta
if nargin == 5
% Second to fifth input is a column vector, one input for each
% covariate
% Co... |
%load cactus_q5 %delta0=5.99/1.2
%load crowd_q6 %delta0=5.99
clear qcoef
%load cactus_96frames; a=single(a);
%load crowdrun_96frames; a=single(a)/4;
%a=a(1:512,1:512,33:64); ar=ar(1:512,1:512,33:64);
%a=a(:,:,33:64); ar=ar(:,:,33:64);
e=a-ar; e0=e;
e=e.*e; e=sum(sum(sum(e))); e=sqrt(e/numel(a)); SNR=20*log10(256... |
function res = g_dy(x, y)
res = 1;
|
function [fitresult, gof] = singlesnr(y2fit, z2fit)
%CREATEFIT1(Y2D5,Z2D5)
% Create a fit.
%
% Data for 'untitled fit 1' fit:
% X Input : y2d5
% Y Output: z2d5
% Output:
% fitresult : a fit object representing the fit.
% gof : structure with goodness-of fit info.
%
% See also FIT, CFIT, SFIT.
%... |
file_name{1} = '/home/alex/Desktop/Kernels/Ronnie/P13/data/sep_kernel_adjbeta';
list_n{1} = [2 3 7];
file_name{2} = '/home/alex/Desktop/Kernels/Ronnie/P06/data/sep_kernel_adjbeta';
list_n{2} = [2 3 4];
file_name{3} = '/home/alex/Desktop/Kernels/Derry/P08/data/sep_kernel_adjbeta';
list_n{3} = [3 13];
file_name{4} = '/ho... |
function [x,y]=ellipse_p_add(a,b,p,Qx,Qy,Px,Py)
% Define O=(p,p)
if Qx==p & Qy==p
x=Px;
y=Py;
elseif Px==p & Py==p
x=Qx;
y=Qy;
else
flagx=mod(Qx+Px,p);
flagy=mod(Qy+Py,p);
if flagx==0 & flagy==0
x=p;
y=p;
else
[x,y]=ellipse_p_add_noequal(a,b,p,Qx,Qy,Px,Py);
end
end
en... |
% ........................................................................
% My template Matlab codes for Linear Regression with multiple variables
% Algorithm: Gradient Descent
% gradientDescent.m
% Navid Salami Pargoo
% 2020
% ........................................................................
% gradientDesce... |
function h1d= WLD_new(image,radius,neighbors)
% ==========================Parameters Setting=========================
alpha = 3;
beta = 5;
EPSILON = 0.0000001;
if nargin<4
Ebin = 6;
Obin = 8;
Sbin = 20;
end
%======================================================================
%% ====================Diff... |
B = fopen('Full_Medium.txt', 'r');
s = 1;
i=0;
while ~eof(B)
line=fgetl(B);
if text(s)== '~'
text1(s)=',';
i=i+1;
else
text1(s)=text(s);
end
s=s+1;
end
A=fopen('Full_Medium_CSV.csv', 'w');
fwrite(A,text1);
fclose(A); |
function ControlExpFitJAN25
%run July 23 2017
%Control Exponential fit, current as of January 25 2018
clearvars
close all
clc
desiredwells = [22 70];
figure1 = figure;
cmap = cbrewer('qual','Set1',numel(desiredwells),'cubic');
colorcounter = 1;
for j = desiredwells
filename = sprintf('w%d_d... |
function [xs, nverts, tets, ntets, nverts_level, ntets_level, parent_id, parent_coeff]=mul_level_uref_tetmesh_deg2o3(xs, nverts, tets, ntets, sibhfs, degs_level)
if nargin==0
xs=[1 0 0;...
0 1 0;...
0 0 0;...
0 0 1;...
0 0 -1];
nverts =size(xs,1); nv_orig=5;
tets=[1 2 3 4;2 1 3 5];
ntets... |
function [ M_1_V, Tm_1_V, Psi_h_1_v ] = Hao_3d_Partial_Derivatives_DSR_Extra(a,h,Tm,Sm,Sm_1_Mx,Sm_1_My,Sm_1_Tm,Sm_2_MxMx,Sm_2_MyMy,Sm_2_TmTm,Sm_2_MxMy,Sm_2_MxTm,Sm_2_MyTm,Sm_1_V,Sm_2_vTm,Psi_M,Psi_h)
%Derive the Partial derivatives for the Double Square Root Equation.
% ---input: ----
% a, h, psi_M: 2x1 vector
% Tm : ... |
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