text stringlengths 8 6.12M |
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%find the largest LST for each RNDDI
%rnddi=int16(crop_rnddi*1000);
%
[r1,c1]=size(crop_lst);
bins = max(max(rnddi));
maxLST = zeros(1,bins)-500;
minLST = zeros(1,bins)+500;
for i=1:r1,
for j=1:c1,
%do
x=crop_rnddi(i,j);
if((x>0)&&(x<bins))
if(crop_lst(i,j)>maxLST(x))... |
% $Header: svn://.../trunk/AMIGO2R2016/Postprocessor/Post_Plot/AMIGO_plot_clouds.m 2203 2015-09-24 07:11:27Z evabalsa $
% AMIGO_plot_clouds: plots clouds by pairs of parameters in the Robust identifiability
% analysis
%
%******************************************************************************
%... |
function plotdata=plotAperture(lindata,ring,dpp,varargin) %#ok<INUSD>
%function plotdata=plotAperture(lindata,ring,dpp,varargin) %#ok<INUSD>
%
% Plots x and y aperture.
%
% use with atplot(atlattice,@plotAperture);
%
apind=findcells(ring,'Limits');
xm=getcellstruct(ring,'Limits',apind,1);
ym=getcellstruct(ring,'Limi... |
%% Nozzle shape equation
thN = 22;
thE = 0;
th1 = linspace(-135,-90);
th2 = linspace(-90,(thN-90));
Rt = 0.25;
xin = 1.5*Rt*cosd(th1);
yin = 1.5*Rt*sind(th1)+Rt*1.5+Rt;
plot(xin,yin)
th3 = linspace(45,90);
xinp = 1.5*Rt*cosd(th3)+0.25*xin(1);
yinp = 1.5*Rt*sind(th3)+yin(1);
xinp = 1.5*Rt*cosd(th3)+0.25*... |
% MRIanalysis
% analyze T2 maps over ROIs, fit relaxation time (exponential decay)
%
% REQUIREMENTS
% image processing toolbox
% statistical toolbox
% NIFTItools
%
%
% Reworked version by E. Bakstein, based on MRIanalysis_3May2018.m
% EDITS 2018-05-15:
% - Settings: all code parameters editable... |
function [W,b]=dnn(nh,eta,training_inputs,training_results)
mini_batch_size =10; % mini bacth size
sparsityParam = 0.07; % desired average activation of the hidden units.
% (This was denoted by the Greek alphabet rho, which looks like a lower-case "p",
... |
% Test Cases:
[out1] = forecast('I dislike cold weather.', 'dislike', 'enjoy')
[out1_soln] = forecast_soln('I dislike cold weather.', 'dislike', 'enjoy');
% out1 => I enjoy cold weather.
% Output variable(s) should be identical to that produced by the solution file
%
[out2] = forecast('CS1371 homework is the worst... |
function readbt1files()
clear global
instfile='c:\ZnMn2O4\5Kznm001.inst';
gsasfile='c:\ZnMn2O4\5kznm001.gsas';
gsasfile2='c:\ZnMn2O4\5kznm002.gsas';
%if exist([instfile])
% fid=fopen([instfile],'r');%thedata=fscanf(fid,'%f %f %f',[3 inf])';fclose(fid);
%end
%while 1
% l... |
function outString = fullcommand(varargin)
% outString = fullcommand(str1, str2, ...)
%
% Correctly concatenate string inputs so that they form a valid
% command-line string command for working with the Android adb. Kind of
% like the built-in fullfile() function, but more can add path parts and
% other command parts c... |
% Ex3
% b)
R = 25000;
lambda = (5000*10+2500*25)/24;
p = 30;
alfa = 0.1;
fname = 'movies.txt';
S = 1000;
for n=76:76
for W=10000:70100
% Init matrixes
blocking_hd = zeros(1,10);
blocking_4k = zeros(1,10);
% Run simulator2 10 times
for i=1:10
... |
function h = points(x,y,z,c)
% h = points(x,y,z,c)
% Plot the points specified by (x,y) with
% a (uniform) color specified by the RGB triple c,
% with an intensity given by z (one intensity/point)
% z must be in the range [0 1].
newplot
if (size(z,1) == 1)
z = z';
end
if (size(c,2) == 1)
c = c';
end
% Have to trick m... |
function [] = plot_psychometric(parsed, clevs)
% psychometric function for mouse
hitZeroContrast = mean(parsed.hitRate(:,clevs.Zero),2);
hitLowContrast = mean(parsed.hitRate(:,clevs.Low),2);
hitMidContrast = mean(parsed.hitRate(:,clevs.Mid),2);
hitHighContrast = mean(parsed.hitRate(:,clevs.High),2);
hitHundredContras... |
function plot_ERPAC_aud_resp(subj,block,condition,elecs)
%condition = 0 or 1 or 2
%0: to plot the three stimuli
%1: to plot the three values that change over blocks
%-1: to plot no condition
if ~iscell(block)
get_subj_globals(subj,block)
block = {block};
else
get_subj_globals(subj,block{1})
figdir = [... |
function h = setSliderVal(source)
% this function lets the user click and drag the slider.
gui = guidata(source);
h = gui.ctrl.slider;
p = get(0,'PointerLocation'); % absolute location of the click
figPos = getpixelposition(source); % absolute location of the figure
boxPos = getpixelpo... |
clear;
%% gm/ID
gmoverid=load("gmoverid.mat").gmoverid;
currents=load("currents.mat").currents;
figure
hold on
plot(1e6*currents, gmoverid)
label = plot(0.13, 20, 'o');
xlabel("Drain current (\muA)")
ylabel("g_m/I_d")
plot_paper
%% leakage
leakcurrent = 1e12*load("leakcurrent.mat").leakcurrent;
times = load("times.... |
Matlab kan een zelfgeschreven functie altijd vinden. |
function [xdatafit fit] =fun_bat2(xdata,t,y)
[xdatafit] = fmincon(@batfun, xdata, [],[],[],[],[0 0 0 0],[10 10 10 10],[],optimset('MaxFunEvals',100000,'MaxIter',100000,'TolX', 1e-8 ));
[SSE fit] = batfun(xdatafit);
function [sse, x]=batfun(xdata)
x=xdata(2).*(t-xdata(1)).^... |
% Sandesh Thapa
% Homework 1
% MAE 5010 Flight Controls
% Problem 3
clc;
close all;
clear all;
%% Part a
syms x real
solx = solve (0.3739*x^4 + 1.3343*x^3+ 0.5280*x^2+ 0.0381*x -0.0235 ==0,x);
r = roots([0.3739 1.3343 0.5280 0.0381 -0.0235])
%% Inner Loop
num1 = [0.0602 4.4326 0.2008 0.31... |
%clear
%close all
% Pacejka magic formula
F = @(x,D,C,B,E) D*sin(C*atan(E*atan(B*x)+(1-E)*B*x));
%% Longitudinal force
lambda = -1:0.01:1; % [-]
delta_mux_notch=0.1; %[-] additive value due to notch setting
Clambda = [0,100000,250000,400000,500000]; % [N]
Fzx = [... |
function [] = util_disp_hyperlink( text, varargin )
%UTIL_DISP_HYPERLINK 工具函数：在命令窗口显示蓝色的超链接文字
% text = 要显示的文字
% 可选：links = 链接位置
%
% 蒲江波 - 2009年6月27日
pvpmod(varargin);
if ~exist('links', 'var')
links = '';
end
disp(['<a href="' links '">' text '</a>']);
end
|
if any(strcmp('rgbVision', fieldnames(sensor))) && sensor.demoCue
imwrite(sensor.rgbVision, [aux.path, '/demoImages/', num2str(sn), '.png']);
sn = sn + 1;
end
|
function list = visitNode(node, Data)
errors = 0;
list = [];
len = length(Data);
for row = 1:len(1)
curNode = node;
while curNode.value-'1'>0
i = str2num(curNode.value);
if Data(row,i-1)
curNode = curNode.right1;
else
... |
% PI measurement
% gateWindow = [60 90];
% [gIX, stSamp, enSamp] = gateOnTime(tAIX, gateWindow);
% calcFcn = @fcnOccupancy;
% [perGateMeas, measIX] = calcFcnOnGate(tA, tAIX, gIX, stSamp, enSamp, calcFcn);
% decPI measurement (avg. occupancy on mid-zone exit)
% gatePosition = [-5 5];
% firstOnly = false; timeEntries ... |
%{
This code creates stochastic and deterministic time series, nullclines, and power spectra plots for the native strain
(full model, high molecule number).
%}
global xvals yvals alpha_k alpha_s beta_k beta_s k_k k_s p h delta lambda_k lambda_s Gamma_k Gamma_s
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
% IMPORTANT - This script requires the Matlab symbolic toolbox
% The code is the implementations of Double-Stage Kalman.
% Author: Xinzhe Gui
% Email: lwft@qq.com
%% environment config
clear all;
reset(symengine);
load('./Mat/StatePrediction.mat');
addpath(genpath(pwd));
%% derive equations for fusion of true acc meas... |
function [f] = drawManip(Transformations, ax)
%DRAWMANIP Summary of this function goes here
% Detailed explanation goes here
[l,m,n] = size(Transformations);
trans = 1;
if n > 1
trans = 1;
else
trans = 0;
n = m;
end
f = gcf;
rotate3d on
grid on
xlabel('X');
ylabel('Y');
zlabel('Z');
R1 = [1 0 0;
0 1... |
%设置定时函数h,s,t
n=0;%初始化计数变量
connector on
m=mobiledev
h=timer('TimerFcn','n=0;','Period',3,'ExecutionMode','fixedDelay','TasksToExecute',2); %清除计数变量n并且设置延迟函数
s=timer('TimerFcn','n=n+1;g(n)=norm(m.Acceleration)','Period',0.5,'ExecutionMode','fixedRate','TasksToExecute',10,'StopFcn','gra(3)=sum(g(1:10))/10,start(h)','Star... |
function mx = nanmean(x)
%NANMEAN Mean of available data, ignoring NaNs.
%
% NANMEAN(X) returns the mean of the available data in X, treating
% NaNs as missing values. For vectors, NANMEAN(X) is the mean value
% of the non-NaN elements in X. For matrices, NANMEAN(X) is a row
% vector containing the mean v... |
classdef List
% List: a class for singly linked lists
%
% List - (NIL) the empty list, encoded as List( [] , [] )
% List( x , L ) - (CONS) implements the constructor
properties
head % the data item
tail % the rest of the list
end
methods
% Constructor:
%... |
function [thermRegData] = updateRegistrationPointsColonyFolder(wd)
cd(wd);
%Load metadata
metadatafile = dir('*metadata*');
load(metadatafile(1).name);
% Load image registration data
imregfile = dir('*imageRegistration*');
load(imregfile(1).name);
%% Generate thermal background pic;
filelist = dir('**/*TC.mj2');
n... |
function archs = PACK_generate_random_archs(narc)
global params
ninstr = length(params.packaging_instrument_list);
max_sats = get_max_nsats();
if max_sats == 0
max_sats = ninstr;
end
rand_integers = randi(max_sats ,[narc ninstr]);
% pack_fix
archs = PACK_fix_archs(rand_integers);
archs = unique(archs,'rows');
end... |
imageFiles = dir('*.bmp');
% for j = 1:length(imageFiles)
% Fractal Dimension
% log_e(N) = -D = log(N)/log(e)
% Where N is the number of segments (cubes)
% e is the fraction
x = 1:20; % fraction
squareN = x.^2; % squares
% create a matrix of binary values for "contains star" (1) and "d... |
%% Iterative optimal thresholding
segregateAndShow('cuphead.jpg');
segregateAndShow('castle.jpg');
segregateAndShow('seagull.jpg');
%% Thresholding
clear;
compareThresholds('ean.jpg', 0.8);
compareThresholds('page.jpg', 0.3);
compareThresholds('cameraman.jpg', 0.4);
% Conclusion:
% With 'ean.jpg', mode thresholding ... |
tic
clear;
clc;
%import data
opts = detectImportOptions('shuflenoise.csv','NumHeaderLines',1);
ctg_smoted_noise = readtable('shuflenoise.csv',opts);
ctg_smoted_noise.Properties.VariableNames([1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27]) = {'A','LB','AC','FM','UC','DL','DS','DP','A... |
function ChangementEtatVisible(obj,event)
Liste_Fichier=getappdata(gcbf,'liste_fichier');
Nb_Fichier_Charger=getappdata(gcbf,'nb_fichier_charger');
for j=1:Nb_Fichier_Charger
for i=1:length(Liste_Fichier(j,1).Liste_Marqueur)
if strcmp(get(Liste_Fichier(j,1).Menu_Affiche_Mq(i),'Checked'),'on')
L... |
%% Redes Neurais Artificiais - Tarefa 01 utilizando Eq. Normal
% Descrição
% ------------
%
% Este arquivo contém o código para solução do comando da tarefa01
% utilizando o método de Regressão Linear com Eq. Normal.
% Autor: Felipe Rodrigues Veludo Gouveia
% Data: 29-10-2017
%
% Comando da Questão:
% --------... |
function [] = trace_comparaison_mode(u,Nt,Nx,uexacte)
% trace la solution obtenu numériquement et la solution exacte
%% Variable globale
global L T
%% Parametre a calculer
deltax = L/(Nx-1);
deltat = T/(Nt-1);
x = (0:deltax:L).';
t = 0:deltat:T;
matsolexacte = uexacte(x,t);
%% Video
video_sol = VideoWriter('video.... |
function obj = getSchema
persistent schemaObject
if isempty(schemaObject)
schemaObject = dj.Schema(dj.conn, 'virus', 'common_virus');
end
obj = schemaObject;
end
|
% Returns weighted adjacency matrix of a directed graph, where each row
% represents the ingoing edge weights to the corresponding node.
function A = weighted_adjacency(G)
A = zeros(G.numnodes);
s = G.findnode(G.Edges.EndNodes(:, 1));
t = G.findnode(G.Edges.EndNodes(:, 2));
A(sub2ind(size(A),... |
for simcool=1:10
clear M1 M2 E dR RE E2 RE2
max_iter=10;
noise_values=0+(0.05:0.05:1.5);
j=10;
nodes=64;
nel=nodes*(nodes-1)/2;
degree_target=5;
[bm1] = BAgraph_dir(nodes,degree_target,degree_target);
bm1=bm1+bm1.';
bm1=bm1>0;
[W1, We1]=ls_bin2wei(bm1,noise_values(j),0);
modules=4;
[bm2 , mods] = random_modular_grap... |
function tellFinnee(finneeStc)
%% DESCRIPTION
% 1. INTRODUCTION
% TELLFINNEE gives informations about the input finneeStc.
%
% 2. PARAMETERS:
% .required. TELLFINNEE requires at least 1 parameter
% finneeStc
% is the finnee structure that contain information about the run
% and link... |
function distances = prmi_compute_pairwise_distance(X,Y,d)
% PRMI_COMPUTE_PAIRWISE_DISTANCE computes the euclidean pairwise distances.
%
% distances = PRMI_COMPUTE_PAIRWISE_DISTANCE(X): Euclidean distance between (X,X)
% 'X' is DxP matrix, one column per feature.
% 'distances' is PxP matrix... |
function [pos_x,pos_y,pos_z] = get_pos(x,y,intensity,imagesize)
halfsize = imagesize/2;
theta = 90 * (x - halfsize)/halfsize ;
% turn to rad
theta = theta * pi/180;
phi = atan((halfsize-y)/(x-halfsize));
pos_x = sin(theta) * cos(phi) * intensity;
pos_y = sin(theta) * sin(phi) * intensity;
pos_z = cos(theta) * int... |
function Ah = assembleMat(nh, h)
Ah = zeros(nh * nh, nh * nh);
Ah(1:nh, 1:nh) = buildT(nh);
Ah(1:nh, nh+1: nh + nh) = - eye(nh, nh);
Ah((nh -1) * nh + 1: nh * nh, (nh - 1) * nh + 1 : nh * nh) = buildT(nh);
Ah((nh -1) * nh + 1: nh * nh, (nh - 2) * nh + 1 : (nh - 1) * nh) = - eye(nh, nh);
for i = 2 : nh... |
function c = redblue
% redblue gives a colormap within [cl(1) cl(2)] from
% Blue [0 0 1] to White [0 0 0] to Red [1 0 0]
m = size(get(gcf,'colormap'),1); % Get size of colormap
cl = caxis; % Get colormap limits
m1 = round(-m*cl(1)/diff(cl)); % Get ratio o... |
function [shape] = L2Shape(obj,l)
%L2Shape Summary of this function goes here
% Detailed explanation goes here
shape = obj.pca.Coeff2Data(obj.pose_mu,obj.pose_pc(:,1:obj.n_l),l);
end
|
function [ pointset ] = makePointSet( v, n, u, c )
%[ pointset ] = makePointSet( v, n, u )
% initialize pointset data structure from vertex/normal/uv-arrays
%
% pointset.v = Nx3 list of vertices
% pointset.n = Nx3 list of vertex normals
% pointset.u = Nx2 list of vertex uv's
% pointset.vidx = Nx1 list of vertex ... |
function [us] = MeasureData(t)
%------------------------------------------------------------------
% Purpose:
% Returns the state of the unknown DPS for all nodes
%
% Sinopsys:
% us = MeasureData(t)
%
% Variable description:
% t - current simulation time
%
%--------------------------------------------------------------... |
% Spike
Spike=[];
for i = 1 : 56
Spik = sum(sum(AllData{i,3}));
Spike = [Spike; Spik];
end
% Smooth firing rate
Fire=[];
for i = 1 : 56
Fir = sum(sum(AllData{i,5}));
Fire = [Fire; Fir];
end
|
function para = getRouteParams(routename)
switch routename
case 'SingleRing';
para.flyerpara.d = 0.3/2;
para.flyerpara.r = 0.3/4;
para.viewangle.az = -33.5;
para.viewangle.el = 40;
para.titletxt = 'SingleRing Trajecoty Tracking';
case 'Hover';
para... |
function entrust_amounts = equal_allocation_amount(obj, volume)
% 数量平均分配的函数
%输入：委托的数量 volume
%输出：平均分摊的数量 entrust_amounts
% 吴云峰 20161124
% 1,判断数量
nCount = obj.optstraddletrading_multi.Count;
if nCount == 0
entrust_amounts = nan;
return;
end
% 2,进行数量的分配
entrust_amounts = zeros(1, nCount);
avg_amount = v... |
function [F, volume, allSlices] = rotateAndDip(image, theta, makeVideo)
if nargin < 3
makeVideo = 0;
end
volume = zeros(1, length(theta));
allSlices = [];
for i = 1:length(theta)
[rotatedImage, slices] = calculateSlices(image, theta(i));
%slices = alignFirstNonZero(slic... |
function J = computeCost(X, y, theta)
%COMPUTECOST Compute cost for linear regression
% J = COMPUTECOST(X, y, theta) computes the cost of using theta as the
% parameter for linear regression to fit the data points in X and y
% Initialize some useful values
m = length(y); % number of training examples
% You need t... |
function available_data=NDBC_available_data(parameter,options)
%%%%%%%%%%%%%%%%%%%%
% For a given parameter this will return a structure of years,
% station IDs and file names that contain that parameter data.
%
%
% Parameters
% ------------
% parameter : string
% 'swden' : 'Raw Spectra... |
%%
% File: LMI_tricks_logdet.m
% Directory: 2_demonstrations/egyeb/Matlab_tricks
% Author: Peter Polcz (ppolcz@gmail.com)
%
% Created on 2023. April 05. (2022b)
%
n = 3;
P = sdpvar(n)
Obj = det(P)^(1/n);
Obj = log(geomean(P));
% Obj = -logdet(P);
% Obj = log(det(P));
A = magic(n);
B = A(:,1);
K = lqr(A,B,e... |
function mna2
% ipr1();
% ipr2();
% kr1();
% kr2();
end
% % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % %
function kr1()
syms x
lb = -1;
ub = 1;
n = 2;
A = sym('a',[1,n]);
baseFunc0 = '0';
p=0;
b = 1;
c = 1;
q=-1
f=-x... |
function random_fields=f_read_random_field(file_folder, file_name)
display(['---> Reading Random Field file: ' file_folder '/' file_name])
fid = fopen([file_folder '/' file_name]);
rf_header=regexp(strrep(fgetl(fid),' ',''),',','split');
rf_field=textscan(fid, '%s\n', 'CommentStyle', '%', 'bufsize',4956000);
fclose(fi... |
classdef (Sealed = true) rect_cos < qes.waveform.waveform
% Rectangular pulse with cosine shaped rise/fall edges and
% drawback/overshoot calibration before/after edges
% Copyright 2016 Yulin Wu, USTC
% mail4ywu@gmail.com/mail4ywu@icloud.com
properties
amp = 1
rise_time = 1
beta =... |
function [ zero ] = gfsk_channel_zeros(channel)
load gfsk_Parameters.mat
a = size(channel)
for i=1:a(1)
for j=1:a(2)
coeffs = polyfit([1:length(channel(i,j,:))].',unwrap(squeeze(angle(channel(i,j,:)))),1);
slp = coeffs(1);
yint = coeffs(2);
zero(i,j) = exp(1i*mod(yint+slp*(length... |
function [C, sigma] = dataset3Params(X, y, Xval, yval)
%DATASET3PARAMS 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] = DATASET3PARAMS(X, y, Xval, yval) returns your choice of C and
% sigma. You... |
function [MI, MIshuff] = measureMI(grandMetrics, grandIX, nBins)
ix = find(isnan(grandMetrics));
grandMetrics(ix) = 0;
classIX = uniqueTypes(grandIX);
for metricN1 = 1:size(grandMetrics,2)
metricN1
for metricN2 = metricN1:size(grandMetrics,2)
metricN2
n... |
function [reduced_dam] = damage1(matrix, p, n, r)
% matrix=cycle data
% p = number of days
% n = number of steps
% r = recovery
%Define variables
a=0.9711;
beta=3.0126;
b=1;
UTS=3.9;%MPa
% sf=0.45*UTS; %Fatigue Limit
sf=0;
M0=14.7358;%MPa
% a=0.9711;
% beta=3.0216;
% b=0.9;
% UTS=3.9;%MPa
% % sf=0.45*UTS; %Fatigue Lim... |
function inhibitorRegion = findRegionWithHighInhibitorActivtorRatio(Ia_ratio_all, threshold)
%% returns the region where inhibitor/activator > threshold for at least 10 consecutive timepoints.
% ----- Inputs:
% 1) Ia_ratio_all = ratio of inhibitor/activator levels for a set of timepoints
% 2) threshold = inhibitor/act... |
function [lma_data] = lma_import(date)
%%LMA_IMPORT(date) imports an LMA file from the CHUVA campaign. Date can be given as a
%%date vector [yyyy,mm,dd] or a datenum, or as a filename
% 11/30/11 - Michael Hutchins
lma_path='/Volumes/Data/LMA/';
if strmatch(class(date),'double')
if length(date)==3
fileP... |
Setup
%%% START %%%
% Brandon Fong
% CES 400 Final Project
% Due Date: Wednesday, 12/2/2020
% Name & ID : Brandon Fong (007808236)
% email: fong.m.brandon97@gmail.com & fongb@sonoma.edu
% Link to Report: NA
% Link to Git: NA
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Part 1: W... |
% This function obtains a plot of the load cycle for a given interval.
% The demand interval and the load must be defined by the variable data
% in a three-column matrix. The first two columns are the demand
% interval and the third column is the load value. The demand interval
% may be minutes, hours, or month in... |
clear all;
close all;
clc;
x_offset = [1,2,3,4,5,6];
y_offset = [2,5,1,5,3,3];
y_diff_offset = [1,1];
n = length(x_offset);
spline_coeff = zeros(n+2,1);
spline_matrix = zeros(n+2,n+2); %The matrix that is used for calculate the spline coefficient, H in the word
power = [0,1,2,3];
x_matirx = zeros(n,4);
for i = 1:n ... |
function [X, Y] = RandomWalk(n, h)
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
X=zeros(1,n)
Y=zeros(1,n)
i=2
while i<=n
angle=2*pi*rand
x_0=X(i-1)
y_0=Y(i-1)
x=h*cos(angle)+x_0
y=h*sin(angle)+y_0
if (x>0) && (x<1) && (y>0) && (y<1)
... |
% ADVISOR data file: CYC_L60MPH.m
%
% Data source: Steve Burch, NREL
%
% Data confirmation:
%
% Notes:
% 60 mph for 1 hour
%
% Created on: 22-Jul-1998
% By: SB of NREL
%
% Revision history at end of file.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
% PTF_CUT_NOMINPH
%
% Function PTF_CUT_NOMINPH modifies signal for easier identification by
% Strejc
%
% yn = ptf_cut_nominph(yo)
%
% where
% yo is original signal of step response and
% yn is returned modified signal
% Copyright is with the following author(s):
%
% (c) 2012 Juraj Oravec, Slovak University... |
function obj = adjspikessync(varargin)
%@adjspikessync Constructor function for adjspikessync class
% OBJ = adjspikessync('auto') attempts to create a adjspikessync
% object by ...
%
% When the Sliding option is used, these are how the data fields are used:
% numSets = 0; corresponds to number in nptdata
%... |
function [traceEventAlign, timeEventAlign, nvalidtrs, traceEventAlign_wheelRev,...
timeEventAlign_wheelRev, nvalidtrs_wheel] = avetrialAlign_noTrGroup(eventTime, traces, alldata, frameLength, trs2rmv, alignWheel, printsize, doplots, doNpreNpost)
% eventTime = time1stCenterLick; timeInitTone; % 'beg'; timeStimOn... |
function [Qp] = SecondOrderForwDiff(mu,dL,Pan)
s_p2 = 1/2*dL(Pan(3)) + 1/2*dL(Pan(2));
s_p1 = 1/2*dL(Pan(2)) + 1/2*dL(Pan(1));
mu_p2 = mu(Pan(3));
mu_p1 = mu(Pan(2));
mu_0 = mu(Pan(1));
% Second-order backward difference
A = [ (s_p1 + s_p2) 1/2*(s_p1 + s_p2)^2;...
(s_p1) 1/2*(s_p1)^2];
b = [mu_p2 ... |
function uri = getStorageUri(obj)
% GETSTORAGEURI Returns the list of URIs for all locations
% Copyright 2019 The MathWorks, Inc.
uri = azure.storage.StorageUri(obj.Handle.getStorageUri);
end
|
function plotHotspotOverTime(pointscanCellArray)
% This function creates a plot of the size of a hotspot over time. It takes
% input of a pointscanCellArray created by batchImportPointScans.m
% The function assumes that points are spaced 0.5um apart
% Written by Perry Spratt 2015-07-07
% Go through each pointscan in... |
function [latent_parameter, latent_index] = sage_maximization(latent_signal, latent_parameter, latent_index, sage_const)
% SAGE_MAXMIZATION: Maximization step of SAGE.
% LATENT_SIGNAL: T x F x A x AoD matrix
% CURRENT_PARAMETER: 1 x 5 vector: tof, aoa, doppler, amplitude
T = size(latent_signal, 1);
F... |
clear;
close all;
dataDir='~/Data/Audiovisual_motion/200309FRA_CAS.loc/exp_logs';
% %% congruent vs. incongruent
% cd(dataDir);
% TR=3.3;
% stim1File=dir('*run1.mat');
% stim1=load(stim1File.name);
% stim1_congruenttime_dis2TR=stim1.stimLog.stimCongruentBegnTime-TR*2;
% dlmwrite('stimCongruent_dis2TR.txt',st... |
function alPlots
%
% The data are organized as
%
% 1 2 3 4 5 6 7 8 9 10 11
% Cp rho T U L Lf Xf lenf D Df Wf
% A Af V Vf Cxf Cyf M Mom KE IE TE
% L/D Lf/L Xf/L lenf/L Df/D Wf/D Af/A Vf/V
%
load AlGust.dat
load AlHouse.dat
load... |
function [points, obst_points, home, coord_area, coord_obst] = waypoints2meters(waypointsfile, obstaclesfile)
fid = fopen(waypointsfile);
str = fgetl(fid);
% read line from file
str = fgetl(fid);
% reads data from string str, converts it according to the format,
% and returns the r... |
function varargout = guiPlot(varargin)
% GUIPLOT MATLAB code for guiPlot.fig
% GUIPLOT, by itself, creates a new GUIPLOT or raises the existing
% singleton*.
%
% H = GUIPLOT returns the handle to a new GUIPLOT or the handle to
% the existing singleton*.
%
% GUIPLOT('CALLBACK',hObject,eventData,... |
N=11;
n=(0:N-1)';
w=window(@rectwin,N);
stem(n,w,'linewidth',2);
xlabel('n');
ylabel('R_N(n)');
ylim([0 1.5]); |
clear all;
close all;
clc;
% AÇIKLAMA: [RGB]out 3x1 lik matrisi gerçek rgb değerlerimiz "orjinal_RGB_degerleri.m"
% kodunda bilinen değerlerim.[RGB]in 3x1 lik matrisi ise benim bozuk çıkan
% resmimdeki renk değerleridir.Hedefimiz;[RGB]out = T*[RGB]in formulünden T matrisini
% bulmaktır.Elde edilen dokuz bilinmeyen denk... |
%Matlab codes for Finite Element Analysis
clc; clear all;
elementNodes = [1 2;2 3;2 4];
numberElements = size(elementNodes,1);
numberNodes = 4;
displacements = zeros(numberNodes,1);
force = zeros(numberNodes,1);
stiffness = zeros(numberNodes);
force(2) = 10.0;
for e = 1:numberElements
elementDof = elementNodes(... |
function [cmz_hist,mzaligned, Spaligned, machedindeces] = dp(mzTest, SpTest)
%% dynamic programming alignment
opts.estimationMethod = 'histogram';
opts.mzRes = 0.001;
opts.display = 0;
opts.cmz=[];
opts.correctionMethod = 'shortest-path';
opts.maxPeakshift = 2.5;
opts.gapPenalty=5;
opts.intThr = 0;
counter=1;
for i=1... |
function [ Y ] = eigenbasis( T )
%GORKA ERAŅA ROBLES - This function computes the eigenbases of a real Schur
%form matrix T.
% The implementation follows the computations developed in section 5.6 of
% the dissertation.
[n,~] = size(T);
j = n;
Y = zeros(n);
while ( j ~= 0 )
if ( j == 1 ) %... |
function nm = name(self)
% NAME - user-specified phase name.
nm = phase_get(thermo_hndl(self), 42);
|
function h = progressBar(varargin)
% PROGRESSBAR generates and/or updates a GUI with a single or multiple
% simultaneous progress bars. Also has the ablility to pause and/or
% cancel a process.
%
%
% SYNTAX
%
% H = PROGRESSBAR(message, Name)
% PROGRESSBAR(H)
% PROGRESSBAR(H, 'PropertyName', PropertyValue, ...)
... |
classdef GDparams
%GDPARAMS Hold parameters controlling learning algorithm
properties
n_batch
eta
n_epochs
end
methods
function obj = GDparams(x,y,z)
obj.n_batch = x;
obj.eta = y;
obj.n_epochs = z;
end
end
end
|
function calculate_displacement()
global mouse;
global ax_vec;
global vx_vec;
global ax_sum;
global ay_vec;
global n;
global ii;
global d_count;
displacement = sum(vx_vec);%trapz(vx_vec);
vx_vec = [];
stem(d_count,displacement);
d_count = d_count + 1;
fprintf('Displacement is: %0.2f\n', displacement);
... |
%% The in plane Kittel equation
function [y] = IPKittelEquation(x,gamma,Ms)
% The in plane Kittel equation. Y is FMR field, x is FMR frequency
y = (-Ms + sqrt((Ms).^2 + 4.*x.^2./gamma^2))./2;
end |
function [Ensemble,D,FLIPFLOP,model,update_number,discard_number,STAR]=FindDistancesortupdate(Ensemble,model,Threshold1,Threshold2,update_number,discard_number,lastData,nmix)
D=cell(1,max(size(Ensemble.models,2),size(model,2)));
%D=zeros(1,max(size(Ensemble.models,2),size(model,2)));
FLIPFLOP=zeros(1,max(size(Ensemb... |
function [R_tf, V_tf, y_1, y_2, y_3, t_1, t_2, t_3] = simulation_trajectoire(theta_0, theta, m_e, m_s, M, Mi, mu, c_x, R_terre, H_c, R_c, v_e, alpha)
%%%---------------------- CONDITIONS INITIALES -------------------------%%%
% temps
t_0 = 0;
% position
R_0 = [R_terre; 0];
% vitesse
V_0 = 100 * [cosd(theta_0... |
function [obj] = PreCompute(obj,i)
%PreCompute Summary of this function goes here
% Detailed explanation goes here
dWduvi = obj.w{i}.Compute_dWduvi();
obj.dWdp{i} = obj.sm{i}.Compute_dWdp(dWduvi);
% [obj.VxA,obj.VyA] = obj.tm{i}.Compute_VA();
end
|
function [ d ] = msd( v,V )
%UNTITLED9 Summary of this function goes here
% Detailed explanation goes here
[m n] = size(v);
x = v - V;
x = double(x);
x = power(x,2);
x = sum(x);
x = sum(x);
n = m*n;
d = x/n;
end
|
function solutions = simple_experiment_trial(solvers, scene, ranks)
% solvers
% - find_cameras
% - find_cameras_with_K
% - find_structure
% - find_structure_with_K
num_ranks = numel(ranks);
num_cameras_sans = numel(solvers.find_cameras);
num_cameras_with = numel(solvers.find_cameras_with_K);
num_stru... |
function [ LSD ] = calc_LSD( mag1, mag2 )
%TEST_LSD Summary of this function goes here
%calculate log spectral distortion (LSD) between mag1 and mag2
LSD = mean(sqrt(mean(10*(log(mag1)-log(mag2))).^2));
end
|
clc;clear;
%% script folder
dot = '/Users/brandomiranda/home_simulation_research/overparametrized_experiments/';
cd(dot);
%% Get perturbation errors for natural label experiment
path_random_label='/pytorch_experiments/test_runs_flatness/flatness_29_March_label_corrupt_prob_0.0_exptlabel_pert_retrained_Random_Label_on_N... |
k=0;
for j = 1:100
hidstate=reshape(double(im2bw(reconst_4to3(:,j),0.9)),[373248/288 288])';
for i = 1:288
temp=hidstate(i,:);
if sum(temp(:))>0.1*sum(hidstate(:))
temp(:)=0;
k=k+1;
end
hidstate_sim(i,:)=temp;
end
hidstate_sim_f(:,j)=hidstate_sim(:... |
function printToEPS(myHandle,name)
% printToEPS - Save the figure to EPS format in the folder "Plots".
% Syntax: printToEPS(myHandle,name)
%
% Input:
% myHandle - The handle to the figure which is to be saved
% name - A string containing the file name
%
% Output:
% A file 'name.eps' in the folder 'Plots' with ... |
reconsize = 256;
params.Dsource2centr = 5;
params.Dsource2detec = 10;
params.NumofView = 720;
params.NumofBin = 512; % number of detector bins
params.pixelsize = 2/256;
params.binsize = 0.008;
params.binshift = 0; % detector shift, mm
params.proj = idealSiProj(:,:,1);
iminit = zeros(reconsize);
it... |
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