text stringlengths 8 6.12M |
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function [Output,t_array,Theta_array] = myRadonTrans(Input_Image, Delta_s)
t_array = [-90:5:90]';
Theta_array = [0:5:175]';
Size_Theta = size(Theta_array);
Size_t = size(t_array);
Output = zeros(Size_t(1), Size_Theta(1));
for i=1:Size_Theta(1)
for j=1:Size_t(1)
... |
x=-32:0.1:32;
y=zeros(length(x));
for i=1:length(x)
y(i) = -((0.25)^4)*x(i)*x(i) + 4;
end
plot(x,y);
ylim([0 10]);
set(gca,'XTick',-32:32:32);
set(gca,'XTickLabel',{'-X','0','X'})
set(gca,'YTick',0);
set(gca,'YTickLabel',{'0'}); |
clc
clear all
close all
load('D1(n4k4)')
d = size(D1, 1);
B = gaussian(0.1, 0.3, d, 1000, 1);
m = 4:1:100;
mn = length(m);
n = size(D1, 2);
k = 4;
tol = 10^-5;
y0 = B(:, 250);
%%
for j = 1:mn
err=0;
for i=1:1000
[phi, locations] = delete_rows(d, m(j));
y = phi * y0;
... |
% Volumetric flow [m^3/s]
Q_c(i) = cool.m / rho_c(cool.t(i));
% Flow's velocity [m/s]
w_c = Q_c(i) / cool.A;
% Auxiliary variables
a = s1 / d2;
b = s2 / d2;
if b < 1
psi = 1 - pi / (4 * a * b);
else
psi = 1 - pi / (4 * a);
end
% Arrangement factor
fA = 1 + 2 / (3 * b);
clear a b
% Reynold number
Re_c = w_c... |
function Logical = IsValidString(String,Length)
error(nargchk(1,2,nargin));
if (ischar(String) || iscellstr(String))
Logical = 1;
else
Logical = 0;
end
if (nargin > 1)
if (length(String) > Length)
Logical = 0;
end
end
end |
% $Header: svn://.../trunk/AMIGO2R2016/Preprocessor/AMIGO_gen_C_jacobian.m 2057 2015-08-24 13:06:14Z attila $
function AMIGO_gen_C_jacobian(inputs,fid)
% generate the Jacobian of the system for CVODES
fprintf(fid,'\n/* Jacobian of the system (dfdx)*/\n');
% fprintf(fid,'int amigoJAC(long int N, realtype t, N_Vector y,... |
function [w] = createWindow(M)
% M is L(msec)*Fs(Hz)
%we will create a symmetric window with length 2M
windowLength = M*2;
w = zeros(windowLength,1);
for i=0:windowLength
if(i>=1 && i<=M/2)
w(i)=0.54-0.46*cos((2*pi*i)/M-1);
elseif(i>=M/2+1 && i<=(3*M/2))
w(i)=1;
elseif(i>=(3*M/2)+1 && i<=2*... |
% Testing whether the quality improves if the filter is iterated
function denoise_demoGuidedFilter_iterations()
%% Import test data
load(fullfile('..', 'debugMATs', 'testSlices.mat'))
% z-slices of 9-11 from first time point of:
% "CP-20150323-TR70-mouse2-1-son.oib" from Charissa
... |
function [ lst_out, eot_correction ] = get_ace_lst( tanstruct_in, do_EOT )
%A function to calculate the local solar time (LST) of ace measurements
%using the ace measurement times and the longitudes.
%Longitude information can be added to an ace structure using
%'merge_ace_glc.m'.
% *INPUT*
% tanstruct_in: S... |
function filter = isConstant(fieldArr)
filter = zeros(1, length(fieldArr));
for i = 1:length(fieldArr)
field = fieldArr(i);
filter(i) = length(field.src.time);
end
filter = filter < 2; |
function agents = InitializeAgents( areaSize, susceptibles, infected, recovered)
agents = zeros(areaSize, areaSize, 3);
susceptiblePositions = randi(areaSize, susceptibles,2);
agents(:,:,1) = GenerateLattice(susceptiblePositions, areaSize);
infectedPositions = randi(areaSize, infected,2);
agents(:,:,2) = G... |
%% --------------------------- Missile Parameters ------------------------- %
clc; clear all; close all; set(0,'defaultfigurecolor',[1 1 1]);
global tF rho_v rho_w M_d T_m Vc tau N K K_dth dt tout resolution
%%
% load('traj_unsat');
% ------------------- Initialize Simulation ------------------- %
MP = 1; NMP = -... |
function [mu_in, sigma_in, mu_out, sigma_out] = meanshift_method( data,sigma, width, w_s_1, w_s_2, thrd )
%SCRIBBLE Summary of this function goes here
% Detailed explanation goes here
I_obj = [];
I_bck = [];
% for im = 1:round(numel(data)/4) %zebrafish
% for im = 26:26 %pig
for im = 1:1 %bunny
I = d... |
function [f, df, d2f] = objFunQuad( x, Q, b, c )
%OBJFUNQUAD evaluate objective function, gradient, and hessian
%for quadratic problem
%
% inputs:
% x current iterate
% Q n x n matrix
% b vector (linear part)
% c constant vector
%
% outputs:
% f objective value
% ... |
function print_vector(label, vector, spacing)
ret = [];
for i = 1:spacing
ret = [ret, '...'];
end
ret = [ret, label, ': | '];
for i = 1:length(vector)
ret = [ret, num2str(vector(i)), ' | '];
end
disp(ret);
end |
%绘制船体优化后
function wLine = dispBoat(theta,z0)
[A, B, H] = setValue();
xc = 0;
yc = 0;
zc = H;
xr = sqrt(H/A);
yr = sqrt(H/B);
zr = H;
xUp = xr*0.5;
yUp = yr*0.5;
zUp = zr*0.5;
hold on;
xlabel('x');
ylabel('y');
zlabel('z');
[X, Y, Z] = ellipsoid(xc,yc,zc,xr,yr,zr,100);
Size = size(X);
colSize = Size(1);
z1 = Z;
z1(ceil(... |
function CC_delete_missmatch
data = importdata('../doc/CC_bipolar_label_counts.log',',');
strs = cellfun(@(x) regexp(x,'_','split'),data.textdata(:,1),'uni',0);
strs(1) = [];
subs = cellfun(@(x) x{1},strs,'uni',0);
runs = cellfun(@(x) x{2},strs,'uni',0);
runs = str2double(runs);
diffmask = diff(data.data,[],2) ~= 0;
b... |
function relations = MakeRandomRelations2( h )
relations=cell(2,h);
for i=1:length(relations)
relations{1,i}=i;
curRelNum=round(rand*5+0);
% relations{2,i}=i;
% relations{3,i}=i;
if (curRelNum==0)
curRel='EXN';
relations{2,i}=curRel;
relations{2,i+1}=curRel;
... |
function p=orient_stats(bins,orientations)
fi=find(bins.light>80);
bi=find(bins.light<100);
idx=intersect(fi,bi);%get the right bins
p_odour=sum(orientations.odour(:,idx),2);
p_light=sum(orientations.light(:,idx),2);
p_odour2=sum(orientations.odour2(:,idx),2);
p_light2=sum(orientations.light2(:,idx),2);
%use the p... |
classdef HyperParam < Tensor
methods
function addgrad(obj, grad)
obj.gradient.push(grad);
end
function update(obj)
if isempty(obj.prior)
grad = obj.gradient.pop();
grad = obj.stepsize(grad) * grad;
else
... |
%% Function description
% The function solves a system of equations for
% diagonally dominant matrix A using the Jacobi iteration method
% Inputs: A (diagonally dominant matrix)
% b (a vector)
% tol (specifies the tolerance of accuracy)
%% Function code
function [x, iteration_count] = jacobi(A, b, tol... |
function [IB,tB,icB]=Bursts2Spikes(BP,BI,icA)
%[IB,tB,icB]=Bursts2Spikes(BP,BI,icA);
% Function purpose : Coverts burst timing (Burst peak) and intensity (burst intensity) cell arrays to index channel representation
%
% Function recives : BI [ms]- cell array of the number of clusters length with the total activty in... |
% 7/26/13
% intergrateMode1.m
% nested function to intergrate quadrotor with cable-suspended load
% no controller
% 1D case
% Dependancies: desiredTraj.m
%
% inputs:
% tspan: 1x2 vector, [timeBegin timeEnd]
% x10: 1xn vector, initial conditions
% g, mL, mQ, JQ, l: real numbers, constants
% kpx, kdx, kpL, kdL, ... |
function [x,kount] = orbit6(z)
phi=inline('z.^2 -1.25');
fxpt1 = -0.724745;
fxpt2 = 1.72474;
zk = z;
iflag1 = 0;
iflag2 = 0;
kount = 0;
while kount < 100 && abs(zk)<= 100 && iflag1<5 && iflag2< 5
kount =kount +1;
zk=phi(zk);
err1=abs(zk-fxpt1);
if err1 < 10^(-6), iflag1=iflag1+1; else,iflag1=0... |
function [rbox] = hamg4_to_box(rham);
% function [rbox] = hamg4_to_box(rham);
% WARNING! do not use
%
% Convert Hamming apodized radiance to crude approximate
% boxcar/unapodized radiance by a linear combination of radiances.
% This version requires 4 guard channels at each end of the band(s).
%
% Input:
% rham - [... |
function [centricEllipticalMask] = centricDisk(maskSize,radius)
%
%
% TODO: make it for n dimensional
if isscalar(maskSize)
if isscalar(radius)
%create circle in square mask
radius= [radius, radius];
maskSize = [maskSize, maskSize];
else
maskSize = repmat(maskSize,1,length(rad... |
function [Wx, Wy] = trainCCA(Cxx, Cyy, Cxy, dCCA)
%
% Input
% Cxx : covariance matrxi of X-X
% Cyy : covariance matrxi of Y-Y
% Cxy : covariance matrxi of X-Y
% dCCA : # of CCA dimensions
% Output:
% Wx : projection matrix of X
% Wy : projection matrix of Y
%
% [Ndimx Ndimy] = size(Cxy);
% eta = S3PLHpa... |
function NewSamples = samplesChunked(Samples,Nrep,SampleSize);
% Waveform/samples - chunks the samples from waveform object to make it work with Nrep
%
% [Y] = samplesChunked(W) gets a fully expanded and breaks it into
% chunks. These chunks can be used with Nrep.
%
% Created by Gowtham 21/08/20
% (L... |
% Daniel Fortunato (81498), Teodoro Dias (81723), Pedro Santos (84162)
function [J, dejp, dejr] = jacobianDetermination(i, j, w)
syms th0 th1 th2 th3 th4 th5
a1=0; a2=0; a3=40; a4=-120; a5=0; a6=0; a7=20; a8=0; a9=0; a10=0;
alpha1=0; alpha2=0; alpha3=-sym(pi)/2; alpha4=0; alpha5=0; alpha6=-sym(pi)/2; alpha7=... |
% STFT -- Short-Time-Fourier-Tranformation
% spectrogram, matlab built-in function
close all,clc
N = 1024;
n = 0:1:N-1;
w0 = 2*pi/5;
x = sin(w0*n)+10*sin(2*w0*n);
subplot(2,1,1)
plot(x)
subplot(2,1,2)
S = spectrogram(x,10,5);
spectrogram(x, 'yaxis') |
plotType=1; %1 for constant angle 2 for constant l/w
switch plotType
case 1 %l/w
dv='lw';
dvunits = '';
dvlabel = 'l/w';
dvaxis =[0,1.4,0.05,0.40]
case 2 %angle
dv='ang';
dvunits = '\circ';
dvlabel = 'Angle (\circ)';
dvaxis =[0,120,0.05,.45]
... |
function yprime = syst_odes_wSocCoupling(t, x_vec, parameters_, temp_history, x0)
global data
temp_pred_ON = 1; % Whether to use temp. pred. for indiv. or not ( ON == 1; OFF == 0)
x = x_vec(1);
C_at = x_vec(2);
C_oc = x_vec(3);
C_veg = x_vec(4);
C_so = x_vec(5);
T = x_vec(6);
%%% Initial c... |
% % clc
% % clear
clc
clear
for ii = 1:p:r-p+1
for jj = 1:p:c-p+1
matrix_gen = HH(ii:ii+p-1,jj:jj+p-1);
[co1(ii:ii+p-1,jj:jj+p-1)] = enc_edgy(matrix_gen,val(:,:,val_v));
count2=count2+1;
count = count+1;
if(count>=z1)
break;
end
%LH
... |
function [pupil,fbs]= fbspupil(npix, nmodes, Npix, lambda, error, rnphot)
%% Fourier Mode Generator
[fbs]=makefbs(npix,nmodes);
mask=zernike(0,0,npix);
fbs=fbs.*mask;
%% Normalize fourier modes
fsz=size(fbs);
for i=1:fsz(3)
fbs(:,:,i)=fbs(:,:,i).*sqrt(1/sum(sum(fbs(:,:,i).*fbs(:,:,i))));
end
%% Make into complex P... |
function outdata = subfnReturnBootStrapData(indata, samples)
if nargin == 1
N = length(indata.Y);
% find the number of groups if stratified resampling will be done
if ~isempty(indata.STRAT)
Gr1 = find(indata.STRAT == 0);
NGr1 = length(Gr1);
Gr2 = find(indata.STRAT == 1);
NGr2... |
function [ x ] = ValidateImage( imagePath )
image = imread(imagePath);
image = FaceDetection(image);
[R C] = size(image);
if(R == 0 && C == 0)
x = 0
else
x = 1
end
end
|
% For all the test follows, enumNonhydroBoundaryCondition.Zero
% corresponds to the eidtype of boundary edge flaged to be -1, for those
% boundary edge point, the non-hydrostatic pressure there is set to be
% zero. Likewise, enumNonhydroBoundaryCondition.ZeroGrad corresponds to the
% same edge point with the non-hydros... |
function history=BotHistory(bots)
% BOTHISTORY Saves current bot attributes into "history" record
history(:,1)=[bots.x];
history(:,2)=[bots.y];
history(:,3)=[bots.p];
history(:,4)=[bots.q];
history(:,5)=[bots.v];
end
|
runTrainSim = 1;
writeTrainVideos = 0;
generateNnData = 1;
trainNetwork = 1;
runSim = 1;
if runTrainSim == 1
close all hidden;
clear uArena;
names = {'cyberzooCW' 'cyberzooCCW' 'cyberzooBucket'};
add_args = {0 0 0 0};
v_max = 3;
% Simulate
sim... |
% deblurring of the camera image using IST and various flavors of SpaRSA.
close all
clear
clf
f = double(imread('Camera.tif'));
[m n] = size(f);
scrsz = get(0,'ScreenSize');
figure(1)
set(1,'Position',[10 scrsz(4)*0.05 scrsz(3)/4 0.85*scrsz(4)])
subplot(3,1,1)
imagesc(f)
colormap(gray(255))
axis off
axis equal
title... |
function [Mono,V]=swr_preprocessing(CORTEX,states,fn)
%Band pass filter design:
Wn1=[100/(fn/2) 300/(fn/2)]; % Cutoff=100-300 Hz
[b1,a1] = butter(3,Wn1,'bandpass'); %Filter coefficients
Wn1=[320/(fn/2)]; % Cutoff=320 Hz
[b2,a2] = butter(3,Wn1); %Filter coefficients
%Convert signal to 1 sec epochs.
... |
function outputImg = imscramble(inputimg)
imgGray = mat2gray(double(inputimg));
% read and rescale (0-1) image
imgSize = size(imgGray);
% generate random phase structure
randPhase = angle(fft2(rand(imgSize(1), imgSize(2))));
for layer = 1:imgSize(3)
imgFourier(:,:,layer) = fft2(imgGray(:,:,layer)... |
%% Monocular Camera Sensor Design：単眼カメラモジュールの動作モデル
% 白線と車両の検出・ワールド座標で結果出力
% 自車と障害物までの距離の推定
% Copyright 2016 The MathWorks, Inc.
clc;clear;close all;imtool close all;
%% カメラ内部と配置のパラメータを設定（monoCameraクラス：imageToWorld, worldToImage メソッド(点座標の変換)を提供）
% カメラキャリブレーションで求めたカメラ内部パラメータを設定（専用クラス）
% （レンズ歪が少ないため、ここではレンズ歪補正はなし）
fo... |
function ConfusionMatrix( res_dir_name, out_file_name, print_flag )
%% Dictionary of actions
file_name = 'action_label.txt';
fileID = fopen(file_name);
data = textscan(fileID,'%s');
fclose(fileID);
DICT = containers.Map;
AL{length(data{1}),1} = '';
for i=1:length(data{1})
DICT(data{1}{i}) = i;
AL{i,1} = data{1}{i... |
%% ========================================================================
%% BASIC SETUP %% BASIC SETUP %% BASIC SETUP %% BASIC SETUP %%
%% BASIC SETUP %% BASIC SETUP %% BASIC SETUP %% BASIC SETUP %%
%% BASIC SETUP %% BASIC SETUP %% BASIC SETUP %% BASIC SETUP %%
%% ====================================================... |
function x1=prodsum(A,x,B,u)
x1=x*A+u*B;
end
|
function t = canshuhua(M,d)
%UNTITLED2 此处显示有关此函数的摘要
% 此处显示详细说明
t(1)=0;%开始参数化 ti i=1,2...,M+1
ds=0;
for j=1:M
ds=ds+norm(d(j+1,:)-d(j,:))^0.5;
end
for i=1:M
t(i+1)=t(i)+norm(d(i+1,:)-d(i,:))^0.5/ds;
end%参数化完成
end
|
function drawgeo(filename, rot, lcolor, scale);
if nargin < 3
lcolor = 'k';
end
if nargin < 4
scale = 1;
end
points = [];
lines = [];
arcs = [];
rmid = 0.07251;
xoff = 0;
rso = 0.11795;
fid = fopen(filename, 'r');
while ~feof(fid)
so = readline(fid);
so(find(so==' ')) = [];
s = so;
for ind_s =... |
function [accuracy are_pairs] = are_groups_pairs(BIRDS,PEDIGREE,groups,year)
n = length(groups);
are_pairs = zeros(n,1);
iterator = 0;
for i=1:n
if length(groups{i})==2
iterator = iterator+1;
x = groups{i}(1);
y = groups{i}(2);
are_pairs(iterator) = PEDIGREE.is_pair(BIRDS,x,y,year);... |
function summa=plus(A,B)
if isnumeric(B)
summa=A;
summa.c(summa.m0ind,summa.n0ind)=get00(A)+B;
elseif compatible(A,B)
summa.m=A.m;
summa.n=A.n;
summa.m0ind=A.m0ind;
summa.n0ind=A.n0ind;
summa.c=A.c+B.c;
summa.s=A.s+B.s;
summa=mnmat(summa);
else
error('A and B not compatible')
end |
function signal = create_signal(sinusoids,noise_amp, len_sign, Fs)
% Takes the sinusoids and noise_amp variable and turn them into a signal
% which lenght correspond to signal length.
% sinusoids : [freq, phase, amp]
% noise_amp : noise amplitude
% len_sign: signal's lenght in second
% Fs : sample frequency
... |
function interpolator(bore1,strk1,etype,bore2,strk2,trq_vec,spd_vec,sfc,no,hc,co,new_filename)
%this function was converted from fortran to MATLAB code by Sam Sprik of NREL in December 2001
%Original fortran code is described below
%bore and strokes in cm, etype=1,2,or 3, map=, trq_vec in N, spd_vec in rad/s
%no,hc,co... |
clc;clear;
im = imread('Syros_Ermoupolis.jpg');
sigma_start = 1;
sigma_end = 15;
R_DOF_start = 500;
R_DOF_end = 700;
R = size(im,1);
sigma = ones(R,1);
filt_size = ones(R,1);
im1 = im;
im_red = im(:,:,1);
im_green = im(:,:,2);
im_blue = im(:,:,3);
k = zeros(R_DOF_start-2,1);
for j = 0:R_DOF_start-2
k... |
% Laboratorium nr 3
% 1. Probkowanie
setenv GNUTERM 'x11'
F = 1000;
T = 1;
A = 1;
zak = 300;
baseFpr = 10000;
function [] = probkowanie(F, T, A, fpr, base, zak, j)
figure(j);
[t,y] = sinus(A, F, fpr, 0, T);
subplot(3,1,1);
if (fpr == base)
plot(t(1:1000), y(1:1000))
else
plot(t, y);
endif
title(["fpr =... |
%% Stelling 21
%
% Het aanmaken van een numerieke vector kan voor een
% Bewegingstechnoloog handig zijn om bijvoorbeeld een
% tijdvector aan te maken (een vector bestaande uit
% tijdstippen).
%
Antwoord = 1;
|
%Get the current for the environment
% state 1: No car visible in nearby tiles (horizon 1)
% state 2: car visible on left tile
% state 3: car visible on front tile
% state 4: car visible on right tile
function state=Q_getState(map, position)
global mapSize;
x=position(1)-1;
y=position(2);
state=1; %def... |
function lineH = notePlot(note, timeUnit, color, startTime)
%notePlot: Plot note-format music sequence
% Usage: notePlot(note, timeUnit)
% note(1:2:end): Semitone in MIDI representation
% note(2:2:end): Duration in timeUnit second
% (Default value for timeUnit is 1/64 seconds.)
%
% Example:
% pitch=[68 65 65 66 63... |
options={'existing_data','overwrite','warning_pause=0','debug_mode=50',...
'skip_write_civm_raw','write_unscaled','skip_filter','use_new_bruker_padding','skip_mem_checks'};%,'ignore_errors'};%,'ignore_kspace_oversize'};
try % 128 scott
%[success_status_jcnUTE3D,img_jcnUTE3D, data_buffer_jcnUTE3D]=rad_mat('nemopv6'... |
function [ min,max,name ] = Prompting
%Prompting will prompt user for max and min temps
max = input('Input the max temp in degrees F');
min = input('Input the min temp in degrees C');
if min > max
[max,min] = Switch(max,min);
end
name = input('Input name of file to be made','s');
end
|
initialization;
for dataset = datasets
[X, y] = load_data(char(dataset));
if sum(sum(ismissing(X)))>0
fprintf('%s exists missing data\n', char(dataset));
end
X = rmmissing(X);
end |
timeperiod=[0 1000];
label_win={'1s_windows'};
trblocks=[1];
exblocks=[2 3];
outblocks=[4 5];
n_con_ex=60;
clear dm Res_in Res_out
code_louk_asynch_gen
gawd1=dm;
gawd1sav=dmsav;
gawdR1o=Res_out;
gawdR1i=Res_in;
gawd1perf=perfcomp(gawd1,'out','dec',1);
gawd1cal=calperf(gawd1,'out','dec');
trblocks=[2];
exblocks=[1 3... |
close all; clear; clc;
bits_tx = randi(2,100,1)-1;
[encoded_bits,H] = ldpc_encoder(bits_tx);
% encoded_bits'
a = randi(5,1,1);
bits_corr = encoded_bits;
for i = 1:length(a)
bits_corr(a(i)) = not(bits_corr(a(i)));
end
% bits_corr'
err = encoded_bits - bits_corr;
e1 = sum(abs(err))
mod = 2*bits_corr - 1;
sigma = 0... |
function g = CNOT(control_q, target_q)
% CNOT
% Copyright 2017 Yulin Wu, University of Science and Technology of China
% mail4ywu@gmail.com/mail4ywu@icloud.com
import sqc.op.physical.gate.*
g = Y2m(target_q)*CZ(control_q,target_q)*Y2p(target_q);
g.setGateClass('CNOT');
end
|
function desiCallbacks(~,~,fig,defP)
%desiCallbacks - update the toolbar's callback functions in here
% This is for reloading an already analysed dataset
%set(fig.tb.new,'ClickedCallback',{@desiFileUpload,fig,defP});
set(fig.tb.new,...
'ClickedCallback',{@desiDrawSideMenu,fig,{@desiFileUpload,fig,defP}});
% Tripl... |
function [S,info] = ssr2D3D_alm(W,B,lam,beta,varargin)
tol = 1e-3;
refine = false;
verb = true;
if nargin < 4
beta = inf;
end
ivargin = 1;
while ivargin <= length(varargin)
switch lower(varargin{ivargin})
case 'tol'
ivargin = ivargin + 1;
tol = varargin{ivargin};
case '... |
function [ XE5,dXE5 ] = XE5( context, H )
%XE5 ELECTRON DENSITY FOR THE E AND VALLEY REGION
% REAL FUNCTION XE5(H)
% ELECTRON DENSITY FOR THE E AND VALLEY REGION (HME..HEF).
% LOGICAL NIGHT
% COMMON /BLOCK4/ HME,XNME,HEF
% & /BLOCK5/ NIG... |
function plotData(X, y)
%PLOTDATA Plots the data points X and y into a new figure
% PLOTDATA(x,y) plots the data points with + for the positive examples
% and o for the negative examples. X is assumed to be a Mx2 matrix.
% Create New Figure
figure; hold on;
% ====================== YOUR CODE HERE ===============... |
% startup script.
if exist('../startup_ahf.m', 'file')
run('../startup_ahf.m');
end
addpath([projroot '/matlab/low/1d']) %#ok<*MCAP>
addpath([projroot '/matlab/low/2d'])
addpath([projroot '/matlab/low/3d'])
addpath([projroot '/matlab/low/mixed'])
addpath([projroot '/matlab/mid/1d'])
addpath([projroot '/matlab/mid/2d... |
%Helper for Ex 16, 17, 18; Andrew Banman
%Function to generate the lazyWitness homology from a distance matrix and a choice of field coefficients
function intervals = lazyWitness(distances, coeff_dim,file_name)
import edu.stanford.math.plex4.*;
import edu.stanford.math.plex_viewer.*;
nu = 1;
num_lpt = 50;
num_div = 10... |
function a = setPressure(a,p)
% SETPRESSURE Set the pressure [Pa].
%
% The pressure is set by changing the density holding the
% temperature and chemical composition fixed.
%
if p <= 0.0
error('the pressure must be positive')
end
thermo_set(a.tp_id,1,p); |
function [n_algae, n_dissolved, n_sediment, vol_areas, L_bottom] = Nutrient_content(A,Rd,Rs,p)
%% Total nutrient density of the system at t=0 (to be conserved)
n_sediment = zeros(1,p.Xn-1);
n_algae = zeros(p.Yn-1,p.Xn-1);
n_dissolved = zeros(p.Yn-1,p.Xn-1);
vol_areas = zeros(p.Yn-1,p.Xn-1);
L_bottom = zeros(p.Xn-1,1)... |
function show_all_figs(res,plot_idx)
figure(res.fig.pos());
plotList = {res.fig.eff_hip,res.fig.eff_kne,res.fig.eff_ank,res.fig.eff_hk,res.fig.eff_ha,res.fig.eff_ka};
for i=1:length(plot_idx)
plotList{1,plot_idx(1,i)}();
end
% figure(res.fig.eff_hip());
% figure(res.fig.eff_kne());
% figure(res.fig.eff_ank());
% f... |
%DEFINEMODELITUOBSBYWOODLAND
%
% Yaguang Zhang, Purdue, 05/07/2021
% ITU-R P.833-9 obstruction by woodland model. Note that we do not
% differentiate the signal polarization here.
modelItuObsByWoodland.refParameterValues.freqInMHz ...
= [105.9, 466.475, 949.0, 1852.2, 2117.5];
% Specific attenuation, gamma, in dB/... |
clear; % 清除工作区变量
clc; % 清除命令行窗口
warning('off') % 忽略警告
n = 10; % 设定种群数量
ger = 20; % 设定进化代数
mygafit = zeros(1,15);
psofit = zeros(1,15);
for i = 1:15
fitness_best1 = myga(n,ger,[-5 -5],[5 5]); % 使用遗传算法优化
fitness_best2 = pso(n,ger,[-5 5;-5 5]); % 使用粒子群算法优化
mygafit(i) = max(fitness_best1);
psofit... |
function [x_final,t] = newton_search(x,d,G,H)
% x: start point
% d: search step
% J: funtion
% G,H: gradient and hessian
t=0;
for i=1:50
grad = G(x+d*t);
hess = H(x+d*t);
g = grad'*d;
h = d'*hess*d;
t = t - g/h;
%fprintf('t=%f\n',t);
end
x_final = x+d*t;
end
|
function [x,runningAvg,error] = ConsensusRobustv2(n,dim,packetloss,iterations,k)
%Variables
n; %number of nodes
k; %number of standard iterations: corrective iterations
packetloss_lambda = packetloss; %mean packets dropped per iteration
iterations; %iterations of consensus averaging
k; %number of standard consensus ite... |
function Interpolated_line_positions = interp_equi(Points_position,Segment_length)
% Interpolate N-D points to form a line. The segments of the line have a
% length of Segment_length.
% Points are assumed to be ordered.
% Input
% Points_position = N x N_d array representing the N_d-D positions of N points.
% Segment_l... |
1;
% Start of Global Script
global len_prox = 44.6;
global len_inter = 26.3;
global len_distal = 17.4;
global lb_angle_prox = -pi /3;
global lb_angle_inter = -2*pi/3;
global lb_angle_distal = -2*pi/3;
global ub_angle_prox = pi/3;
global ub_angle_inter = 0;
global ub_angle_distal = 0;
global error_margin = 0.... |
close all
clear all
clc
% ------------------------------------------------
% datos
% largo de la barra
L=1;
% cantidad de nodos
M=1;
% variable simbolica
syms x;
% define la matriz K y el vector f
K=zeros(M);
f=zeros(M,1);
% calcula los valores de K y f
for l=1:M
% K
for m=1:M
... |
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... |
% cmd: rosinit('127.0.0.1')
% cmd: rosshutdown
x_base = [0 0.76 0.76 0 0]; y_base = [-0.04 -0.04 1.80 1.80 -0.04];
plot(x_base, y_base, 'b')
axis([-0.04 0.80, -0.08 1.84]);
x_robot_before = 0;
sist_plot = 0;
have_plotted = false;
X_before = 0;
Y_before = 0;
X = 33.5; Y = 0;
WIDTH = 0.76; RADII = 0.04;
h... |
#computes the solution for one iteration of least squares to align a set of points onto another
#Pi: the 6xN matrix of reference points with normal
#Pj: the 6xN matrix of current points with normal
#Omega: the information matrix of the points, assumend to be the same for all
#X: the isometry of the transformation
#
# X... |
function val = pseudoRsq(ll, llSat, llNull)
if numel(ll) > 1 || numel(llSat) > 1 || numel(llNull) > 1
x=1;
end
if any(isnan([ll llSat llNull]))
x=1;
end
if llSat < llNull
x=1;
end
if llSat < ll
x=1;
end
assert(llSat >= llNull);
assert(llSat >= ... |
function img_combine = mrir_array_combine(img_multichan, METHOD, varargin)
%MRIR_ARRAY_COMBINE
%
% img_combine = mrir_array_combine(img_multichan, METHOD);
% TODO: return measure of phase compatible with root-sum-of-squares
% combination, e.g., homodyne detection (Noll et al., 1991)
% TODO: implement all special case... |
function [syn,deltat,estParam,hyper_params]=synapse_xcorr(Tlist,hyper_params)
% syn_params(1) = latency
% syn_params(2) = time constant
% syn_params(3) = weight
if isfield(hyper_params,'bin_width')
bin_width = hyper_params.bin_width;
else
bin_width = .00002;
end
% fit model
options=[];
options.method = 'cg';... |
function x = mynansum(x,dim)
% mynansum [Not a public function] Sum implemented for data with in-sample NaNs.
%
%
% Backend IRIS function.
% No help provided.
% -IRIS Macroeconomic Modeling Toolbox.
% -Copyright (c) 2007-2017 IRIS Solutions Team.
%***********************************************************... |
%{
Jacob Leonard
ITP 168 - Fall 2015
jaleonar@usc.edu
Revision History
Date Changes Programmer
-------------------------------------------------
9/27/2015 Original Jacob Leonard
%}
play = 'y';
decide = strncmpi(play,'Y',1);
while decide == 1
fprintf('Series Approximations \... |
%% Run this script to generate Fig. 3 from
%
% H. Blasinski, J. Farrell and B. Wandell; 'An iterative algorithm for spectral
% estimation with spatial smoothing,' ICIP 2015, Quebec City
%
% Copyright, Henryk Blasinski, 2015
close all;
clear all;
clc;
fName = fullfile(iterSpEstRoot,'Results','noisyLightScene.mat');
... |
function errory = wienerExp(er)
if er==1
last=-7;
else
last=1;
end
errory=zeros(numel(-7:last),numel(-10:0.5:10));
Im=load('images.mat');
y2=Im.y2;
[My2,Ny2]=size(y2);
h=estMask(Im.x1,Im.y1);
[Mh,Nh]=size(h);
H=fft2(h,My2,Ny2);
for i=-7:last
a=10^i;
if er==2
y2=Im.y... |
function [ map ] = visualize_scanpath( image, scanpath, scanpath_times )
tpf=300; %if scanpath does not provide time, set default as 300
if nargin < 3 && size(scanpath,2) > 3
scanpath_times=scanpath(:,3:4);
else
f=1:size(scanpath,1);
scanpath_times(:,1)=tpf.*f - tpf;
scanpath_times(:,2)=tpf.*f;
end
fi... |
function [result]=game()
tableSize=input('Tablo Boyutu Giriniz: ');
if(tableSize <10)
tableSize=10;
end
% oyuncunun oyun hakkı
rightToPlay=round((tableSize*tableSize)/3);
% açık tahtanın tanımlanması
openTable=zeros(tableSize+1,tableSize+1);% +1 sebebi 1 den tablo boyutuna kadar tablonun dış çerçevesinin oluştur... |
function summation = GaussianQuad(a,b,N,f)
% a = first point of integral
% b = final point of interval
% N = number of intervals
% f = function
wi = zeros(5,1); % pre-allocate vector sized 5 for wi values
xi = zeros(5,1); % pre-allocate vector sized 5... |
%% Stelling 15
%
% In Matlab kun je alleen rijvectoren maken.
%
Antwoord = NaN; % vul hier het juiste antwoord in 1 (WAAR) of 0 (ONWAAR)
|
clear;clc,close all;
%% 建立机器人DH参数，初始状态为竖直状态
L1=Link('d',144,'a',0,'alpha',0,'modified');
L2=Link('d',0,'a',0,'alpha',pi/2,'offset',-pi/2,'modified');
L3=Link('d',0,'a',-264,'alpha',0,'modified');
L4=Link('d',106,'a',-236,'alpha',0,'offset',-pi/2,'modified');
L5=Link('d',114,'a',0,'alpha',pi/2,'modified');
L6=Link('d',... |
%% Build link capacity
function [ c_link ] = build_metrics(conn, wdm_order,tdm_order)
c_link = zeros(size(conn,1),size(conn,1),wdm_order,tdm_order);
for i = 1: wdm_order
for j = 1:tdm_order
c_link(:,:,i,j) = 1e9./tdm_order.*conn;
end
end
% if (strcmp(type,'blocco_m')) || (strcmp(type,'lossless_m'))... |
filefolder = 'C:\Users\praveen\Desktop\imgp\5\Input Images\';
imagefiles = dir(fullfile(filefolder,'*.*'));
nfiles = length(imagefiles);
for i=[6]
filename = imagefiles(i).name;
fullfilename = fullfile(filefolder,filename);
im = imread(fullfilename);
im = rgb2gray(im);
im2 = im2b... |
function [] = splitTimeMachineScan(inDir, dimensions, varargin)
p = inputParser;
p.addRequired('inDir', @ischar);
p.addRequired('dimensions', [], @(x)validateattributes(x,{'numeric'},{'size',[1 2]});
p.addParameter('inFile', '', @ischar);
p.addParameter('regions', 4, @isnumeric);
p.parse(inDir... |
function [t,w]=eulercauchy(fun,a,b,yt0,n)%la funcion Euler necesita lo sig:
%fun: funcion a evaluar
%rango de intervalos: a(valor inicial), b(valor final)
%yt0= valor inicial de a evaluar cuando t=0
%n=num. de intervalos
h=(b-a)/n; %esto es para saber a que paso se hacen los intervalos
t(1)=a; %esto es para que se ap... |
% function result = membrane_current_GHK(params, rho, V)
%
% Molecular flow across membrane for GHK flux equation.
%
% Inputs
% params -> state of system
% rho -> optional density if different from params.rho (mM = moles/m^3)
% V -> optional voltages if different from params.rho (V)
%
% Output
% r... |
T = readtable('AOI_lookup.txt');
number = size(T,1);
conditions = {'aois_N', 'aois_C', 'aois_H'};
for c = 1:numel(conditions)
condition = conditions{c};
load([condition, '.mat']); % imports the pregenerated AOIs variable
condition(1:3) = 'AOI';
AOI = eval(condition);
X1 = zeros (number, 1);
... |
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