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function [normalized_data, varargout] = gaussian_normalization(input,varargin)
% Normalisiere Input der Art, dass danach Mittelwert=0 und
% Standradabweichung=1 gilt.
args = varargin;
nargs = length(args);
if isscalar(input) == 1 % Fall eines einfachen Skalars
m=0;
std_deviation = 1;
... |
function [t,x,days,K_disc,A,Kfun] = lockdown(data, K0_disc, K0_cont, options)
%
% [t,x,days,K_disc,A,Kfun] = lockdown(data, K0_disc, K0_cont, options)
%
% Lockdown è divisa in 3 parti: calcolo i k discreti, fitto i valori
% discreti per ottenere una funzione continua k(t) inserendo i parametri
% del fitting po... |
function ubergraph
global g_axis
set(gca,'Color',[0 0 0])
set(gca,'Xcolor',[0.5 0.5 0.5]);
set(gca,'Ycolor',[0.5 0.5 0.5]);
set(gcf,'Color',[0 0 0]);
grid
xlabel('Hue')
set(gcf,'KeyPressFcn',@key_press)
g_axis = gca;
end
function key_press(obj,event)
global g_axis
l_xlim = get(gca,'Xlim');
l_ylim = get(gca,'Yl... |
function testVariables = Windtunnel_one_dimensional()
%Windtunnel_one_dimensional Summary of this class goes here
% Detailed explanation goes here
%These are the obligatory variables
v.nYawInput = 1;
v.xMin = -45;
v.xMax = 45;
v.xMinrad = deg2rad(v.xMin);
v.xMaxrad = deg2rad(v.xMax);
v.displayName = 'Windtunnel one ... |
% 2D Dimension-by-Dimension domain decomposition sparse PA method of whole
% image
% F1: the input image data(take absolute value if it is complex)
% part_x: the number of subdomains in x direction
% part_y: the number of subdomains in y direction
% res: position integer, change resolution of reconstruction
% n_m... |
function z=fh3(x,y1,y2,y3,y4)
z=y4;
end |
function client = createCloudQueueClient(obj, varargin)
% CREATECLOUDQUEUECLIENT Method to create a client for the Queue Service
%
% Copyright 2019 The MathWorks, Inc.
clientJ = obj.Handle.createCloudQueueClient();
client = azure.storage.queue.CloudQueueClient(clientJ);
end %function
|
function [Var,C,Z,Hsbl,Corners] = PlotAFront(fname_VARS,fname_DIAS,VarOp,Front,W,Res,flip,plotting)
%This function plots an along-front average in C,Z (across
%front-depth) space of the variable defined by VarOp (see
%pcolPlotNC.nc) for the front defined by Front = [lon_w lat_w lon_e
%lat_e depth time] (western and eas... |
function theta = sGradDescent(X, y, theta, alpha, iterations)
#
#
# Performs Stochastic gradient Descent to learn theta
# theta = sGradDescent(x, y, theta, alpha, iterations) updates theta by
# computing delta-theta over a given number of iterations
# number of training examples
m = length(y);
err = zeros(size(t... |
function AnalysisResult3d( obj )
%ANALYSISRESULT3D Summary of this function goes here
% Detailed explanation goes here
OutstepNum = obj.outputFile.outputStep;
Nz = obj.mesh3d.Nz;
Npz = obj.mesh3d.cell.Npz;
Nph = obj.mesh3d.cell.Nph;
Nptol = obj.mesh3d.cell.Np * obj.mesh3d.K;
% analysis vertical velocity
cellId2 = 2... |
function [J, grad] = linearRegCostFunction(X, y, theta, lambda)
m = size(X, 1);
J = ((X * theta - y)' * (X * theta - y)) / (2*m) + lambda * (theta(2:end, 1)' * theta(2:end, 1)) / (2*m);
grad = (sum(repmat(X * theta - y, 1, size(X, 2)) .* X)/m)';
grad(2:end) = grad(2:end) + lambda * theta(2:end) / m;
end |
function [ dataCost ] = computeDataCost( I, tau )
% dataCost(m, n, i) is the cost for assignning label i to pixel (m, n)
[h, w, ~] = size(I);
nLevels = max(I(:));
dataCost = zeros([h, w, nLevels+1]);
for i=0:nLevels
dataCost(:, :, i+1) = 0;
end
end
|
cfg();
global bects_default;
addpath(genpath(bects_default.bectsnetworkstoolbox))
addpath(genpath(bects_default.fcnetworkinference))
addpath(genpath(bects_default.chronuxtoolbox))
addpath(genpath(bects_default.mgh))
DATAPATH = bects_default.datapath;
OUTDATAPATH = [bects_default.outdatapathpwr 'test/'];
mkdir(... |
function dim3 = label_slice(dim3)
% using block-slice sampling scheme to do the sampling
se_Labels = dim3.seLabel; % data's sender's label
re_Labels = dim3.reLabel; % data's receiver's label
dataNum = dim3.dataNum; % data number
numClass = dim3.numClass; % cluster number
indexLabel = dim3.indexLabel;
alphas = di... |
function ret=getSMuRFenv(var)
ret=getenv(var);
if isempty(ret)
error(['ERROR! environmental variable ',var,' not defined!']);
end
end |
function [ to_be_summed_vector ] = Get_To_Be_Summed( binary_num1,binary_num2 )
%this function returns all the partial sums in multiplying
to_be_summed_vector=[];
for i=1:length(binary_num2)
if binary_num2(i) == '1'
to_be_summed_vector=[binary_num1;to_be_summed_vector ];
else
zeros_vector = num2s... |
clear
clc
% close all
% load results/simulation1/detectorCounts_z0mm.mat
load 'C:\Users\Asier Marcos\Downloads\testData\testData/data2fluoro.mat'
% load results/detectorCounts_z0mm.mat
% load results/simulationData.mat
%Lensmaker
MCvoxelSize=0.1;
%spimVolume=zeros(1000,1000,nzplanes);
nzplanes=1;
zPlanesmm=0;
%phot... |
function Cparams = FastBoostingAlgBis(FData,NFData,FTData,T,m,n)
betas = zeros(T,1);
thetas = zeros(T,3);
Cparams.all_ftypes = FTData.all_ftypes;
Cparams.fmat = FTData.fmat;
w = [(1/(2*m)).*ones(m,1);(1/(2*n)).*ones(n,1)];
y = [zeros(m,1);ones(n,1)];
ii_ims = [NFData.ii_ims(1:m,:);FData.ii_ims(1:n,:)];
muc = zeros(2,s... |
function [rs] = config_optimdrivebounds( upper, gauss )
rs = nan(1,28);
if( upper )
% 1: sumIB /in [0,1]
rs(1) = 1;
% 2: sum_contribution /in [0,1]
rs(2) = 1;
% 3: symIB /in [0,1]
rs(3) = 1;
% 4: sym contr /in [0,1]
rs(4) = 1;
% 5: e... |
% Decode the datas
file_str=['parameters', modulation_type,nr_carriers,coding '.mat'];
load(file_str)
nr_OFDM_symbols = floor((nr_data_bits/rate-1)/(nr_used_car*nr_bits_x_symbol))+1;
tic
load('rx_data')
plotspectrum(rx_data);
[t_samp,phi_hat,gain_pilot_0, theta_est, sigma_sqr_noise_est]=sync_catch_channel(rx_dat... |
function [ A, b ] = BTenvelope_for_sin( indices, varbounds, dims, shifts )
%returns sparse matrix and structure with vectors of lower and upper bounds
%for linear envelopes of sine function. Each envelope is represented as
%y=ax+b, l<b<u
%initialize output structure
b=struct('l',zeros(dims.nrows,1),'u',zeros... |
function z=preproc_anthesia(z)
% idx=subsrefDimInfo(z.di,'dim','ch','idx',[z.di(n2d(z.di,'ch')).extra.iseeg]);
% % % sub-set down to 6 channels
% % z=jf_retain(z,'dim','ch','vals',{'C3' 'C4' 'Cz' 'CP3' 'CP4' 'CPz'});
% z=jf_linDetrend(z,'dim','time','subIdx',idx); % remove slow drifts -- and make fftfilter work
% ... |
% Run time of Program is 78 sec on windows 10 system with i5 processor
clc
close all
clear all
tic;
%% added
% RRMSE without using reconstruction is 0.2923
load('../data/assignmentImageReconstructionPhantom');
fig = figure;set(gcf, 'Position', get(0,'Screensize'));
imshow(mat2gray(abs(imageNoiseless)));
t... |
%% MULTIFRAME MOTION COUPLING FOR VIDEO SUPER RESOLUTION
%
%
% Be sure to initialize the submodules and to compile them
% following their instructions
clearvars;
%% Data properties
dataFolder = 'data/video_scenes/';
flowFolder = 'data/flow_scenes/';
occFolder = 'data/occlusion_scenes/';
datasetName = 'bandage_1_... |
fid = fopen('/media/sophie/db554c18-e3eb-41e2-afad-7de1c92bf4a5/paper_dataset_lists.txt');
file = fgetl(fid);
while ischar(file)
file
D=MRIread(file);
Masks=D.vol;
Sm=size(Masks);
Masks2=zeros(Sm(1),Sm(2),Sm(3),87);
parfor j=1:87
Masks2(:,:,:,j)=(Masks==j);
j
end
out... |
function[ind] = ind_btw_nodes(p,q,sized)
%IND_BTW_NODES - takes two nodes at points p and q and finds a set of indices
%that run between them.
%
len= max(1,sqrt(sum( (p-q).^2 )));
x = 0:(1/len):1;
P = round((1-x')*p + x'*q);
ind= sub2ind(sized,P(:,3),P(:,2),P(:,1));
1;
|
function build_dir(mccDIM)
% for feature
if ~exist('feature','dir')
system(['mkdir feature']);
end
if ~exist('feature\sp_data','dir')
system(['mkdir feature\sp_data']);
end
if ~exist('feature\ap_data','dir')
system(['mkdir feature\ap_data']);
end
if ~exist('feature\f0_d... |
% the coo implementation of expander matrix
% Notes by Jared Tanner:
% A somewhat better implementation would be to use sparse matrix format such as coo,
% and also not to regenerate the random permutation for each column. It is preferable to
% generate the matrix as in the attached, which generates a random permutat... |
function myPATHs = get_myPATHs()
%% PATH definitions
% Get current computer name
computer_name = char(java.net.InetAddress.getLocalHost.getHostName);
switch(computer_name)
case 'XC-OPTIPLEX9020'
BASE_PATH = 'C:\Users\xyche\Documents\MATLAB\APET_matlab';
case 'xinyi-OptiPlex-7060'
BASE_PATH = '/... |
function r = plus(a, b)
%
% PLUS - Return a functor representing the sum of two functors a
% and b.
%
r = Func('sum',a,b);
|
% Acquire saved PCA data.
% Get resource path
res_path = get_res_path();
% Define matrix resource path
data_path = strjoin({res_path 'pca.mat'}, filesep);
% Load data and exit
load(data_path);
% Plot AAT eigenvalues
S_eig_val_col = sum(S_eig_val, 2);
close all;
figure('position', [0 0 1280 800]);
plot(1:length(S_e... |
function Y = abs(X)
% Absolute value.
% ABS(X) is the absolute value of the elements of X. When
% X is complex, ABS(X) is the complex modulus (magnitude) of
% the elements of X.
% Convert inputs to SymExpression
% X = SymExpression(X);
% construct the operation string
... |
function [subj] = raicar_prepareShow (subj, imagePerRow)
%
% function [subj] = raicar_prepareShow (subj, imagePerRow)
%
% Author: Zhi Yang
% Version: 2.0
% Last change: July 18, 2007
%
% Purpose:
% prepare the result to show. transform the maps and anatomy image into mosaic format,
% if the anatomy imag... |
load training_data
%% initialize parameters for the neural network
input_layer_size = size(training_data,2);
output_layer_size = 10;
layer_size = [input_layer_size,2,10,output_layer_size];
theta = dnnRandInitializeWeights(layer_size);
[W,b] = dnnParamToStack(theta,layer_size);
lambda = 4;
%% gradient check
training_da... |
function [parent_v, nats_v] = nest_meshes( xs_crs, tris_crs, xs_fine, tris_fine) %#codegen
% Nest a finer mesh in a coarser mesh.
%
% [PARENTF, NATS] = NEST_MESHES( XS_CRS, TRIS_CRS, XS_FINE, TRIS_FINE)
% Given a coarse mesh and a fine mesh, determine a nesting of the finer
% mesh in the coarse mesh. Each face (a... |
function CC_aux_update_gui(varargin)
handles2=varargin{1};
handles=guidata(handles2.figure1);
handles2=guidata(handles2.figure2);
spikeData=handles.spikeData;
spikeMatrix=handles.spikeMatrix;
T=spikeMatrix(:,2);
ClusterAllocation=handles.ClusterAllocation;
cheetahColors=handles.cheetahColors;
cluster_nr1... |
clear, clc
k = 8.617e-5; %boltzman constant eVK^-1
hc = 1.23984193; %eVĚ?m
c = 3e8% m/s
T = 6000 % K
lamda = (0:.001:3); %generates wavelenth |
function [samples, stats, structArray] = matbugs(dataStruct, bugsModel, varargin)
% MATBUGS a Matlab interface for WinBugs, similar to R2WinBUGS
% [samples, stats] = matbugs(dataStruct, bugsModelFileName, ...)
%
% This generates a file called 'script.txt' in the directory where
% winbugs14.exe is kept (so you must hav... |
function run_meaned(measure_type, varargin)
% RUN_MEANED -- Construct and save an average of a complete signal
% measure, as specified in the config file.
%
% run_meaned( measure_type ) constructs the average of
% the specified `measure_type`. `measure_type` must exist in the .h5
% file under a /comp... |
function s = sigmoid(z)
s = z/sqrt(1 + z^2);
end |
function [ nc ] = assignementKMeans( listPts,centres )
X=listPts;
Y=centres;
%Calcul de la Matrice des distance D(i,j)=distance(X(i),C(j))
D = sum(X.^2,2)*ones(1,size(Y,1)) + ones(size(X,1),1)*sum( Y.^2, 2 )' - 2.*X*Y';
[ row_min, row_argmin ] = min( D, [], 2 );
%On r�cup�re les index des centres les plus... |
function [S,i]=SecondOrderBalancedSequence(repetition,start_condition)
%[S,i]=SecondOrderBalancedSequence(tItem,repetition,start_condition)
%
% Generates a so-called t1r1 sequence, see Aguirre for fMRI applications.
% These sequences are balanced for second-order transitions.
% The length of repetition determine... |
% pseudo inverse computation
function J_pinv = PseudoInv(jac)
[U,S,V] = svd(jac);
for i = 1:min(size(jac, 1), size(jac, 2))
if S(i,i) ~= 0
S(i,i) = 1 / S(i,i);
end
end
J_pinv = V * S' * U';
end |
function [eersteRijvector,tweedeRijvector,derdeRijvector] = opdracht_9(Matrix)
eersteRijvector=Matrix(1,:);
tweedeRijvector=Matrix(2,:);
derdeRijvector= Matrix(3,:);
end |
load('speech_data.mat')
cfg = [];
cfg.toilim = [-0.26 -0.19];
for i=1:length(data_noCh)
data_conv{i,1} = ft_redefinetrial(cfg, data_conv{i,1});
data_noCh{i,1} = ft_redefinetrial(cfg, data_noCh{i,1});
end
%%
dataC = ft_appenddata([], data_conv{:});
dataN = ft_appenddata([], data_noCh{:});
% Freqanalysis fo... |
function labels = run_ICL(version, images, psds, autocorrs)
%% check inputs
if any(strcmpi(version, {[], 'default'}))
version = '';
elseif any(strcmpi(version, 'lite'))
version = '_lite';
elseif any(strcmpi(version, 'beta'))
version = '_beta';
else
error(['Invalid network version choice. '...
... |
function [rfn, afn, zfn, dfn, sfn, efn, wfn, deltafn] = anglefns(pos1, pos2, duration)
global BASE_HEIGHT HUMERUS ULNA HAND;
rfn = @(t) (pos2(1)-pos1(1))*t/duration + pos1(1);
afn = @(t) (pos2(2)-pos1(2))*t/duration + pos1(2);
zfn = @(t) (pos2(3)-pos1(3))*t/duration + pos1(3);
dfn = @(t) (pos2(4)-po... |
%% try 702d24, 0b5a2e
%sid = input('what is the subject ID? ','s');
close all;clear all;clc
setup_environment
saveIt = 0;
delayDelivery = 14; % 14 samp delay between trigger stim and delivery approximately @ 24404 Hz
%for sid = {'d5cd5','702d24','0b5a2e','0b5a2ePlayback','ecb43e','9ab7ab'}
for sid = {'0b5a2e'}
si... |
function [PlotVar1DMaps, PlotVarDecoder, PlotVarPop, PlotVarBehavior] = DefinePlotVariable
PlotVar1DMaps = Tstructure('PlotVar1DMaps');
PlotVar1DMaps.addprop('Shanknum');
PlotVar1DMaps.Shanknum = [0:7 0];
PlotVar1DMaps.addprop('Shanksuffix');
PlotVar1DMaps.Shanksuffix = {'CA1','CA1','CA1','CA1','CA1','CA1','CA1','CA1',... |
function result = patternSearch(objFnc, numVars, lowerLimits, upperLimits, options)
%PATTERNSEARCH Constrained Pattern Search algorithm
%
%Input values:
% objFnc - The objective's function handle
% numVars - Number of variables of the problem
% lowerLimits - The variables' lower bound
% up... |
function [a,F] = runge_kutta_core(a,F,h,flag) %a:初期点 h;刻み幅 flag:false(片側)/true(全域) F:解
d = length(a);
k = zeros(d-1,4); %holds function F-vector evaluations
alpha = [0;1/2;1/2;1];
beta = [0,0,0,0;
1/2,0,0,0;
0,1/2,0,0;
0,0,1,0];
gamma = [1/6;1/3;1/3;1/6];
for i = 1:4
b = a + a... |
function [ SNAPfNW weigM BasisS zSTRESSES]=SnapMatrixFINTcomp(BasisS,BBfRI,...
weigM,nstrain,SingValStr)
%dbstop('5')
if nargin == 0
load('tmp3.mat') %
end
zSTRESSES = [] ;
%
nmodesU = size(BBfRI,2) ;
nmodesS = size(BasisS,2) ;
% Singular values for elastic/inelastic
%[SSd,SS] =RetrieveSingV(NAME_SAVE_B... |
function stride_average = strideAverage(trial, data)
% find average of each input signal with respect to each of the legs
stride_average = zeros([2 size(data)]);
stride = trial.metrics.leg_stride;
for s = 1:max(max(stride))
stride_average(1,:,stride(1,:) == s) = mean(data(:,stride(1,:)==s),2);
stride_aver... |
function [xs, betas, phis, regs] = reconPwlsApproxPathSeeking( y, w, geom, pfun, delta, psOS, optOS, ...
img0, img1, beta0, beta1, dv0, updateRate, noFrames, numOptItn )
% Penalized-Weight-Least-Squares recosntruction for single energy sinograms
% using Nonuniform SQS algorithm
% input:
% y - log sinogr... |
% Processamento dos dados dos paths x e y
% com o espectro rotatorio
close all
xy = load('xy.txt');
dt = 1./30.0;
% x = diff(xy(500:1500,1));
% y = diff(xy(500:1500,2));
x = xy(500:1500,1);
y = xy(500:1500,2);
x_low_freq = lanczos2(x, dt, 2)
y_low_freq = lanczos2(y, dt, 2)
x = x - x_low_freq
y = y - y_low_freq
... |
function [mediaVetorCalculado, mediaGroundTruth, mediaErroAbsoluto, mediaAcuracia, tabelaEstatisticas] = calculatesStatistics( groundTruthVideo, vectorDifferentObjects )
% tabelaEstatisticas = [algo - GT - acertopercentual - c1 - c2]
% Detailed explanation goes here
erroAbsoluto = abs(vectorDifferentObjects - ground... |
clc
clear
addpath( genpath( '.' ) );
foldername = fileparts( mfilename( 'fullpath' ) );
% methodName = 'KCVDCA';
videoFiles = dir(fullfile(foldername, 'data', 'input'));
run('./SGAFsal.p');
|
function [OAL DoF] = AMIGO_Chi2LevelofAcceptance(alpha,ndata,npar)
% AMIGO_Chi2LevelofAcceptance(alpha,ndata,npar) calculates the Chi2 objective function value limit
% that would not be rejected on the significance level of alpha.
fprintf('ndata: %d\n', ndata);
fprintf('nestpar: %d\n', npar);
DoF = ndata - npar;
fp... |
% Group Hard Iterative Thresholding Algorithm on Lorenz system. Test 5 data
% sets.
% Output: the probability of recovering correct terms and the relative error ranges
%
% Note: The $\ell_0$-model is the group hard-iterative thresholding algorithm
% applied to only one data set at a time.
% Copyright: Hayden Schaeffer... |
%% 11/05/2021
% Script for EC and REA calculations at Ru de la Loge for summer camapign
% v0 Clément
clear all;
close all;
set(0, 'defaultFigureUnits', 'normalized', 'defaultFigurePosition', [0 0 1 1]);
set(0,'DefaultFigureVisible','on')
Param = load_parameters; % to define constant parameters
%% I... |
function [f,q] = fitpixelsizeanddistance(lam,pix,dist,Energy)
% function f = fitpixelsizeanddistance(lam,pix,dist,Energy)
%
%
% Created 11.10.2007 UV
s = lam(1); % pixel size
d0 = lam(2); % Distance error
hc = 2*pi*1973.269601;
q = 4*pi/hc*sin(0.5*atan(s*pix./(d0 + dist))).*Energy;
f = sum((q - 2*pi/58.43*ones(size... |
% read_snesim : Read SNESIM (v10) parameter file
%
% S = read_snesim_10(filename,read_data);
% filename [string]: snesim parameter file (def:'snesim.par')
% read_data [integer]: optionally read input/output data files
% read_data=0; % read no data
% read_data=1; % read output from visim
% ... |
function [xp, yp] = find_target_patch(I,M,m)
%FIND_TARGET_PATCH finds the next target patch
%
% NOTE: ASSUMES MAX INTENSITY IS 255
%
% Parameters
% ----------
% I : 2D array
% A grayscale image with missing pixels as -1.
% M : 2D array
% A binary image the same size as I with 0 for missi... |
addpath('./class_methods');
addpath('./utils');
settings.bmark_path = '../Benchmarks';
% bmarks: wiki, pascal_sentence, nus_wide
settings.bmarks = {'wiki','pascal_sentence','nus_wide'};
% methods: Class, deep_Class
settings.iterN = 5;
test_methods = {'Class','deep_Class'};
results = struct;
if ismember('Class',test_m... |
clear all;
mesh = lect_mesh('../Meshs/dam1');
mesh = face_number(mesh);
% Initialisation des variables de temps
T = 200;
dt = 0.4; % Pour dam0
dt = 0.1; % Pour dam1
%dt = 0.05; % Pour dam2
N_pt = floor(T/dt);
V_t = init_sw(mesh);
% ---- Variables pour la visualisation
x = mesh.som_coo(:,1);
y = mesh.som_c... |
%% CREATE HYPERELLIPSOIDS/CUBOIDS FOR ALL CONSTRAINTS
% AUTHOR : G. PAVAN BHARADWAJ
% REFER TO LICENSE.pdf ON REPOSITORY FOR USAGE RESTRICTIONS
% clear all;
clc; clearvars;close all; yalmip('clear');cvx_clear;
%% INPUTS
% SURROGATE NAME
surr = 'hanson_b';
% SHAPE (cuboid, ellipsoid, both)
shape = 'both';
save_outp... |
function this = plotStates(this)
n = length(this.states);
r = sqrt(n);
figure;
for i = 1:n
subplot(floor(r), ceil(r), i);
state = this.states(i);
t = this.time;
x = state.val;
plot(t, x, 'r');
end |
function [ value ] = calculatePi( n )
s = 0;
for i = 1:n
s = s + (1 / (n^2));
end
value = sqrt(6 * s);
end |
%% TEAM: UN-UF-GERS-JEA
% Cooperation: Universidad Nacional de Colombia, University of Florida, GERS USA and JEA
%% TEAM MEMBERS:
% Pedro Garcia, pjgarciag@unal.edu.co, PhD Student at UN
% Diego Rodriguez, diego.rodriguez@gers.com.co, International Studies Manager at GERS USA and PhD Student at UN
% David Alvarez, dl... |
function counts_sec = CountSecondary(SimuPop)
% counts_sec = CountSecondary(SimuPop)
%
% Counts secondary infections of primary infector. Checks whether primary
% infector is in clinic for at least 25 more days and infection occurred 25
% days before end of simulation.
chrono = SummarizeInfections(SimuPop);
if isempt... |
clear;clc;
clear;clc
addpath ..
% %% Problem 1.1
% syms lw ls m g real
%
% Bc1 = [0;1;0;0;0;0];
% Bc2 = [0;1;0;0;0;0];
% Bc3 = [0;1;0;0;0;0];
% Bc4 = [0;1;0;0;0;0];
%
% g_oc1 = [1 0 0 0;
% 0 1 0 -1;
% 0 0 1 0;
% 0 0 0 1];
%
% g_oc2 = [0 1 0 -1
% -1 0 0 0;
% 0 0 1 0;
% 0 0 0 1];
%
% g_oc3 = ... |
classdef Test_MoyamoyaPaper < matlab.unittest.TestCase
%% TEST_MOYAMOYAPAPER
% Usage: >> results = run(mlanalysis_unittest.Test_MoyamoyaPaper)
% >> result = run(mlanalysis_unittest.Test_MoyamoyaPaper, 'test_dt')
% See also: file:///Applications/Developer/MATLAB_R2014b.app/help/matlab/matlab-unit... |
function makeTuples( obj, key )
tuple = key;
if strcmp(fetch1(Scans(key),'scan_prog'),'MPScan')
%% MPScan
% Load movie information
tpr = tpReader(Scans(key));
% Align movies
if ~isAligned(tpr)
% return
display('Aligning movie');
close(tpr);
fileNameCore... |
% Ayelet Zalic March 2018
%%% Shutdown script for He3 system
global smdata;
%% Retrieve instrument indices and close connections to machines
k1ind = sminstlookup('Keithley 1');
k2ind = sminstlookup('Keithley 2');
dmm1ind = sminstlookup('Dmm 1');
dmm2ind = sminstlookup('Dmm 2');
dmm3ind = sminstlookup('Dmm 3');
l1... |
function val = interP(b00,b30,b02,b32,u,v)
val = (1-u)*(1-v)*b00+u*(1-v)*b30+(1-u)*v*b02+u*v*b32;
end
|
function [show] = process_show( show, config )
%process_show load the show, get cosine matrix, calculate cost matrices
% can pass in a show index and we load it, or just the show
% itself which will save time loading it
if isnumeric( show )
show = get_show(show, config);
end
% execute a given show, r... |
function [im_plotted, spectrum_plotted] = plot_spectrum(im,mode, isShowSpectrum)
%PLOT_SPECTRUM Summary of this function goes here
% Detailed explanation goes here
% mode = 0, no padding, no windowing, directly plot spectrum
% mode = 1, add fadding pading, then plot spectrum and crop
% mode = 2, add pure hamming wind... |
function [mz,logDS] = xxxTranNormScal(man,mz,sp)
% xxxNormTranScal - Perform the generic norm/tran/scal procedures
%
% man - the structure to the side menu
% mz - mz vector of the data
% sp - the actual data in NON-IMAGE format
%
% xxx becomes the default prefix for all 'common' files that are relevant
% to both desi... |
clear all
close all
clc
for alpha_rudder = -pi/4:pi/500:pi/4;
c_rudder_lift_appr = 1.9*(1-exp(-abs(alpha_rudder)*9))-2.4*abs(alpha_rudder);
if abs(alpha_rudder) <= 2*pi/180 % Hysteresis around "dead into the wind"
c_rudder_lift = 0;
elseif abs(alpha_rudder) <= ... |
I = imread('coins.png');
I = im2double(I);
I1 = imnoise(I,'gaussian',0.02);
I2 = imnoise(I1,'salt & pepper');
figure
subplot(221)
imshow(I)
subplot(222)
imshow(I1)
subplot(223)
imshow(I2)
fun1 =@(x) mean(x(:))
fun2 =@(x) median(x(:))
mean1 = nlfilter(I2,[3,3],fun1);
mean2 = nlfilter(I2,[5,5],fun1);
median1 = nlfilte... |
function [] = fun2( maxVal , maxY,I)
bw0 = im2bw(I,0.99);
se = strel('rectangle' , [30 30]);
bw0=~bw0;
myerodedimg = imerode(bw0, se);
myerodedimg = imdilate(myerodedimg,se);
[L,num]=bwlabel(myerodedimg);
if num<3
display('101');
bw0 = im2bw(I,0.8);
se=strel('rectangle' , [30 30]);
bw0=~bw0;
myerodedimg = ime... |
% ampModulation.m
% Dan Hirlinger
% 10/14/2020
clear; clc;
% tremolo
[x,Fs] = audioread('AcGtr.wav');
N = length(x);
Ts = 1/Fs;
% synthesize LFO
t = [0:N-1].' * Ts;
f = 10; % Hz [.1:10]
depth = 70; % pct range [0:100]
A = depth/200;
dc = 1-A;
lfo = A * sin(2*pi*f*t) + dc;
y = zeros(N,1);
for n = 1:N
y(n,1) = x... |
function [fx, fy, fz, tx, ty, tz] = ott_calc_force(pos, rot_matrix)
% Calculate optical forces and torques given beam-shape coefficients
% and T matrix of particle.
% Inputs:
% x, y, z : coordinates of particle relative to beam
% r11, ..., r33 : elements of rotation matrix describing particle
% orientati... |
function [xy,uv_vec] = Compute_Wuv(obj,ann,res)
%Compute_Wuv Summary of this function goes here
% Detailed explanation goes here
if exist('Wuv.mexw64','file')
[xy,uv_vec,e] = Wuv(ann(:,1),ann(:,2),res,obj.tri,obj.c_alphas, ...
obj.c_betas,obj.c_gammas,obj.c_uv, obj.rf.n_face_pixels1, ...
... |
function [S, e, t, x,U] = nearest_real_eigenvalues(M, maxiter, timemax)
% Computes the nearest matrix with real eigenvalues to a real matrix A (or at least a local minimum)
%
% [B, e, t, Q, U] = nearest_real_eigenvalues(A, maxiter, timemax)
%
% B = arg min_{X has real eigenvalues} ||X-A||_F
%
% B has Schur form B = Q... |
% function MAC = cal_MAC (vec1,vec2)
function mAc=cal_MAC(Phi1,Phi2)
% This function calculates mac between phi1 and phi2
mAc= (abs(Phi1'*Phi2))^2/((Phi1'*Phi1)*(Phi2'*Phi2));
end |
function [frame_left, frame_right] = load_frames_from_paths(path_left, path_right)
frame_left = imread(path_left);
frame_right = imread(path_right);
end |
function [w,a,E] = LS_solve( y, X, Zc, Tau )
[N,D] = size(X);
[N,K] = size(Zc);
DK = D*K;
E = zeros(N,DK);
for i = 1:N
rank_one_mat = X(i,:)'*Zc(i,:);
E(i,:) = rank_one_mat(:)';
end
w = inv(E'*E + Tau*eye(DK) )*E'*y; %DK*1
a = (y-E*w);
|
classdef BCSolubilityUtil < handle
properties
molalityNaCl
x_NaCl
pitzerConstantsMu_ChemPotential_CH4Liquid
pitzerConstantsLambda_2ndOrderInteraction_CH4Na
pitzerConstantsXi_3rdOrderInteraction_CH4NaCl
duanLKConstants
shib... |
function fig_handle=generatePredictedScatterPlot(xt_data,diff_atr,c_indx,s_indx)
% Function to generate scatter plot between predicted and measured atrophy
ai=sort([c_indx,s_indx]);
fig_handle=figure('DefaultAxesFontSize',24,'color','w')
scatter(diff_atr(ai)',xt_data(ai),'r*','LineWidth',3);
lsline
hold on
scatter(diff... |
function d = task4
d = zeros(10,10);
d(1:2:10, 1:2:10)=1;
d(2:2:10, 2:2:10)=1;
endfunction
|
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%% Laboratorijska vaja %%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% 4. naloga - ploscni elektrodi %%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%dolzina stranice a (v x-smeri) v m:
a=2e-2;
%dolzina stranice b (v y-smeri) v m:
b=8e-2;
%razdalja med ploscama d v m:
d=... |
%Test_type: Callback for Test Type popupmenu
val = get(H.test_type,'Value');
test_type = get(H.test_type,'String');
stim_val = get(H.test_type,'Value');
XStimParams.test_type = deblank(test_type(stim_val,:));
% 'String', ['None|Search for Cells|ABL|ITD|ILD|FREQ|McSpace|Mc2Source|Space|' ...
%'Space2|Space... |
function prefix = getPrefix(obj)
% GETPREFIX returns the prefix of the a CloudBlobDirectory
% Copyright 2016 The MathWorks, Inc.
% Create a logger object
% logObj = Logger.getLogger();
prefix = char(obj.Handle.getPrefix());
end
|
function EXP = BatchBayesDecoderParameters(EXP, DIRS)
model = 'Data';%'Vision';%'Data';%'Local Distance';%'Global Distance';%
if strcmp(model,'Data')
latencylist = [];
else
latencylist = 300;%[0 200 400 600 800 1000 1200];
end
Nperm_cellprop = 2;
ParamsMeanErr = cell(1,max(1,numel(latencylist)));
ParamsCorr = c... |
function Inter2FileLR(node_names, inter, file_name, lnodes, rnodes)
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
if(~isempty(file_name))
fid = fopen(file_name, 'w+');
else
fid = 1;
end
n_lnode = length(lnodes);
n_rnode = length(rnodes);
% Write node names
fprintf(fid, ' ... |
%% This function Generates and Compares the Multipath Errror Envelopes for
%% GPS, E1B & DET
% Created by Matthew Alcock and Dr Paul Blunt
%% Clean the environment ==================================================
close all;clear all;
%% Load Tracking Results ==================================================
% ... |
function [q,cnt] = romberg(a,b,tol)
n = 1;
h = b-a;
fv = [f(a);f(b)];
est(1,1) = 0.5 * h * (fv(1) + fv(2));
cnt = 2;
err = 100*abs(tol);
k = 0;
while err > tol && k < 10
k = k+1;
n = 2*n;
h = h/2;
fvnew = zeros(n+1,1);
fvnew(1:2:n+1) = fv(1:n/2 + 1);
for i = 2:2:n
fvnew(i) = f(... |
%%%%% LAB 5 DSP Parte 3
close all;clear; clc
load test_training_signals.mat
%%% Parte 2.2
%PARÁMETROS
UMBRAL_RMS0 = (0.0120794 + 0.00765744)/2;
UMBRAL_RMS1 = (0.0685488 + 0.0543576)/2;
P = 15; % Número de polos en modelo AR
% Importación de señal de prueba
signal_no_pad = test_signal;
signal = test_signal;... |
%
% ECE 278A Project
% Efficient graph-based segmentation
%
%
%
% Steven Munn
% from https://github.com/stevenjlm/segmentor
function adj = adj_mat (xDim,yDim,kConnections)
if kConnections==8
% Make the first diagonal vector for horizontal connections
horizont... |
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