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clc;
clear;
%Problem 1(i)
n = input('Input Dimention \n');
wH = zeros(n);
wL = wH;
for i=1:n
for j=1:n
if i==ceil(n/2)
wH(i,j) = 1;
end
end
end
for i=1:n
for j=1:n
if(i==j)
wL(i,j)=1;
end
end
end
wV = rot90(wH);
wR = rot90(wL);
img =... |
% calibrateGamma Calibrate Debye objects's gamma function
%
% This method calibrates the Debye object's gamma parameters
%
% >> object = evaluate(object,rhoData,gammaData);
%
% where rhoData, gammaData is the data set to fit to.
% Bounds on the parameters can be specified with arrays of p_lower and
% p_upper as
%
... |
function w2s2 = disp_GH_all_Ei1400(fix_mag_ff)
Emax = 400;
dE = 5;
Dqh = [0.85,1.15];
Dqk = [0.85,1.15];
pr = projection([1,0,0],[0,1,0]);
dat = fullfile(pwd,'sqw','data','Fe_ei1371_base.sqw');
s_1 = symop([1,0,0], [0,0,1], [1,0,0]);
s_2 = symop([1,0,0], 90, [1,0,0]);
s_3 = symop([1,0,0], -90, [1,0,0]);
w2ss = cut_s... |
%{
EC503 - Learning from Data
March 2018
Word Embeddings De-biasing
Function for soft bias method
Worked on by: Frank Tranghese
Requires CVX to be installed
%}
function [Wt] = softDebias(W,g,N)
% *** INPUTS ***
% W - entire word embedding set N x D
% g - gender direction... |
function [ACD_N_1_0,ACD_N_2_1,ACD_N_3_2,ACD_N_4_3,ACD_N_5_4,ACD_N_6_5,ACD_N_7_6]=ACD_N(n_e,T_e);
global n_e_data_ACD_N;
global T_e_data_ACD_N;
global Table_ACD_N_1_0;
global Table_ACD_N_2_1;
global Table_ACD_N_3_2;
global Table_ACD_N_4_3;
global Table_ACD_N_5_4;
global Table_ACD_N_6_5;
global Table_ACD_N_7_6... |
% Parameter Estimation and Inverse Problems, 3rd edition, 2018
% by R. Aster, B. Borchers, C. Thurber
%
% L = get_l_rough(n,deg)
%
% returns a 1D differentiating matrix operating on a series with n points.
%
% INPUT
% n - the number of model points
% deg - the order of the derivative to approximate
%
% OUTPUT
% ... |
function [corr_mat,srcind,trgind,srcecc,trgecc] = make_model_corr(src_area,trg_area,areas_srctemplate,ecc_srctemplate,pol_srctemplate)
% Creates a cross-correlation matrix for retinotopic models
%
% Usage:
% [corr_mat,srcind,trgind,srcecc,trgecc] = make_model_corr(src_area,trg_area,areas_srctemplate,ecc_srctemplat... |
function F = EvaluationMetrics
F.Brightness = @Brightness;
F.Sharpness = @Sharpness;
F.Blur = @Blur;
F.Focus = @Focus;
F.CompressVideo = @CompressVideo;
F.MDE = @MDE;
F.MUSE = @MUSE;
F.JerkinessMatlab = @JerkinessMatlab;
F.DivisiveNormalization = @DivisiveNormalization;
... |
function [ pupil,mask,tip,tilt] = pupilOPL(rays,rmttp)
%pupilOPL pupilOPL(rays) returns cumulative optical path difference
% rmttp is whether to remove the Tip/Tilt/Piston (defaults to false)
% pupil = full(sparse(rays.map(:,1),rays.map(:,2),rays.opl(:)));
% mask = full(sparse(rays.map(:,1),rays.map(:,2),true));
... |
clear all
close all
clc
num = 99;
%%
kx = 3; ky = 3;
x = linspace(0,pi/2,num);
y = x;
[xx yy] = meshgrid(x,y);
f = sin(kx * xx) .* sin(ky * yy)
integral2 = simpson2d(f,x(1),x(end),y(1),y(end))
f1 = sin(kx * x);
integral1 = simpson1d(f1,x(1),x(end))
%%
clear all
close all
clc
num = 9;
xMin = 0;
xMax = 2;
yMin ... |
function filteredFile = filteringData(filepath, filename, PathToSaveFile)
close all;
filepath
filename
PathToSaveFile
Accelerometerjalllal = importfilecsvtomatrix(filepath);
subplot(511);
plot(Accelerometerjalllal);
subplot(512);
[B,A] = butter(2,0.05);
plot(filter(B,A,Accelerometerjalllal(:,1:3)));
hold on;... |
function smoothed_data=smooth_ROI(ROI_path,n,varargin)
% smoothed_data=smooth_ROI(ROI_path,n_smooth,varargin)
%
% takes a ROI structure input and returns a smoothed and checked version
% of the ROI on the full cortical surface (for visualization purposes)
% varargin may include ROI indices to visualize
R=load(ROI_path... |
clear all ; close all ;
responders = {'alexandra3','fabio','gab','gabriella','genevieve','gina','jeremie','julie','katrine','marie','maxime','mingham','po','russell','suhan2','tegan2'} ;
stims = {'S 11','S 12','S 13','S 14','S 15','S 16'} ;
% get the top components (hand picked)
for r=16%:length(responders)
cd... |
function Z = projectData(X, U, K)
%PROJECTDATA Computes the reduced data representation when projecting only
%on to the top k eigenvectors
%
Z = zeros(size(X, 1), K);
U_reduce = U(:,1:K);
Z = X*U_reduce;
% =============================================================
end
|
function J = imPad( I, pad, type )
% Pad an image along its four boundaries.
%
% Similar to Matlab's padarray, with the following differences:
% (1) limited to padding along height and width
% (2) input format allows for separate padding along each dimension
% (3) padding values may be negative, in which case perfor... |
%
% Cette fonction renvoie TRUE => la méthode explicite est stable pour
% les parametres a,b,D,h,k
% Une valeur de retour FALSE ne signifie pas que la methode explicite
% sera instable.
%
function [ is_stable ] = is_stable_expl( a,b,D,h,k )
lambda_a = a*k/h;
lambda_b = b*k;
lambda_d = D*k/h^2;
if... |
%% Control Systems Engineering
% Mass-Spring Damper System
%% Initial Conditions
m_1 = 1; % units in Kg
m_2 = 1; % units in Kg
k_1 = 1; % units in N/m changes for other conditions (1,1,0)
k_2 = 1; % units in N/m changes for other conditions (1,1,0)
c_1 = 1; % units in Kg/s changes for other c... |
function varargout = doc_linsol(varargin)
%DOC_LINSOL Get the documentation string for a plugin.
%
% char = DOC_LINSOL(char name)
%
%
%
%
[varargout{1:nargout}] = casadiMEX(840, varargin{:});
end
|
function [niter, xvalue, X] = RegulaFalsi(xl, xu, f, tor)
niter = 0;
xvalue = 0;
f = matlabFunction(f);
X = [xl];
xvalue = (xu*f(xl)-xl*f(xu))/(f(xl)-f(xu));
judge = abs(xvalue-xl);
while(judge>tor)
niter = niter+1;
xl = xvalue;
xvalue = (xu*f(xl)-xl*f(xu))/(f(... |
function docNode=add_contact_pair_FEB(docNode,FEB_struct,disp_opt)
% function docNode=add_contact_pair_FEB(docNode,FEB_struct,disp_opt)
% ------------------------------------------------------------------------
% This function adds FEBio contact definitions the input docNode defining
% an XML file suitable for ge... |
% function total=analyzeWaterDistribution(minSize, maxSize)
% function to load and analyze water distribution in aggregate and by
% region. Makes plots. Also creates shapefile
%% non-function params
clear
minSize=0;
maxSize=1e12; % 1km2
%% params
saveFigs=0;
saveShp=0;
atUCLA=0;
%% directories
if ~i... |
System_parameters;
MSE = gsubtract(out.output_BB,out.output_NN);
max_MSE = max(abs(MSE))
plot(MSE) |
%ax^2 + bx + c = 0
function [root1,root2,root3,root4] = solve(a,b,c)
h = 1;
if(or(abs(a)>10.^150,or(abs(b)>10.^150,abs(c)>10.^150)))
h = 10.^150;
end
root1 = ((-1).*b + h.*sqrt((b./h).^2 - 4.*(a./h).*(c./h)))./(2.*a);
root2 = ((-1).*b - h.*sqrt((b./h).^2 - 4.*(a./h).*(c./h)))./(2.*a);
root... |
%
for i=1:100
fprintf('n=%g\n',i)
tango_command_inout('ANS/SY/CENTRAL','FireSoftEvent');
pause(1)
end
% |
df_min = [ -4, -4, -2.0, -1.0, 0, 1.0, 2.0, 4, 4];
U_min = [-20, -6, -1.5, -1.0, 0, -1.0, -1.5, -6, -20];
df_max = [-10, -5, -5.0, -1.0, 0, 1.0, 5.0, 5, 10];
U_max = [-20, -6, 1.5, 1.5, 0, 1.5, 1.5, -6, -20];
df = [ -10, -8, -6, -4, -2, 0, 2, 4, 8, 10];
U = [58.7, 68.3, 7... |
function h = heaviside(t)
% function h = heaviside(t)
%
% Returns 0 if t<0 and 1 if t>=0
%
% B. Parent 2013-11-28
h = 0.5 * (1 + sign(t));
indices = find( abs(t)<eps );
h(indices) = ones(size(indices));
|
function A=homography2intrinsic(Hbig)
% The intrinsic matrix A is calculated from n homographies.
% Hbig is a 3x3xn matrix of homographies. This file is used by
% calib_zhang_simple, and is based on Zhang's calibration
% technique (see calib_zhang_simple.m)
%
% Assumes the homogeneous coordinate is at the end (i... |
%% Scratch script to generate total coverage plots
%% Written by Hugh Roarty on March 26, 2010
% Modified on March 7, 2017 to plot files that are already concatenated
tic
close all; clear all;
% addpath /home/codaradm/HFR_Progs-2_1_3beta/matlab/general
% addpath /home/codaradm/operational_scripts/totals
% add_subdire... |
function bvp_obj = setup_problem_car(bvp_obj,modelParameters, disc, N)
%INITIALIZE_OPT_CAR Summary of this function goes here
% Detailed explanation goes here
if(strcmp(bvp_obj.type, 'heading') || strcmp(bvp_obj.type, 'parallel') )
[opti_fwd, X_fwd, U_fwd, T_fwd, modelParams_fwd, initStateParams_fwd, finalStatePa... |
function [segmentation, centers] = kmeans_custom(Im_vec, K, L, seed)
% Prepping the cluster centers and setting a threshold
centers = zeros(K, 3);
threshold = 2;
% Fetching centers from image
idx = randperm(size(Im_vec, 1), K);
for i = 1 : K
centers(i, :) = Im_vec(idx(i), :);
end
% Computing the distance from pi... |
close all
clc
clear;
%%
% 读取图像
[filename, pathname] = uigetfile('*.jpg', '读取图片文件'); %选择图片文件
pathfile=fullfile(pathname, filename); %获得图片路径
rgb=imread(pathfile);
rgb=imresize(rgb,[720,960]);
[m,n,z]=size(rgb);
% 灰度转换
if(z>2)
bw=rgb2gray(rgb);
end
%%
% 提取感兴趣区域
xx = Circle_Region_seg( bw );
% [c,r]=... |
function[E]=kp_6bands_Luttinger_Kohn_f(k_list, Dso, g1, g2, g3)
% Calvin Yi-Ping Chao and Shun Lien Chuang
% PHYSICAL REVIEW B VOLUME 46, NUMBER 7, (1992)
% "Spin-orbit-coupling effects on the valence-band structure of strained semiconductor quantum wells"
% Warren James Elder
% PhD thesis: "Semi-empirical mod... |
function r_beeswarm(X,G)
if nargin<2
X=[randn(100,1); 0.2+randn(100,1)];
G=[ones(100,1); 2*ones(100,1)];
end
c=G(randperm(length(G)));
%%
saveR('Data.R','X','G','c')
system([getRscript, ' ', mfilename('fullpath'), '.r']);
imshow('output.tif')
|
function cur_hfil=gchfil
%GCHFIL Get current hdf5-file
%
% cur_hfil=gchfil;
%
%
% Example
% hfile=gchfil;
%
% See also gcdp, gcv
hfig=gcf;
cmsplot_prop=get(hfig,'userdata');
cur_hfil=cmsplot_prop.filename; |
function [ ] = drawPts( img, pts )
hold off
imagesc(img);
colormap gray
hold on
plot(pts(:,1), pts(:,2), 'yo','LineWidth',1)
axis equal
end
|
function [networkActivity, nn] = run_network(adjMat, neuronLabels, isDep, isDiv, taus, kernType, stimulus, iActivityInj, DepletionRate, TauReplenishment)
% RUN_NETWORK creates a network and runs it for a single trial condition
% Input parameters -
% adjMat: Adjacency matrix of connection strengths. Fir... |
function [] = export_EEG_events(EEG)
% save triggers/event info
EEG.EVENTLIST = [];
EEG = pop_creabasiceventlist(EEG,'AlphanumericCleaning','on','BoundaryNumeric',{-99},'BoundaryString',{'boundary'});
el = EEG.EVENTLIST.eventinfo;
elT = struct2table(el);
elT = elT(:,{'item','code','spoint'});
C = cell(size(elT,1),1);... |
function [idx] = Todos_intentos(direcciones)
direcciones = direcciones';
idx.der = [];
idx.arriba_der = [];
idx.arriba = [];
idx.arriba_izq = [];
idx.izq = [];
idx.abajo_izq = [];
idx.abajo = [];
idx.abajo_der = [];
for k = 1:size(direcciones)
if (direcciones(k) == 0)
idx.der(size(... |
function [ah,cobh] = showmatabw(varargin)
% Hilfsroutine zum Visualisieren von Arrays in einer Figure.
%
% Aufruf: showmata(a,b,c,...)
%
% Die Matrizen werden als Images in einer Figure
% dargestellt, wobei die Farbcodierung zur Verbesserung der
% Vergleichbarkeit in allen Achsen identisch ist.
%
% Falls nan (Not a N... |
% Initial Values
finalIndex = 100;
deltaT = 0.1;
Q = eye(3);
F = eye(3);
R = eye(2);
x = cell(finalIndex,1);
x{1} = [1.4 0 pi/8]';
% Calculate A and B matrices
A = cell(finalIndex,1);
B = A;
xRef = zeros(finalIndex,3);
uRef = zeros(finalIndex,2);
%% Determine reference path
syms t y
x_func = cos(t);
y_func = sin(t);
... |
%%Code For One Dimention Heat Diffusion Explicit method
clc
clear all
N=input('Enter Numbber of Grids = ');
dt=0.1;
L=10/1000;
dx=L/(N-1);
alpha=0.25/(2000*1300);
kapa=(alpha*dt)/(dx*dx);
step=1;
x=1:1:N;
%boumdry Conditions
for i=1:N
Tp(i)=30; % Row matrix For Previous Time Step
end
Tp(1)=250;
Tp(N... |
function [f, Jc, Jr] = jacobian_realsense(centers, radii, blocks, model_points, model_indices, block_indices, data_points, settings, fitting_type)
D = settings.D;
num_points = length(model_points);
if strcmp(fitting_type, 'point_to_plane')
f = zeros(num_points, 1);
Jc = zeros(num_points, length(centers) * D)... |
%Demo triangle_th.m performing gray image thresholding
using the Triangle Method.
%The demo reads a RGB image of vegetation against soil background.
%This image is converted to a gray level image
%% Read image RGB image and convert to gray level
%Reads RGB
Ib=imread('coins.png');
%%
[lehisto x]=imhist(Ib);
... |
function varargout = Time_Domain_Calculations(varargin)
% TIME_DOMAIN_CALCULATIONS MATLAB code for Time_Domain_Calculations.fig
% TIME_DOMAIN_CALCULATIONS, by itself, creates a new TIME_DOMAIN_CALCULATIONS or raises the existing
% singleton*.
%
% H = TIME_DOMAIN_CALCULATIONS returns the handle to a new T... |
classdef NeuroEvolutionUP
properties
saveFile = []; visualize = [];
environment = []; environmentProperties = [];
agent0 = []; agent0Properties = [];
agent1 = []; agent1Properties = [];
agent2 = []; agent2Properties = [];
end
properties(Depende... |
close all
clear all
cd('/Users/marcw/DATA/subject0');
d = dir('*.mat');
n = numel(d)
M = struct([]);
for ii = 1:n
fname = d(ii).name
load(fname)
M = [M Q];
end
whos
lat = [M.latency]*1000;
V = [M.velocity];
D = [M.density];
uV = unique(V);
nV = numel(uV);
uD = unique(D);
nD = numel(uD... |
function outseis(outfilename,tr);
%
% function writing an su file;
% function was more or less copied from the outseis.c function
% of SOFI2D (see http://www.gpi.kit.edu/SOFI2D.php for source code of SOFI2D)
%
% Input:
% outfilename : name of the su file
% tr : struct containing the ... |
function [J, grad] = costFunctionReg(theta, X, y, lambda)
%COSTFUNCTIONREG Compute cost and gradient for logistic regression with regularization
% J = COSTFUNCTIONREG(theta, X, y, lambda) computes the cost of using
% theta as the parameter for regularized logistic regression and the
% gradient of the cost w.r.t. ... |
function varargout = pole_zero_filter_design(varargin)
% POLE_ZERO_FILTER_DESIGN MATLAB code for pole_zero_filter_design.fig
% POLE_ZERO_FILTER_DESIGN, by itself, creates a new POLE_ZERO_FILTER_DESIGN or raises the existing
% singleton*.
%
% H = POLE_ZERO_FILTER_DESIGN returns the handle to a new POLE_ZE... |
function [x] = RMSD(input,output)
[r,c]=size(input);
N=r*c;
x=sum((double(input)-double(output)).^2,'all');
x=sqrt(x/N);
return
end
|
%% ESO Design with PX4 Controller with X based rotary wing UAV
% Design of controllers is based on using Anton Erasmus Thesis and notation
addpath(genpath('simulation_setup'));
clear model_parameters;
clear setup_simulation;
%% Constants
setup_simulation;
% model_parameters;
s = tf('s');
%% Angular Rate Plant Dynamic... |
function Exp=HKLExpansion(conMat,Tensors,uvw,Temps,xscreen,yscreen,lsfits,inUVW3)
%CTERun License
%Copyright (c) 2012, The Kriven Research Group. All rights reserved.
%Redistribution and use in source and binary forms, with or without
%modification, are permitted provided that the following conditions are met:
%1.... |
function [H, L] = storeR( F, levelF, o, H, L)
%------------------------------------------------------------------------------
%
% This function stores a two-dimensional gridfunction F into H for
% future extraction. Properties and location are stored in the book-
% keeping matrix L.
% This function is a two-dimensiona... |
function [xout,yout]=boxcar(x,y,n)
%BOXCAR Reduce the number of points in an X,Y data pair by averaging.
% [XB,YB]=BOXCAR(X,Y,N) will return XB,YB containing a factor of N fewer
% points than [X,Y].
x=x(:);
y=y(:);
sz=length(y);
yout=zeros(size(y(1:n:(sz-n+1))));
xout=yout;
for cnt=1:n,
yout=yout+y(cnt:n:(sz+cnt... |
% book : Signals and Systems Laboratory with MATLAB
% authors : Alex Palamides & Anastasia Veloni
%
%
% Problem 2- Frequency Response Graph
%
%
%
% 8w^2+2jw+9
% H(jw)=---------------
% 6(jw)^... |
function [ i, j ] = XYtoIJ(x, y, Xmax, Ymax, R, C)
% compute pixel map coordinates from World cartesian coordinates
% Detailed explanation goes here
% -------->x
% |
% |
% |
%y v
% i=1 is bottom row (y=Ymax)
% j=1 is left column (x=0)
i = round(((y)./Ymax).*(R-1))+1;
j = round((x./Xmax).*(C-1))+1;
end |
function [NV,NI] = uniformly_sample(V,un,varargin)
% UNIFORMLY_SAMPLE Uniformly sample an input curve
%
% NV = uniformly_sample(V,un,'ParameterName',ParameterValue, ...)
%
% Inputs:
% V #V by dim list of ordered input points on an open curve
% un # of samples {100}
% Optional:
% 'Loop' follo... |
% after we hit space, we draw the black chess
function draw_black_chess()
global fig ax has_previous prev_cross black_pos black turn game_mode;
delete(prev_cross);
plot(ax, black_pos(1), black_pos(2), 'ko', 'MarkerFaceColor','k', 'MarkerEdgeColor','k', 'MarkerSize',13);
has_previous = false;
% ... |
% problem 7 code
n = 100;
% Creating A
A = zeros(n);
for i = 1:n
for j = 1:n
A(i,j) = i * n - (n - j);
end
end
b = (1:n)';
% We want the first (n-rank(A)) = 2 components to be zero
% thus we want to find the values of the last 2 columns
B = A(:, n-1:n);
x0 = pinv(B)*b; % last 2 values o... |
%function x=medellhgr(disfil)
function x=medellhgr(disfil)
[dist,mminj,konrod,bb,hy,mz,ks,buntyp,bunref,distlist,staton,masfil,rubrik,detpos,fu]=readdist(disfil);
block=masfil(5:6);
batchfil=['/p4/cm/' block '/div/bunhist/batch-data.txt'];
[eladd,garburn,antal,levyear,enr,buntot,weight,eta,typ,stav]=readbatch(batchfil)... |
close all;
clear;
clc;
load indeks
dataset = hdf5read('food_c101_n1000_r384x384x3.h5', '/images');
dataset = permute(dataset,[4 3 2 1]);
im = zeros(384,384,3);
for idx=1:size(indeks_pengamatan,2)
for chn=1:3
im(:,:,chn) = dataset(indeks_pengamatan(idx),:,:,chn);
end
im = imrotate(uint8(im), 45, 'bi... |
function h = f_plotBarsV(x,grp,rel,labels,err,width)
% - vertical bar graphs
%
% USAGE: h = f_plotBarsV(x,grp,rel,labels,err,width);
%
% x = abundance data (columnwise)
% grp = col vector of integers specifying group membership
% rel = use relative abundance instead of group mean (default = 0)
% labels =... |
nmax = 100:100:100000;
t=0;
a = 0; b=0; c=0;
for i=0:length(nmax)
tic;
a = b+c;
t = t + toc;
end
t = t/length(nmax) |
function [rho_ge_ft,diag_test]=rho_ge_f_HEOM2(N,om_1_rng,sup_op_ge,HL,tol)
% Simplified version, works in exciton basis and assumes no explicit
% vibrations are included
% om_scale = typical frequency of exciton transfer
% L_eg is -1i[H,rho_{eg}], plus extra acting on one specific tier of the
% density mat... |
function [tempTrafficBuffer] = changeTrafficBuffer (primaryPathTable, trafficBuffer)
PR = length(primaryPathTable);
TB = length(trafficBuffer);
tempTrafficBuffer = zeros(1,2);
for i = 1: PR
tempTrafficBuffer(i,1) = primaryPathTable(i);
tempTrafficBuffer(i,2) = 0;
end
... |
function Circle()
%Introduction to the function
disp('The General Equation of the Circle is in the form:')
disp(' ')
disp("Ax^2 + Ay^2 + Bx + Cy + G")
disp(' ')
disp('Simplified:')
disp("x^2 + y^2 + Dx + Ey + F")
disp(' ')
disp("Where:")
disp("D = B/A")
disp("E = C/A")
disp("F = G/A")
disp(' ')
disp("This... |
function [stats,printouts] = accuracyStats(gt,prediction,varargin)
% Provides the most common statistical means for the accuracy assessment
% of multivariate classification tasks. Measures are stored in the MATLAB
% struct 'stats' and include (name: description):
%
% - cfmat: Confusion matrix (absolute numbers)
%... |
function [freq, peak, dsp] = get_all_tones( signal, fs, thr, win )
%
%function freq = get_all_tones( signal, fs [,thr, win ] )
%
% Retourne toutes les frequences detectees dans le signal
%sous la forme d'un vecteur ligne 'freq'. La methode utilisee
%est une convolution entre la DSP de 'signal', puis une
%dete... |
%% Returnerar dT för varm och kall ström för
%%
%% Motström
%% För simulering ensam
%% T(1) är kallvatten ut
%% T(2n) är varmvatten ut
%% T(n) är kallvatten in
%% T(n+1) är varmvatten in
%%
%% 1 2 .. n
%% <-------- kv in
%% -------->
%%n+1 .. 2*n
%In kommer 1:n-1, n+1:2n, dvs 2n-2 st
function d... |
function [cfg] = config_lasso(nchains,jobname,mu,b)
%CONFIG configure five node model and parallel tempering options
%
% [cfg] = config()
%
% Initialize default configuration options
cfg = init_config_defaults();
%% Parameter definitions (see BNGL model for parameter descriptions) [REQUIRED]
% Available prior distri... |
function ClusterFunc_00_ShowInfo(self)
S = {self.name, ...
sprintf('@%s', class(self)), ...
sprintf('%d spikes', self.nSpikes()), '', ...
};
for iL = 1:self.nLimits
S = cat(2, S, ...
sprintf('Limited on < %s X %s >', self.featuresX{iL}.name, self.featuresY{iL}.name));
end
msgbox(S, self.name);
... |
function [ source_out ] = construct_source( prim_cc,dadx_cc )
%Function "construct_source"
% Adapted for MATLAB from Joe Derlaga's "residual.f90", 071113.
% Constructs the Q1D area source term for the x-momentum equation.
global param
source = prim_cc(:,3) .* dadx_cc(:);
% Do not return values over ghos... |
function [] = motion_trajectory( vo , ao, ho, n)
addpath('functions');
% -------------------------- Parametros Iniciais --------------------------
g = -9.809; % [m/s^2] Aceleração da gravidade
so = 0;
syms t;
% Componentes da velocida
vox = vo*cos(ao*pi/180);
voy = vo*sin(... |
#include "com_codename1_ui_animations_Timeline.h"
const struct clazz *base_interfaces_for_com_codename1_ui_animations_Timeline[] = {&class__com_codename1_ui_animations_Animation, &class__com_codename1_ui_Painter};
struct clazz class__com_codename1_ui_animations_Timeline = {
DEBUG_GC_INIT &class__java_lang_Class, 9999... |
clc
clear
close all
L1 = .4;
L2 = L1*sind(60);
l1 = .2;
l2 = .2;
h = .4268;
f = .05;
actuator_length = 0.25;
P = actuator_length*2;
% Desired motion
m = 10000;
tf = 10;
t = linspace(0,tf,m);
theta = 20*sin(115/15*t)*pi/180;
phi = 15*sin(10*t)*pi/180;
z = .1*sin(.5*t);
H = h+z;
vars = table(L1,L2,l1,l2,theta,phi... |
function [predictProbLearning,predictProbTest,predictClassTest,N_Leaf,Nb_arbre,depthM]= ...
runRandomForest(depLearning,explLearning,explTest,depLearningQual)
%% fix random number generator for reproducibility
rng(200000);
s=rng;
rng(s);
%% find the optimal number of trees
Prior_Prob=[1-... |
function [B] = rotacionZ(A, theta)
rotZ = [cos(theta) -sin(theta) 0 0;...
sin(theta) cos(theta) 0 0;...
0 0 1 0;...
0 0 0 1];
B = A*rotZ;
end |
close all;
name = {'2 lux'; '43 lux'; '90 lux'; '243 lux'};
rgb = [0.24, 0.13, 0.03, 0.02;
0.03, 0.01, 0.0, 0.0]';
x = 1:4;
b = bar(x, rgb, 1);
b(1).FaceColor = 'red';
b(2).FaceColor = 'blue';
set(gca, 'xticklabel', name);
legend('RGB','RGBD');
xlabel('Lighting', 'FontSize', 13);
ylabel('Error Percentage', 'Fon... |
function z= bayes_classifier(m, S, P, X)
[l,c] = size(m); % dimnesionality
[l, N] = size(X); % number of data vectors
for i=1:N
for j=1:c
t(j) = P(j) * comp_gauss_dens_val(m(:,j), S(:,:,j), X(:,i));
end
[num, z(i)] = max(t);
end
end |
% Script to run a STABILITY_FIR pipeline analysis on the twins database.
%
% Copyright (c) Pierre Bellec,
% Research Centre of the Montreal Geriatric Institute
% & Department of Computer Science and Operations Research
% University of Montreal, Québec, Canada, 2010-2012
% Maintainer : pierre.bellec@criugm.qc.ca
... |
function L = computeCost(y, tX, beta)
% Compute the MSE
N = length(y); %compute number of data points
e = y - tX*beta; %compute the error of the model
L = e'*e/(2*N); %compute MSE cost functions
end
|
%
% Classe CTpchnl
%
% Classe de gestion des échelles de temps
%
% Permet d'afficher les datas en fonction du temps ou on
% décide de la référence temporelle (premier échantillon:
% zéro ou autre...)
%
classdef CTpchnl < handle
properties
Dato ={};
end
properties (SetAccess = protected)
... |
function plot_gnss_file(file_path)
% Plot first 0.1s data in specific file.
n = 4e5; %0.1s
fileID = fopen(file_path, 'r');
data = fread(fileID, [2,n], 'int16'); %two row vector
figure
plot((1:n)/4e6, data(1,:))
hold on
plot((1:n)/4e6, data(2,:))
fclose(fileID);
end |
% KU Leuven - Technology Campus Gent,
% Gebroeders De Smetstraat 1,
% B-9000 Gent, Belgium
%
% File: Si_MOSFET_CSD17551Q3A_power_calculation
% Created: 2020-04-16
% Author: Jonas De Schoenmacker
% Version: 1.0
%
% Description: Vermogenverlies in MOSFETs CSD17551Q3A, masterproef:
% snelladen... |
function [ data ] = read_cell( file, dim )
%READ_CELL Summary of this function goes here
% Detailed explanation goes here
data = cell(dim,1,0);
fin = fopen('hmm_o.txt');
count = 0;
while ~feof(fin)
line = fgetl(fin);
a = sscanf(line,'[ %f %f %f]; ');
l = size(a,1)/3;
count = count + 1;
for i=1:l
... |
function [result,z,x,pi] = fullrsm(m,n,c,A,b)
% Solves a linear program using Gauss-Jordon updates
% Assumes standard computational form
% Performs a Phase I procedure starting from an artificial basis
% Author: Alex Kennedy | aken327 | 460783474
% Input:
% m,n = number of constraints and variables
% c =... |
function [pth_script_parfor,pth_script_dummy] = create_bash_scripts(dir_scripts_l,dir_scripts_h,jnam_h,jnam_dummy,fun,dir_logs_h,matlab_h,pwd_h,t)
% Create bash scripts that are called using qsub to run on holly.
%
% Mikael Brudfors
% 2017-11-04
%=========================================================================... |
% non-linear constraint functions
% May 1, 2013
function [c, ceq] = nonlconst3(a)
% Nonlinear inequality constraints, c(a)<=0
%c = [];
%c = [-a(1)^2-a(5)^2+a(2)^2+a(6)^2;
% a(2)^2-(sqrt(a(1)^2+a(5)^2)+sqrt(a(1)^2+a(5)^2-a(2)^2-a(6)^2))^2*sin(2*thetaN)^2];
% c = [ -a(1)^2-a(5)^2+a(2)^2+a(6)^2;
% a(2)^2-(sqr... |
function [ X, y ] = GenerateTrainData( criterion, numSets, numObj, numFeat, ...
par, alg)
% Function generates data set and target vector to learn the classification
% algorithm to forecast the best FSM using the corresponding data set
%
% Input:
% criterion - string - name of ... |
%% set hyperparams
fs = 44100;
blockSize = 1024;
hopSize = 512;
%% sin wav test
f1 = 441;
f2 = 882;
t1 = (0: 1/fs : 1);
t2 = (0: 1/fs : 1);
% generate sin wav
sin_t1 = sin(2*pi*f1*t1);
sin_t2 = sin(2*pi*f2*t2);
sin_t = [sin_t1,sin_t2(2:end)]';
% calculate f0 by finding max bin in spectrum
[f0_max, ts] = myPitchTrackMax... |
function f = es8(x)
%Trying es8 function
for k=1:60
x=sqrt(x);
end
for k=1:60
x=x*x;
end
f=x;
end
|
for a=1:1000
for b=a:1000
c=1000-b-a;
if c==sqrt(b^2+a^2);
disp(a), disp(b), disp(c)
end
end
end |
clear all;
clc;
N=100;
%M=17;
fileID=fopen('Mini_150.csv','w');
A=zeros(100,2);
B=zeros(100,2);
T=csvread('Dataset2.csv');
%fprintf(fileID,"For N = %d\n\n\n",N);
%fprintf(fileID,"M count cv\n");
for M = 1:100
min=10;
max=20;
for i=1:M
for j=1:N
% P(i,j)=i+j;
... |
ifile = '../../tensors/3d_3_8.tns';
tns = sptLoadSparseTensor(1, ifile);
ts = tic;
for niter = 1:5
Z = sptSparseTensorAdd(tns, tns);
sptFreeSparseTensor(Z);
end
time = toc(ts);
fprintf('seq add time: %f sec\n', time/5);
sptFreeSparseTensor(tns);
|
classdef TimeArray < irf.Time
%TimeArray Class representing a time array
% Many time points
% ----------------------------------------------------------------------------
% "THE BEER-WARE LICENSE" (Revision 42):
% <yuri@irfu.se> wrote this file. As long as you retain this notice you
% can do whatever you want... |
function result = _b (node, elem, ne)
result(1,1) = node(elem(ne,2),2) - node(elem(ne,3),2);
result(2,1) = node(elem(ne,3),2) - node(elem(ne,1),2);
result(3,1) = node(elem(ne,1),2) - node(elem(ne,2),2);
endfunction
|
clear
A = [ -2.0 0.5 1.20 ;
0.0 -1.0 0.10 ;
-0.2 0.1 -1.00 ];
B = [ 1 0 ; ...
0 1 ; ...
0 0 ];
C = [1 0 1]';
T = 2; Nt = 100;
tspan = linspace(0,T,Nt);
x0 = [0 0 1]';
[ut_opt,xt_opt,xt_free] = SolveOCP(A,B,C,tspan,x0);
%%
figure(1)
subplot(3,1,1)
plot(ut_opt')
title('ut opt')
subp... |
function imd = CS4640_im_dist(im1,im2)
% CS4640_im_dist - pixel-wise vector distance between images
% On input:
% im1 (M1xN1xP1 array): image 1
% im2 (M2xN2xP2 array): image 2
% On output:
% imd (M1xN1 array): distace image
% Call:
% imd = CS4640_im_dist(im1,im2);
% Author:
% Kyle Heaton
% UU
% Spri... |
function [A, msg] = rs232(varargin)
% [A, MSG] = RS232
%
% Constructor of class rs232
%
% Dick Heeren
% 2013 Marc van Wanrooij
switch nargin
case 0
A.baudrate = 115200;
A.timeout = 1000; % 1 sec
A.connected = true;
A = class(A, 'rs232');
[~, msg] = serialport(0,[A.baudrate,A.timeout]);... |
%直接序列扩频部分
function output_dsss = dsss(input_signal,seq_m)
i_s_len = length(input_signal);
input_signal = repmat(input_signal,1,8);
input_signal = reshape(input_signal,i_s_len,8);
input_signal = input_signal';
input_signal = reshape(input_signal,1,i_s_len*8);
input_signal = 2*input_signal - 1;
output_dsss = ... |
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