text stringlengths 8 6.12M |
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function W = generate_weights(N, mu_x, mu_y, offset)
slope = 0.1720; % slope of rf size - eccentricity relationship
intercept = -0.25; % intercept of rf size - eccentricity relationship
theta = 1; % smallest allowed rf size
conversion_factor = 1 / 1.7... |
clc
close all
clear all
IP_Image = imread('D:\STUDY\DIP\img_lib\elaine.512.tiff');
subplot(1,2,1);
imshow(IP_Image);
title('Orignal Image');
% Histogram of Image (Part 1)
subplot(1,2,2);
imhist(IP_Image);
title('Histogram of orignal image');
% Local Histogram Equalization (Part 2)
Lcl_Eq_2 = adapth... |
function text = AlazarErrorToText(retCode)
text = calllib('ATSApi', 'AlazarErrorToText', retCode);
|
% AMIGO_plot_pareto_front: plots pareto front in multiobjective opt
%
%******************************************************************************
% AMIGO2: dynamic modeling, optimization and control of biological systems %
% Code development: Eva Balsa-Canto %
% Address... |
function [x,n,E]=Xsolver(x,y,S,M,T,TFov,A,B,kGrid,rkGrid,nX,toler,lambda)
%XSOLVER Reconstructs an image using CG SENSE with multishot alignment
% X=XSOLVER(X,Y,S,{M},{T},{A},{KGRID},{RKGRID},{NX},{TOLER},{LAMBDA})
% computes the best X for a given T
% * X is the image to be reconstructed
% * Y is the measu... |
%% Intro
%{
Intro
%{
Matthew Luu
8/28/2020
%}
Description of Code: Assignment #1
%{
Takes Linear Spectrum of different functions for assignment 1
%}
Color Codes
%{
'red' 'r' [1 0 0]
'green' 'g' [0 1 0]
'blue' 'b' [0 0 1]
'cyan' 'c' [0 1 1]
'magenta' 'm' [1 0 1]
'yellow' 'y' [1 1 0]
'black' 'k' [... |
%% Satellite probagation
TLE2RV
clc
%close all
clear all
%close all
format long g
global AuxParam eopdata PC Cnm Snm const swdata
%% Load initial data
SAT_Const
load DE430Coeff.mat
load Epoch.mat
load State.mat
load Kep.mat
load BStar.mat
PC = DE430Coeff;
Y0 = Y(1,:)';
%% Load File
% read Earth gravity field coe... |
clear all
clc
target_image=(imread('img.jpg'));
random_image1=(imread('1.jpg'));
random_image2=(imread('2.jpg'));
random_image3=(imread('3.jpg'));
random_image4=(imread('4.jpg'));
random_image5=(imread('5.jpg'));
random_image6=(imread('6.jpg'));
imageArray={random_image1,random_image2,random_image3,random_image... |
function [ dataset ] = dm_preprocess( prdatafiles, labels, width, height, interp, eqpercent, hg_csize, chainc_rsize, hl, calcfeat23, unskew )
%Preprocess the given set of images
global preWidth;
global preHeight;
global resized;
samples = max(size(prdatafiles));
say('Equalizing');
... |
% EJERCICIOS RESUELTOS DE VISIÓN POR COMPUTADOR
% Autores: Gonzalo Pajares y Jesús Manuel de la Cruz
% Copyright RA-MA, 2007
% Ejercicio 7.7: Extracción de bordes, regiones y puntos de interés
% Operador Laplaciana
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 7.7.7 Bordes: opera... |
function stack = conditionStack(stack)
% bandpass filter stack for computing cross-correlation
% low-pass filter
k = hamming(5);
k = k/sum(k);
stack = imfilter(imfilter(stack,k,'symmetric'),k','symmetric');
% unsharp masking
sigma = 41; % somewhat arbitrary
k = gausswin(sigma);
k = k/sum(k);
stack = stack - imfilter... |
disp('Open sim12ex8.mdl in SIMULINK WINDOW and click on simulation')
|
classdef Integers
properties (Constant)
zero = 0;
one = 1;
end
methods (Static)
function r = add(obj,a,b)
r = a+b;
end
function r = minus(obj,a,b)
r = a-b;
end
function r = prod(obj,a,b)
r = a*b;
... |
function [fig ] = plot_basic_temp(T, unit, dtind , tl, vis)
%% [fig ] = plot_basic_temp(T, [unit], [dt] , [tl], [vis])
%
% Basic plotting routine for temp.mat data
%
% INPUT
% T : temp.amt structure
% unit : string containing unit
% dt : step width for time array... |
function routineDataPlot_GroupHDS_SVM(R)
close all
[bigStore,subjects,typeLabels,featBank] = loadABCGeneric(R,{'bigStore','subjects','typeLabels','featBank'});
typeLabels = {'ISI','PreMove','PostMove','Imagery'};
%% Now do the plotting
cmap = linspecer(5);
R.data.feat_xscale{1} = R.frqz;
% Select by SNR
DC = table2arr... |
function img = BrukerRecon(bruker)
% Original file by Evan Calbrese, 6/8/11
% rmd - added multi-echo read, 6/8/11
% rmd - adapted for newest data, 8/3/12
if isempty(bruker)
display('select directory containing fid file to recon')
bruker=readBrukerDirectory();
end
display('select directory to save output NIfTI t... |
% Compute the sum of weights of points, i.e. Sigma(s')/max(Sigma(s')),
%
% Input: W: the adjacency matrix of NCUT;
% numOfNeighbours: the number of neighbourhood
% Output: M: the array of normalized neighbour sum
%
% 2007/12/18
% zhongcaiming
function M = sumOfNeighbors(W, numOfN... |
function [C, S, C_df] = processEftyOuts(C, S, C_df, Nnan_nanBeg_nanEnd, normalizeSpikes)
% cleans C and S, ie removes the iti nans.
% removes the last row of C_df (background comp).
% if normalizeSpikes is 1, normalizes S of each comp to its max.
% P and A are optional, if provided plots of tau, neuron_sn and max(A... |
clc;clear all;
x=[10,41,79,139,202,298];
y=[3.1,11.8,21.1,29.8,37.4,42.5];
x=x';y=y';
Z=zeros(length(x),2);D=zeros(length(x),1);
v=[1;0.004]
yfit=Z;
k=3;errt=1;
err=zeros(k,1);eps=0;count=0;countmax=10;
while errt>eps && count<countmax
count=count+1
for i=1:length(x)
yfit(i)=v(1)*(1-exp(-1*v... |
clear
clc
close all
a=0.75
n=-2:0.2:3;
y=exp(a*n)
figure(5)
stem(n,y,'color',[200 40 10]/255,'Linewidth',2)
axis([-2 3 -4 10])
xlabel('n')
ylabel('f[n]') |
function make_hoverjump(thisdir,label)
load(thisdir,[label '_replay_seqmax'],[label '_replay_seqreplayindex'],[label '_replay_seqtimes'])
eval(['seq = ' label '_replay_seqmax;'])
eval(['seqtimes = ' label '_replay_seqtimes;'])
eval(['seqindex = ' label '_replay_seqreplayindex;'])
clear([label '_replay_s... |
format bank
mcolor = {'g', 'r', 'b', 'y', 'm', 'w', 'k'};
load('av_pcl.mat');
clf
fg_clouds = {};
bg_planes = zeros(16,4);
for f = 1 : 16
f
R = pcl_cell{f};
R(:,:,4:6) = R(:,:,4:6) * 1000;
[L,W,~] = size(R);
R = reshape(R, L*W, 6);
depth_cloud = R;
% remove 0 row
depth_cloud = depth... |
%% is_in: function description
function [inside] = is_in(tetra, point)
n = size(tetra, 1);
D0 = [tetra ones(n, 1)];
D1 = D0;
D1(1,:)=[point 1];
D2 = D0;
D2(2,:)=[point 1];
D3 = D0;
D3(3,:)=[point 1];
v = sum([det(D0) det(D1) det(D2) det(D3)] >= 0);
if(v==n || v==0 )
inside = true;
else
... |
%% Clear all
clc;
clear all;
%% Initialize values
% Onewheel
M = 750*10^(-3); %[kg]
L = 72*10^(-3); %[m]
Iyy_g = 2049081*10^(-9); %[kg*m^2]
Ixx_g = 810407*10^(-9); %[kg*m^2]
m_w = 54*10^(-3); %[kg]
R_w = 0.04; %[m]
I_w = (1/2)*m_w*(0.02^2+0.04^2); %[kg*m^2]
% Motor
R = 38; %[Ohm]
K_phi = 0.158; %[Nm/A]
K_t = 0.158;... |
function [ S ] = initialize( N,n_0,index )
% Initialize fuild field for different TESTs
% N: grid number
% n_0: index of discontinuity surface
% index: TEST index
% S: [rho u p]
switch index
case 1
S_l=[1,0.75,1];
S_r=[0.125,0,0.1];
case 2
S_l=[1,-2,0.4];
S_r=[1,2,0.4];
... |
function dHip_x_vel = dHip_x_vel(in1)
%DHIP_X_VEL
% DHIP_X_VEL = DHIP_X_VEL(IN1)
% This function was generated by the Symbolic Math Toolbox version 8.4.
% 16-Jun-2020 20:49:44
q1 = in1(:,1);
q2 = in1(:,2);
qd1 = in1(:,7);
qd2 = in1(:,8);
t2 = q1+q2;
t3 = cos(t2);
t4 = sin(t2);
t5 = t4.*4.38012e-1;
t7 = qd2.*... |
I = imread('lena.jpg');
I = rgb2gray(I);
x1 = input("Enter the x coordinate of desired left top coordinate rate\n");
y1 = input("Enter the y coordinate of desired left top coordinate rate\n");
x2 = input("Enter the x coordinate of desired right bottom coordinate rate\n");
y2 = input("Enter the y coordinate of desired r... |
clc;
clear variables;
n=imread('sqr_17.jpg');
[row,col,channel]=size(n);
I=double(n);
I_16{16}=zeros(64,64,3);
dim(1:12)=1;
dim(13:16)=[64 64 64 64];
% Initializing variables %
eigval=zeros(64,64,3);
eigvec=zeros(64,64,3);
A{16}=zeros(64,64,3);
A_new=zeros(row,col,channel);
eigval_u=zeros(64,64,3);
eigv... |
% This function is used to calculate (d cos(beta))/(d r).
function f = dcosbetadr(R,r,theta)
f1 = 2*r.*((r.^2+R.^2).^2-4*R.^2.*r.^2.*sin(theta).^2).^(-0.5);
f2 = 2*(r.^2-R.^2).*(r.*(r.^2+R.^2)-2*r.*R.^2.*sin(theta).^2).*((r.^2+R.^2).^2-4*R.^2.*r.^2.*sin(theta).^2).^(-1.5);
f = f2-f1;
end |
%Project takes as an input an excel file with 10950 rows and 4 columns(One
%for each timescale.
%It stores a data in a 3 Dimensional Matrix dayWiseAnswer.
%In matlab, a 3D matrix is stored as (row,col,page)
%There are total 7 pages in o/p matrix, one for each day.
%On each page, there are 4 columns ( One for each scale... |
% Call Syntax: varphi = sift(g, SiftStopThresh, alpha, maxSifts)
%
% Description: This function perfoms sifting to remove a single IMF
%
% Input Arguments:
% Name: r
% Type: vector (real)
% Description: original signal to extract one IMF
%
% Name: StopThresh
% Type: scalar (positive)
% Description: Sifting... |
function investigateNLTransBehaviour(R)
subjects= ls([R.path.localDatPath '\Generic']);
subjects = cellstr(subjects);
subjects = subjects(5:end);
fsamp = 1000;
SL = 0;
for sub = 1:size(subjects,1)
subCodeList = [];
file1 = [R.path.localDatPath '\Generic\' subjects{sub} '\' subjects{sub} '_TransWindow_FT_Data.ma... |
% Lithophane-generator
% utils/estimate_face_count_flat.m
%
% © Jacob Peroutek, 2020
% All rights reserved.
% Estimates the number of faces for a given image size
function face_count = estimate_face_count_flat(img_size)
perimeter = sum(2 * (img_size - 1));
area = (img_size(1) - 1) * (img_size(2) - 1);
fac... |
%ball drop
h0 = input("height of ball at drop: ");
h1 = input("height of ball after first bounce: ");
syms t t2
timeFalling = solve(.5 * 9.81 * t.^2 == h0, t);
v1 = 9.81 * timeFalling;
timeRising = solve(.5 * 9.81 * t2.^2 == h1, t2);
v2 = timeRising * 9.81;
res = v2/v1;
sprintf("coefficient of restitution is %.4f "... |
function []=InformationAndDiagEntropy()
% Get ready random matrices size and number of random matrices
Mat_sizes = [4 8 16 32 100 150];
repeats = 1000;
% Then load Solveig's data
Data_dir = '/Users/elie/Dropbox/Solveig/Neuro/J. Neuroscience/selectivity';
load(fullfile(Data_dir, 'entropy_Bird_Dist_matrices_1322units.m... |
import = 0;
if import
t1 = [53413,53525,53632,53684,53724,53764,53804,53844,53884,53925];
t2 = [53519,53626,53678,53718,53758,53798,53838,53878,53917,54010];
tb1 = t1(1);
tb2 = t2(1);
record = grab_3mdata_chunks('110821',t1,t2,tb1,tb2);
clearvars t1 t2 tb1 tb2 import
end
L = size(record,1)... |
clf;clear all;close all;
signal = [1 zeros(1,127)];
% Causal System
channel_gain_fast = 0.3 ; channel_gain_med = 1 ; channel_gain_slow = 0.3;
ISI_signal = real(ISI_system(signal, channel_gain_fast, channel_gain_med, channel_gain_slow));
L = length(ISI_signal);
h = 8*(-1/3)*((-1/3).^[0:L-1]);
equalized_signal = conv(... |
function display_latitudinal_dependence(values_input_average, lat_input, x_limit)
figure;
set(gcf, 'Position', [100, 100, 200, 310]) % [Left Bottom Width Hight]
%% upper figure
values_latitudinal_mean = nanmean(values_input_average,1)';
values_latitudinal_std = nanstd(values_input_average,1)';
subplot('Position', [... |
%***********************************
% Get the surface area of an openning
%***********************************
function [Ao] = getA_opening(surface_id,opening_id)
global Infor_surface
height=Infor_surface{5, surface_id}(opening_id,1).RectangularGeometry.Height*0.3048;
width=Infor_surface... |
function [map]=align_surf_to_fsa4(a,hem)
if(hem=='L')
fsa4L=gifti('/scr/namibia1/Projects/Personality/HCP_Data/fsa4L.gii');
Dist = pdist2(a.vertices,fsa4L.vertices);
for i=1:32492
mind=min(Dist(i,:));
map(1,i)=find(Dist(i,:)==mind);
% Dist(map(i),:)=100000000;
end;... |
% plots the lowest energy levels and the
% average charge of a Cooper Pair Box (CPB), both single junction
% CPB and split CPB.
% A function call plots two figures, one is the energy levels and
% and the other is the average charge. The calculated data is
% saved to the current directory thus a later function call wi... |
n=10000;
for i=1:n
fprintf('%d/%d\n', i, n);
frame=randn(320, 1);
zcr1=zcRate(frame);
zcr2=zcRateMex(frame);
if (zcr1~=zcr2)
break;
end
end
|
function varargout = Detect_Lightning_Main_Dev(varargin)
% DETECT_LIGHTNING_MAIN_DEV MATLAB code for Detect_Lightning_Main_Dev.fig
% DETECT_LIGHTNING_MAIN_DEV, by itself, creates a new DETECT_LIGHTNING_MAIN_DEV or raises the existing
% singleton*.
%
% H = DETECT_LIGHTNING_MAIN_DEV returns the handle to a... |
d1=0;
a3=155;
a4=153;
d5=33;
dE=65;
x4=185;
z4=133+(d5+dE)-d1; %needs to be fixed when zd is determined
C=180-acos((x4^2+z4^2+a3^2-a4^2)/(2*a3*sqrt(x4^2+z4^2+a3)))-acos((a4^2+a3^2-x4^2-z4^2)/(2*a4*a3));
theta2=acos((x4^2+z4^2+a3^2-a4^2)/(2*a3*sqrt(x4^2+z4^2+a3)))+atan(z4/x4);
theta3=acos((a4^2+a3^2-x4^2-z4^2)/(2*a... |
function v = gen_vec(comp, N)
v = complex(zeros(N,1), 0);
j = 1;
for i = 1:N:length(comp)
v(:,j) = comp(i:i+N-1,1);
j = j+1;
end
end |
% delayBuffer.m
% Dan Hirlinger
% 2/10/21
% Input
x = [1; zeros(9,1)];
h = zeros(3,1);
N = length(x);
h = zeros(4,1);
g = 0.5;
for n = 1:N
% % Series delay
% y(n,1) = h(end,1);
%
% h = [x(n,1) ; h(1:end-1,1)];
%
% % Feed-forward delay
% y(n,1) = x(n,1) + (g * h(end,1));
%
% h = [x... |
% This function is an implementation of the euler method to find numerical
% solutions to differential equations. This is the function used to find
% approximations for problems 2.2.3 and 3.1.7 in Project 1 for APPM 2360
% Fall 2018
function y = ode_euler(yprime, ts, y_0)
y = zeros(size(ts));
y(1) = y_0;
... |
%-----------------------------------------------------------------------
% Job configuration created by cfg_util (rev $Rev: 4252 $)
%-----------------------------------------------------------------------
matlabbatch{1}.cfg_basicio.cfg_mkdir.parent = {'/Volumes/crunch/freshTPS/random/B/'};
matlabbatch{1}.cfg_basicio.cf... |
function fig = find_figure(figname,createnew)
% find figure with given name or create new
% script from /rota/programs/matlab
if nargin < 2, createnew = 1; end
fig = findobj(0,'-depth',1,'Name',figname);
if ~isempty(fig)
set(0,'CurrentFigure',fig(1));
elseif createnew
fig=figure;
set(fig,'Name',figname);
else
f... |
filefolder = 'C:\Users\praveen\Desktop\imgp\4\Input Images\';
imagefiles = dir(fullfile(filefolder,'*.*'));
nfiles = length(imagefiles);
for i=[4]
filename = imagefiles(i).name;
fullfilename = fullfile(filefolder,filename);
lbp = imread(fullfilename);
[row column depth] = si... |
% combine the results of bootstrap for NMG
clear
load('boot_NMG1.mat')
rec_beta_hat_all = rec_beta_hat;
load('boot_NMG2.mat')
rec_beta_hat_all = rec_beta_hat_all+rec_beta_hat;
load('boot_NMG3.mat')
rec_beta_hat_all = rec_beta_hat_all+rec_beta_hat;
load('boot_NMG11.mat')
rec_beta_hat_all = rec_beta_hat_all+rec_beta_hat... |
clear all
clc
% for the time
t = -5:0.001:5;
% First function's part
i1 = (t>=0)*1.0;
% Seconf function's part
i2 = (t>=0.001)*1.0;
% The final function
it = i1 - i2;
plot(t,it,'b','linewidth',2)
title('\delta (t)')
grid on
pause |
function [A, b, f] = SecondFIRProblem(wp, ws, wc, L, N, N1, DeltaP, DeltaS, DeltaT)
M = (N-1)/2;
%% Frequency
w = (0:L)*pi/L;
%weighting matrix
S = diag(1/DeltaP*(w<=wp) + 1/DeltaS*(w>=ws));
d = (w<=wc)';%desired LPF frequency responce
%% Get time constraints
T1 = fliplr(tril(ones(N)));
T2 = aToh(N);
T = T1(1:N1+1,... |
function [dpn] = mtspMatch(dpn,mts)
%mtspMatch - match the two parts from the same file. This may involve
%rotation, etc to make them match
% Need to reshape the mts.sp structure, by matching againt the size of the
% dpn.d1.sp matrix.
szd = size(dpn.d1.sp);
% Because the metaspace image is rotated, we need to switch ... |
% Captures frames with your images and an overlay of the tracking marker
% written by Chris
function [validx,validy]=Markerplotting(validx,validy);
if exist('validx')==0
[validx,Pathvalidx] = uigetfile('*.mat','Open validx.mat');
cd(Pathvalidx);
validx=importdata(validx,'\t');
end
if exist('validy')==0
... |
function [x,y,I2,ix,iy] = digitizeGraph(I)
if (nargin == 0),
[fn,pn] = uigetfile({'*.jpg;*.tif;*.png;*.bmp','Image files'}, ...
'Graph image file');
fname = fullfile(pn,fn);
I = imread(fname);
end;
imshow6(I,'n');
box = msgbox('Click origin','Digitize graph','help','non-modal');
[ox,oy] = gi... |
% Have user browse for a file, from a specified "starting folder."
% For convenience in browsing, set a starting folder from which to browse.
clc
clear
startingFolder = 'C:\Users\Barfi\Dropbox\Clifford_Lab_MATLAB\Shafaat_try_GUI\Data';
if ~exist(startingFolder, 'dir')
% If that folder doesn't exist, just start... |
function [ tinew,lambda,J,dJ,m] = UnPasGradient( param, tiold,px,py,lambda )
% methode du gradient avec pas adaptatif
p = [px py]';
% sous forme polynominale:
[J,dJ,m]= calculerJ(param,tiold,p);
% update theta:
tinew = tiold - lambda*dJ;
% choix de lambda:
[Jnew,~,m]= calculerJ(param,tinew,p);
if Jnew <= J
lambd... |
function plot_3d(time, freq, amp, scale, fig_title)
% plot_3d(time, freq, amp, scale, title)
%
% plot 3d-like picture of a signal
% scale can be 'auto' or real number
%
% slazav, feb 2012
%% plot 3d-like frequency picture
[p_f, p_a] = rel2f.find_peaks(freq,amp(:,1));
[p2f, p2a] = rel2f.select_2peaks(p_f,... |
%% Phase Correlation demo
% Demonstrates estimating translational shift between two successive frames
% using Phase Correlation.
%
% <https://github.com/opencv/opencv/blob/3.1.0/samples/cpp/phase_corr.cpp>
%
%% Prepare video source
vid = cv.VideoCapture();
pause(1);
assert(vid.isOpened(), 'Could not initialize capturi... |
function [state] = initialize()
state.attitudeVector=[0.0 0.0 0.0];
state.attitudeQuaternion=rpy2quaternion(state.attitudeVector);
state.attitudeMatrix=makerotation(state.attitudeVector);
state.velocityVector=[300.0 0.0 0.0];
state.positionVector=[0.0 0.0 0.0];
state.bodyrateVector=[0.0 0.0 0.0];
state.alp=0.0;
state.b... |
% rings data sum for loose criteria
%idces from hebb_pattern_showcase.m
if ~exist('rings','var')
load rings.mat
load 114_sorted_file_path.mat
%freg=load('sel_conn_chain_duo_6s_1_2.mat','pair_reg','pair_chain');
%load reg_keep.mat
cd('/home/xd/pkg')
addpath(fullfile('npy-matlab-master','n... |
classdef SiAMODeL
%UNTITLED8 Summary of this class goes here
% Detailed explanation goes here
properties (Access = public)
DataTypes;
MAINSTRUCTURE;
end
methods
function SiAMODeL = SiAMODeL(DATA)
%UNTITLED8 Construct an instance of this class
... |
function PlotStim(record,trange,hs)
% PlotStim(record,trange,hs)
% record: the cell-array with the stimulus info & neural responses,
% arranged in records
% trange: the range of the time axis (will be calculated if omitted)
% hs: axis handle for the stimulus plot (will create a new plot window if omitted)
if (nargin... |
cyc_description='development test cycle';
cyc_version=2003; % version of ADVISOR for which the file was generated
cyc_proprietary=0; % 0=> non-proprietary, 1=> proprietary, do not distribute
cyc_validation=0; % 0=> no validation, 1=> data agrees with source data,
% 2=> data matches source data and data collection meth... |
function[code]=loadcdmadata(name)
load(name);
group_no_to_select=1;
if exist('group')==1
if numel(group)~=0
select=group(group_no_to_select,:);
end
end
if exist('groups')==1
select=groups(group_no_to_select,:);
end
codelength=n;
[aa,users_max]=size(select);
%% generate code
% codelength=length(dop2... |
function imgnm = gen_nm(num, key)
% key == 0, input image name
% key == 1, output interpolation image name
% key == 2, .flo file name
% key == 3, _ker.png
if key == 0
s = num2str(num);
len = length(s);
for i = 1:4-len
s = ['0', s];
end
imgnm = ['fr... |
#
clear;
|
function [aM_out] = matrixTriangle_set(aM_in, af_val, varargin)
%
% NAME
% function [aM_out] = matrixTriangle_set(aM_in, af_val, <astr_triangle>)
%
%
% ARGUMENTS
%
% INPUT
% aM_in matrix square matrix
% af_val float value to assign to upper or lower
% ... |
function [morphed_im] = morph(im1, im2, im1_pts, im2_pts, warp_frac, dissolve_frac)
% Triangulation used to morph a source image into a target image
% Author: Brian Wright
%
% im1: H1 x W1 x 3 representing first image
% im2: H2 x W2 x 3 representing second image
% im1_pts: N x 2 matrix with first image correspondences
... |
% using a class with static methods here
% since MATLAB doesn't have true globals
classdef g
methods(Static)
function r = DROW; r = 1; end % row dimension
function r = DCOL; r = 2; end % column dimension
function r = DPAG; r = 2; end % page dimension
end
end |
function [ res ] = my_gcd( a, b )
%GCD function used to compute GCD
A=a;
B=b;
while B>0
R=mod(A,B);
A=B;
B=R;
end
res=A;
end |
function [head]=getHeader_smr(fID)
try
frewind(fID);
catch
warning(['getheader_smr:\t' ferror(fID) 'Invalid file handle?' ]);
head=[];
return;
end;
head.FileIdentifier=fopen(fID);
head.systemID=fread(fID,1,'int16');
head.copyright=fscanf(fID,'%c',10);
head.Creator=fscanf(fID,'%c',8);
head.usPerTime=fr... |
function [child1, child2] = crossover(parent1, parent2)
%UNTITLED4 Summary of this function goes here
% Detailed explanation goes here
lengthP1 = length(parent1);
crossoverpoint = randi(lengthP1);
child1=[];
child2=[];
for i=1:crossoverpoint
child1(i)= parent1(i);
child2... |
% Function checks whehter eye is on specified target
%
% input x1 measured x pos
% input y1 measured y pos
% input x1_target vector with x coordinates of potential targets
% input y1_target vector with y coordinates of potential targets
% input error1 max distance from the target allowed
%
% outpu1 target number where ... |
function normaltime=converttomilitary(normaltime)
if strcmp(normaltime{3},'am') && normaltime{1}==12
normaltime{1}=0;
end
if strcmp(normaltime{3},'pm') && normaltime{1}~=12
normaltime{1}=normaltime{1}+12;
end
normaltime(3)=[];
end |
%read the svm model weights and bias
%then output them as fixed point data
clear;
clc;
setup_libsvm_env('kona');
out_name ='/home/maolin/Projects/isp_on_roach/hw_eval/hw/rom.v';
%read data from files
fprintf('reading data...\n');
load svm_model.mat;
weight=(model.sv_coef)'*model.SVs;
bias = -model.rho;
save('svm_wb.ma... |
subplot(3,1,1)
n = -20:1:20;
u1 = (n>=0);
u2 = (n>=10);
a = 0.8;
fxn = (a.^n).*(u1 - u2);
stem(n, fxn)
title('(a^n)*(u[n] - u[n-10]), a = 0.8')
xlabel('n')
ylabel('fxn')
subplot(3,1,2)
n = -20:1:20;
u1 = (n>=0);
u2 = (n>=10);
a = 1.0;
fxn = (a.^n).*(u1 - u2);
stem(n, fxn)
title('(a^n)*(u[n] - u[n-10]), a = 1.0')
xlabe... |
function [rv,vv] = oe2rv_Elosegui_Marcus(oe,mu)
%-%----------------------------------------------------------------------%-
%-%-------------------- Code Template for Computing ---------------------%-
%-%--------- Cartesian Planet-Centered Inertial (PCI) Position ----------%-
%-%------- and Cartesian Planet-Centered I... |
function pac_within_elec(subj,block,coupling)
%coupling: 1 for theta-HG coupling
if coupling == 1
phase_freq = [4 7];
power_freq = [70 150];
phase_lab = 'theta';
power_lab = 'gamma';
end
get_subj_globals(subj,block)
load([dtdir subj '_' block '_CAR.mat'])
ecogCAR = notf(ecogCAR);
ecogPAC = rmfie... |
%%%% Derive Equations of Motion
%
% "See-Saw" Disk problem
%
% This system consists of two components:
%
% 1) The see-saw, which is modeled as a slendar rod that rotates about its
% center of mass.
%
% 2) A uniform disk, which rolls without slip along the see-saw
%
% m = mass of disk
% R = radius of the disk
%
% I1 = ... |
%usa algoritmo de entrenamiento tg_sig
function [a3,P,Q,T,epocas,e,fe,W1,b1,W2,b2]=gdescendente(P,T,W1,b1,W2,b2)
Q = size(P, 1); %numero de muestras(100, 50 ceros y 50 unos)
% Valores iniciales
alfa = 0.001;
epocas=0;
fe=inf;
[ a3,g_W2,g_W1,g_b2,g_b1 ] = feedfordward( P,W1,W2,b1,b2,T );
while fe>10^-4
epocas=epoc... |
function commit(commitMessage)
% TODO error checking
[a, b] = system('git add -u'); % add everything
[a, b] = system(sprintf('git commit -m "%s"', commitMessage));
end
|
function [ output_args ] = ik( input_args )
%IK Summary of this function goes here
% Detailed explanation goes here
end
|
% Condense the data for combinations of age groups
combs = table2array(data_wide(:, {'casese', 'casesf', 'casesg', 'casesh', 'casesi'}));
combsoffset = table2array(data_wide(:, {'offsete', 'offsetf', 'offsetg', 'offseth', 'offseti'}));
[a, b] = find(~isnan(combs));
for j=1:2
for i=1:length(a)
prelambdacombs{j}(i, :)... |
% Alan's Guitar Tuner Code
% Dec 18, 2020
clc;clear;
bigloop = 1;
while bigloop == 1
littleloop = 1;
note_Freqs = [82.5, 110, 146.8, 196, 246.9, 329.6]; % E, A, D, G, B, e. Open string freqs for A440 tuning
% prompts user to input which string is being tuned
prompt= '\nPress the number correspond... |
function out=dualsrckf(dynfun,obsfun,data,time,x0,R,V,P0x,P0q,Re,Rr,q0,param)
%
%DualSRUKF: Dual Estimation Square Root Cubature Kalman Filter
% DUALSRCKF(dynfun,obsfun,data,time,x0,R,V,P0x,P0q,Re,Rr,q0)
% This implements a continuous-discrete square root cubature kalman bucy filter to
% simultaneously estimate... |
function h = ut_draw_camera(K,pixsize,R,T,col,camlabel,axlength)
% h = ut_draw_camera(K,pixsize,R,T,col,camlabel,axlength)
% draws a camera in the current axis with the following properties:
% K: camera calibration matrix
% pixsize: size of a pixel (square pixels are assumed)
% R: wRc: orientation ... |
%% part a.)
[x,y] = meshgrid(-2:.2:2, -2:.2:2);
z=(x.^3)+(y.^3)-(2.*x.^2)+(3.*y.^2)-8
surf(x,y,z);
%roots for df/dx=0
a = solve('3*x^2-4*x=0','x');
%roots for df/dy=0
b = solve('3*y^2+6*y=0','y');
hold on
plot3(a(1),b(1),-7,'ro')
plot3(a(1),b(2),-7,'ro')
plot3(a(2),b(1),-7,'ro')
plot3(a(2),b(2),-7,'ro')
syms x y ... |
function X = uq_exponential_invcdf( F, lambda )
% UQ_EXPONENTIAL_INVCDF(F, parameters) calculates the inverse Cumulative Density Function
% values of CDF values F of samples X that follow an exponential distribution with
% some value of the distribution's lambda parameter
%
% NOTE:
% Please keep in mind the differen... |
function F = uq_gamma_pdf( X, parameters )
% UQ_GAMMA_PDF(X, parameters) calculates the Probability Density Function
% values of samples X that follow a Gamma distribution with parameters
% specified in the vector 'parameters'
%
% Input parameters:
%
% 'X' The samples
%
% 'parameters' contains ... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%plot data components of conceptual diagram
%to be stitched together in PPT
%
%
%Corwin Wright, c.wright@bath.ac.uk, 2021/02/01
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
function [A, B] = deinterleave(I)
if ndims(I)<3
A = I;
B = [];
else
A = I(:,:,1:2:end);
B = I(:,:,2:2:end);
end
end |
[Vx,Vy] = lucas_kanade('sphere1.ppm', 'sphere2.ppm'); |
function [weightEachClass, indMutInfEachClass, weights, indMutInf, indxImpf, indxImptf] = mutualInfo(data, label, topN, topM, topO)
odata = data;
data = spones(data);
indMutInf = [];
indMutInfEachClass = [];
numdocs = size(data, 1);
numfeatures = size(data, 2);
ulabels = unique(label);
numl... |
%This function check if the property calculation succeeds or not
% Success: 1; No: 0;
% Dong Dong
% function [target] = checkProperty()
function [target] = Read_BoltzTraP(flag, ID)
% detemine the current folder name
currentdir = pwd;
[upperpath,directory] = fileparts(currentdir);
% Added by Fei Q... |
function error_rate = error_rate_nb(data)
base = 0;
rate = 0.1;
for i=1:size(data,1),
if data(i,32) == 1,
base = i;
break;
end;
end;
traningX=data(floor(rate*base):base-1,1:30);
traningX=[traningX;data(base+floor(rate*(size(data,1)-base)):size(data,1),1:30)];
traningY=data(floor(rate*base):base-1,32);
traningY... |
function [prb w] = updateWeights(prb,wt);
% w = updateWeights(prb,w)
% return a least squares update for the weights- uses cg and
% pipelined operators.
wp = prb.wp;
N = prb.nh;
K = prb.K;
wd = prb.wd + (prb.wp-wt);
nw = prb.nw;
zp = prb.z((N*K)+(1:N));
zm = reshape(prb.z(1:(N*K)),N,K);
fac = sqrt(N/nw/2);
mdfy = p... |
clc;clear;
%LOADING THE DATA
%load GoodMeasurement_14_bus.mat;
%load GoodMeasurement_1354_bus.mat;
load Measurement.mat
%HERE COME USER-DEFINED PARAMETERS OF GN algorithm
eps_tol=10^-6; %stopping criterion for max(abs(delta_x))
Max_iter=100; %maximum number of GN iterations
H_decoupled=0; %if 0, full H and '... |
function result=gaussian(x,c,sigma)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% result=gaussian(x,c,sigma)
% returns the value of a gaussian
% with standard deviation sigma,
% centered at c, evaulated at x
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
result=zeros(size(x));
result=1/(sigma*sqrt(2*pi)).*exp(-(x-c).^2/2/sig... |
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