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function desiPosNeg
%desiPosNeg - this is the main function for doing dual ion mode DESI data
%analysis from a single imzML file.
defP = '/Volumes/JSM/DB/DESI Polarity Switched/IMZML/';
if ~exist(defP,'dir')
defP = pwd;
end
if ~strcmp(defP(end),filesep)
defP = [defP filesep];
end
% Do some simple things relat... |
%% settling_velocity.m
% Usage: settling_velocity(DIR, ts, te)
% Purpose: template for matlab tools
%
% User Inputs:
% nan - Not applicable
%
% Function Requirements:
% part_data.mat time Wp
% flow_data.mat tflow avgWf
function settling_velocity(DIR, ts, te)
load data/part_data.mat time Up Vp Wp
lo... |
function iccp_batch_strf_rtf
% iccp_batch_strf_rtf Estimate modulaton functions for STRFs in directory
%
% Processes all '*-pairs-strf-params.mat' files in the current directory
% and then calculates ripple transfer function parameters. RTFs are the
% Fourier transform of the STRF, and describe the tempo... |
cd(dataPath);
% load ancillary data
addpath("ancillary_mat/.");
% load the lats and lons
load('modis_qkm_pixel_latlon.mat');
load('modis_qkm_water_mask.mat', 'water1_land0');
% add mxvi path
addpath("mxvi_mat/.");
cd("mxvi_mat");
m_year_count = 18;
mxvi_vals = cell(18, 1);
for year = 2002:2019
if ... |
g_name='ig.bmp';
c_name='i2.bmp';
out_name='ir.bmp';
%set solver=1 to use a multi-grid solver
%and solver=2 to use an exact matlab "\" solver
solver=2;
featurelen=9;
% gI=double(imread(g_name))/255;
% %gI=rgb2gray(gI);
% cI=double(imread(c_name))/255;
% ct=rgb2ntsc(cI);
% %colorIm=(((ct(:,:,2)~=0)+... |
input=dataset('File', 'OnlineNewsPopularity.csv');
[r c]=size(input);
summary(input);
|
X_chars = book_data(1:seq_length);
Y_chars = book_data(2:seq_length+1);
%Convert to Matrixes X, Y. (one-hot encoding)
% X,Y size: (K x seq_length)
% h0 zeros
X = zeros(K, seq_length);
Y = zeros(K, seq_length);
for i = 1:seq_length
ch_x = X_chars(i);
ch_y = Y_chars(i);
X( char_to_ind(ch_x), i ) = 1;
Y(... |
function [perror] = checkTracking_Boris_old(truedata, mydata, Nframes)
if nargin < 3
Nframes = truedata.nFrames;
end
trueobjectsnormalobjects = [0 0];
numberofallobjrect = 0;
numberofsmissed = 0;
for iFrame=1:min(Nframes, truedata.nFrames)
trueframe = truedata.Frames(iFrame);
myframe = mydata.Frames(iFra... |
%this function should be run before running the watchFreq functions
global ROOT
addpath([ROOT '/tools/watchFreq'])
addpath([ROOT '/shared/oscope']);
addpath([ROOT '/contrib/kamin/util']);
defineOscopeEnvironment
global DEFAULT_WATCH_NODES_PARAMS
DEFAULT_WATCH_NODES_PARAMS.fieldName='moteID';%'data'; %this is the... |
clear
load('A244_personal_G1m13_to_all_populations_21-Jul-2021.mat')
fcr_id = 1;
com_id = 33;
pooled_trials = zeros(length(all_run_rand_combined{1})*length(patient_id),length(all_run_rand_combined));
for i = 1:length(all_run_rand_combined)
trials_cell = all_run_rand_combined{i};
trial_vector = [];
... |
close all; clear; clc;
%% plot cdf and pdf
a = 2;
q = 0:.01:5; p = 0:.002:1;
f_wb = a * q.^(a - 1).* exp(-q.^ a);
F_wb = 1 - exp(-q.^a);
F_wbInv = (-log(1 - p)).^(1/a);
plot(q,f_wb);
xlabel('X','FontSize',15);
ylabel('fX','FontSize',15);
figure;
plot(q,F_wb);
xlabel('X','FontSize',15);
ylabel('FX','FontSize',15);
%f... |
function outputs = test_ran(ran, test_x)
outputs = rbfnet(ran, test_x);
end |
clear all
for ty=1:220
clear {fi u}
load(['iter' num2str(ty)])
figure(1)
clf
hold on
plot(u(25,:),'r')
plot(fi(25,:))
axis square
grid on
hold off
q=getframe;
qq(ty)=q;
end
figure(42)
clf
mm=0;
for i=1:22
%%
Xn=frame2im(qq(i));
image(Xn)
axis equal
axis off% axis equal
mk(i)=ge... |
% Copyright (C) 2013 Quan Wang <wangq10@rpi.edu>,
% Signal Analysis and Machine Perception Laboratory,
% Department of Electrical, Computer, and Systems Engineering,
% Rensselaer Polytechnic Institute, Troy, NY 12180, USA
% this is a demo showing the use of our dynamic time warping package
% we provide both Matlab ve... |
for voi_idx = 1:length(list_idx)
[handles.contour_volume handles.mask_volume first_slice last_slice] = return_volume_contour_mask(handles.VOI_obj(list_idx(voi_idx)).contour, handles);
mask = handles.mask_volume;
if sum(mask(:)) > 1
[range extended_range] = determine_mask_range(mask);
ha... |
%
% C = setMinus(A, B)
%
% @param A
% a set(1-dimensional vector)
% @param B
% another set(1-dimensinal vector)
% @return C
% a set A - B
%
function C = setMinus(A, B)
j = 1;
for i = A
if ~any(i == B)
C(j) = i;
j = j + 1;
end
end
end |
function a = task5(groups)
firstType = length(find(groups == 1));
secondType = length(find(groups == 2));
disp(firstType);
disp(secondType);
hight1 = sum(groups(find(groups == 1),2))/firstType;
hight2 = sum(groups(find(groups == 2),2))/secondType;
hight3 = sum(groups(groups(find(groups == 1),2) < 20... |
function F=FgaussPoisson(h,f)
GaussP=[-0.9061798 -0.5384693 0 0.5384693 0.9061798]; %高斯点 9次代数精度
GaussA=[0.2369269 0.4786287 0.5688889 0.4786287 0.236926];
XX = 0:h:1; %区间[0,1]
F=zeros(length(XX)-1,1);
n=length(XX)-1;
%% Part I
for i=1:... |
% a pilot script running regional searlight RSA in the whole brain
% key modifications from v1:
% 1. utilizing the 'mask' for effective voxels (those with valid 3*3*3
% voxels surrounding them)
% 2. using fastcorr.c instead of the built-in corr implementation for the
% computation of Pearson correlation coefficien... |
%function loc = DoG(im,tf)
% uses the difference of gaussian approach for finding the local feature
% points.
%
%INPUT
%-im: image (grayscale)
%-tf: flatness threshold (typically 0.01)
%
%OUTPUT
%-loc: a matrix of nx3 with n found locations with [x,y,sigma] for columns
function loc = DoG(im,tf)
loc = [];
%prior smooth... |
%% TIMESTAMP prints the current YMDHMS date as a timestamp.
function timestamp ( )
t = now;
c = datevec ( t );
s = datestr ( c, 0 );
fprintf ( 1, '%s\n', s );
return
end |
%This is the flux partitioning program. You'll need to define some
%variables before you run this program. There are two different methods to
%partition the flux. The first uses nightime NEE and a Q10 function to
%separate GEE and ER, and the second uses daytime NEE to fit a light
%response curve and then separat... |
clc
clear all
close all
load Cropcor
%FOR COUNTING EMPTY FRAMES
empt = 1;
%FOR STORING NON EMPTY CENTROID
nt_empt = 1;
file_names_clip = dir('C:\Users\Abhinav Sharma\Documents\Carnegie Mellon Research\CMU Lab Research\2016\Split Belt Analysis\Computer Vision\Paw Tracking\August 3rd 2016\Movie Frames from ClippedMOV005'... |
function data_w=Detection(A,threshold)
A=single(A);
coefficient = 4;
[W2 W3]=waveletTransform(A,1,threshold);
if coefficient==2
PJ=W2+W3;
elseif coefficient==1
PJ=sqrt(W2.*W3);
elseif coefficient==3
PJ=W2;
else
PJ=W3;
end
h=[1/16 1/4 3/8 1/4 1/16];
t1=sum(h);
t2=sum(h.^2);
t3=sum(h.^3);
c=(7*t2)/(8*t1... |
function figdi
% figure digitizer
%
% Use: 1. Input image to be digitized, e.g. test.jpg. You can type the
% name of the image in the editable text field, or push "Browse"
% button to browse the file.
% 2. Digitize left x, by pushing "Digi x1," and enter corresponding
% ... |
function QTable = initializeQTable()
% Fungsi ini bertujuan untuk menginisialisasi QTable dan mengeset nilai
% arah yang tidak bisa dilalui dengan nilai -Inf (negatif tidak
% terhingga) dan mengeset nilai 0 untuk setiap blok yang dapat dilalui
QTable = zeros(4,225); % Membuat array dengan ukuran 4... |
%{
Name: extract_sample_data.m
Author: Vidhu Nath
Purpose: This script opens 'Pogo-Experiment2-Session1-09-12-2013-SPKC01'
and extracts the first 100,000 data points as sample data, since the
original file is too large to manipulate.
%}
% clear up memory
clear;
cd('C:\code\MATLAB\CS_591_C1\');
d... |
% Final Project - Imu Data Analysis
% William Woodall & Michael Carroll
% May 6th, 2011
% MECH 7710 Optimal Control and Estimation
clear; clc; close all; format loose; format short;
%% Import Static Data
%
importfile('imu_data.csv');
%%
quat = zeros(length(data(:,1)), 4);
quat(:,1) = data(:,1);
quat(:,2) = data(... |
function trade_opt_apart(obj, direc, volume, offset, px)
% 基于trade_opt的拆单下单操作
% trade_opt_apart(obj, direc, volume, offset, px)
% wyf 20161229
% 预先判断
if ~exist('direc', 'var'), direc = '1'; end
if ~exist('volume','var'), volume = 1; end
if ~exist('offset', 'var'), offset = '1'; end
% 拆单操作
entr... |
function [image] = nonmaxsupp(image,angle)
% Perform non-max suppression on im orthogonal to theta.
if numel(angle)==1,
angle = angle .* ones(size(image));
end
% Basic requirements
mask = ones(size(image));
[height,width] = size(image);
[x,y] = meshgrid(1:width,1:height);
angle = mod(angle+pi/2,pi);
% Determine ... |
function results = rbac_eval()
%load training data set
load X_1.mat
Nusers = size(X,2);
%split data into training and test set
randUsers = randperm(Nusers);
X_train = X(:,randUsers(1:round(Nusers/2)));
X_test = X(:,randUsers(round(Nusers/2)+1:end));
%train on training data
tic
[ Z, U ] = estimateRolesAndAssignments(... |
% genPctrlrScript
global dT;
dT = 0.1;
Pctrlr = PpolicyNonLinOptInit(10,30,diag([1,1,0.1,0.1]),1,100,2,0.2,3);
save('examples/Pctrlr_CovGamma_1','Pctrlr');
%ch,ph,xWt,uWt,gWt,s_q,s_r,ctrlChoice
Pctrlr = PpolicyNonLinOptInit(10,30,diag([1,1,0.1,0.1]),1,1,1,0.2,3);
save('examples/Pctrlr_CovGamma_2','Pctrlr');
%ch,ph,x... |
function flag = reconfVMAdd( vmId, mode )
%RECONFVMADD this function increment the CPU amount assigned to the VM
% USAGE : flag = reconfVMAdd( vmId, mode )
% INPUT:
% vmId - the id of the virtual machine
% mode - the modality of execution, it can be 'check' if we want to test
% the applicability of the action, ... |
function[punta_px, punta_py, datos_x_1, datos_y_1, recta_1, datos_x_2, datos_y_2, recta_2] = testeo_cal_2_cam_funcion(directorio, camara, tag_x, tag_y, graficos, guardar)
% graficos vale 'on', 'off'
% guardar vale 1 o 0
dir_camara = ['camara_' camara '\'];
set(0,'DefaultFigureVisible', grafico... |
%% enkripsi dengan substitusi caesar
clc;
clear;
% inputan plaintext & key
txt='MUHAMADRIZKYFAJARFEBRIAN^-^Ditambahin_bEn_tAMBAh_PanjanG_daN_AngelFP-87-94-93-94-MB114.125.9.97'
key=2000;
% Proses Enkripsi
%%transform abjad --> angka
if ( (txt < '0') | (txt > 'z') ),
error('Text character out of range a-z');
end;
y=t... |
function [N, D, M] = GetDimensions(x)
% [N, D, M] = GetDimensions(x)
%
% Returns the size and dimension of a signal x.
%
% x: The signal.
%
% N: The dimensions of x.
% D: The number of dimensions of x (length of N).
% M: Corresponding number of wavelet subbands per
% scale for a separable wa... |
% localize the neuron
cid_list=h5read('transient_6.hdf5','/cluster_id');
path_list=h5read('transient_6.hdf5','/path');
%reg_list=h5read('transient_6.hdf5','/reg'); % positive control
pathFullList = h5read('path2tid.hdf5','/path');
midList = h5read('path2tid.hdf5','/mid');
tidList = h5read('path2tid.hdf5','/ti... |
% Lec 6.1 : Regression and Interpolation : Introduction
function yint = ndd(x,y,xint)
N = length(x);
%% Dividend Difference Coefficients
D = zeros(N);
colD = y;
D(:,1) = colD;
for i = 2:N
colD = diff(colD)./(x(i:end)-x(1:N+1-i));
D(1:N+1-i,i) = colD;
end
coef = D(1,:);
%% Interpolate
xq = [1;cumprod(xint-... |
function snr_im=compute_snr(In)
% In=rand(128,128,10,6);
In=reshape(In,size(In,1)*size(In,2),size(In,3),size(In,4));
for sl=2:size(In,2)-2
for dir=1:size(In,3)
roi_input(:,sl,dir)=In(:,sl,dir)>0.2;
% figure; imagesc(roi_input); colormap(gray); colorbar;
roi_bg(:,sl,dir)=In(:,sl,dir)-roi_input(:,... |
function [tmax,S,K]=moments(a,index)
%--------------------------------------------------------------------------
%calculate tmax, skewness, and kurtosis of Moment release
%Input: a [Array, earthquake catalog]
%format YYYY MM DD HR MIN SEC.MSEC LAT LON DEPTH MAG
%It doesn't matter if there are more columns
%Here ... |
function modify_map(cont,subc,P_l)
% delete lost states in map container
idx = find(subc.idx_lost==1);
for i = 1:length(idx)
cont.subcontrollers.remove(subc.set(idx(i)));
end
% modify "modified states" in map container
idx = find((subc.idx_mod&~subc.idx_lost));
for i = 1:length(... |
clearvars -except PacingFrequency AcquisitionFrequency main_folder cutoff scripts_folder atLeast1Beat non_regular_beat regular_cell_number irrregular_cell_number
res_folder = cd;
disp('Non Regular Beats Analysis:')
if exist('Calcium_Traces.xlsx')
[ca_traces] = xlsread('Calcium_Traces.xlsx');
% N_cell = size(... |
function [q] = u2q(u, theta)
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
q = [cos(theta/2); u(1)*sin(theta/2);
u(2)*sin(theta/2);u(3)*sin(theta/2)];
end
|
function testt()
[filename, pathname] = uigetfile('*.txt','请选择一个拓扑数据txt文件');
if isequal(filename,0)
return;
end
E = load(fullfile(pathname, filename)); % 加载网络
disp(E);
end |
function factors = ComputeAllSimilarityFactors (images, K)
% This function computes all of the similarity factors for the images in
% one word.
%
% Input:
% images: An array of structs containing the 'img' value for each
% character in the word.
% K: The alphabet size (accessible in imageModel.K for the provide... |
% Name: Zheng Wen
% USC ID: 7112807212
% USC Email: zwen1423@usc.edu
% Submission Date 3/19/2020
function energy_row = featureAverage_abs_win(feature_map, rad)
[m, n, c] = size(feature_map);
energy_map = zeros(m,n,c);
for chan=1:c
cur_fm = feature_map(:, :, chan);
padd_fm = reflectionPad(cur_fm,r... |
%> \brief determine the time interval
function [ dt ] = matUpdateTimeInterval( obj, fphys )
dt = nan;
for m = 1:obj.Nmesh
dx = sqrt( obj.meshUnion(m).LAV );
N = obj.meshUnion(m).cell.N;
dtm = mxUpdateTimeInterval2d( obj.hmin, ...
obj.gra, N, dx, obj.meshUnion(m).status, fphys{m} );
if ( dtm... |
function SurPeriods = PSMLatency( data, DPeriod, BLPeriod, SearchPeriod, BinSize, pVal, DEBUG )
%% SurPeriods = PSMLatency( data, DPeriod, BLPeriod, SearchPeriod[, BinSize=2, pVal=0.05, DEBUG=false] );
% Using the Poisson Surprise Method (Legendy and Salcman, 1985) to detect elevated activities. Coded by Bin Yang, ... |
% process_iridium_apf11 function
%
% This function does all decoding for one profile and returns the float
% structure to the main which is embedded in strip_argos_msg. APF11s are
% fundamentally different in how they deliver the data so this needs to be
% handled in a separate script, even though these are iridium f... |
if SaveData == 1
savefilename = ['_Scratch_f',num2str(f),...
'_A_c',num2str(A_c),...
'_d_c',num2str(d_c)];
save(['scratch/Parameters',savefilename,'.mat'],'-v7.3')
fid_Data = fopen(['scratch/Data',savefilename,'.txt'],'w');
fid_PanelProp = fopen(['scratch/PanelProp',sav... |
function f = cheb_interp(cheb_x, x_k, N)
cheb_x
poly_params = polyfit(cheb_x, x_k, N);
x = linspace(cheb_x(1), cheb_x(N+1), (cheb_x(N+1) - cheb_x(1))*1000);
f = zeros('like', x);
for i = 1:length(x)
temp = 0;
for j = 1:length(poly_params)
temp = temp + poly_params(j)*(x(i)^(N... |
function [J] = computeError(hx, y)
% Initialize some useful values
m = length(y); % number of training examples
J = 0;
error = hx - y;
J = (error' * error) / (2 * m);
end
|
function [OutpFile,Info] = publish(This,OutpFile,varargin)
% publish Help provided in +report/publish.
% -IRIS Macroeconomic Modeling Toolbox.
% -Copyright (c) 2007-2017 IRIS Solutions Team.
% The following options passed down to latex.compilepdf:
% * `'cd='` (obsolete)
% * `'display='`
% * `'rerun='`
% an... |
function [g, J] = gradient(x, fx, cx, h, problem)
%Input:
%x : point of size n*1
%fx, cx : values of f and c at x
%h : steps, i.e. a vector giving a step for each component of x
%problem : it must be the same thing as in the SQP function
%Output :
%g : gradient of f at x
%J : the Jacobian matrix of c at x
n = size(x, ... |
%Gaussian Operator
%Computes the diffusion by calculating the neighbors each element at at
%time within the grid
function cells = GaussianOperator(cells)
sourceVal = 5000;
%ScaleFactor is rate of change
scaleFactor = 4;
rows = size(cells,1);
cols = size(cells,2);
for r = 1:rows
for c = 1:cols
%IF NOT A SOURC... |
function [accepted_RR_pct,accepted_RR_count] = mvqrs_RRquality(Annotation,ValidSignals,Fm)
%
% [accepted_RR_pct,accepted_RR_count] = mvqrs_RRquality(Annotation_full,ValidSignals,Fm)
%
% Applies the beat annotation correction using a reference ECG electrode.
% Necessary for blood pressure like signals with expectant pul... |
function cmap = loadPreferredCmap()
formatSpec = '%s %.3f %.3f %.3f';
fid = fopen([fileparts(mfilename('fullpath')) filesep 'color_profiles.txt']);
M = textscan(fid,formatSpec);
for i = 1:length(M{1})
cmap.(M{1}{i}) = [M{2}(i) M{3}(i) M{4}(i)];
end
fclose(fid); |
addpath('../')
region = fetchregion([47.037647, 47.577722], [-89.048325, -87.543198], ...
'display', true);
elevData = region.readelevation([47.037647, 47.577722], ...
[-89.048325, -87.543198], ...
'display', true, ...
... |
function e = end(a, k, n)
% End indexing for quaternion arrays.
% Copyright © 2005, 2008, 2010 Stephen J. Sangwine and Nicolas Le Bihan.
% See the file : Copyright.m for further details.
% This function is implemented by calling the Matlab builtin function on
% the x component of a. This means the complexities of imp... |
function [obj] = regObjective(obj, funcs)
% This method registers the information of a NLP function as a
% cost function
%
% Parameters:
% funcs: a list of objective functions @type NlpFunction
%
% Parameters:
% funcs: new NLP variables @type NlpFunction
%
% @note We always ... |
function [P] = unmixP_NCM(X,E,Sigma,Parameters)
%% Input:
% X - d-by-N HSI data, matrix
% E - d-by-M endmember mean set, matrix
% Sigma - d-by-d-by-M endmember covariance set, matrix
% Output:
% P - M-by-N proportion matrix
% Author: Alina Zare et al. Rewriten by Sheng Zou
% Department of E... |
load('X.mat');
[row,col] = size(X);
T0=zeros(2000,10);
T0(:,1)=1;
T1=zeros(1979,10);
T1(:,2)=1;
T2=zeros(1999,10);
T2(:,3)=1;
T3=zeros(2000,10);
T3(:,4)=1;
T4=zeros(2000,10);
T4(:,5)=1;
T5=zeros(2000,10);
T5(:,6)=1;
T6=zeros(2000,10);
T6(:,7)=1;
T7=zeros(2000,10);
T7(:,8)=1;
T8=zeros(2000,10);
T8(:,9)=1;
T9=zeros(2000,... |
function data = read_itx(filename)
% This function reads data from the IGOR text file (.itx).
fid = fopen(filename);
% headerrows = 9;
% format = repmat('%f ', 1, Ncols);
% data = cell2mat(textscan(fid, format, 'MultipleDelimsAsOne',true, 'Delimiter', ' ', 'headerLines', headerrows));
while ~strcmp(fgetl(fid),'BE... |
function hmm = mlhmmmar (X,T,hmm0,Gamma,completelags)
% Given the state time courses estimation, does a last estimation of each MAR using (local) ML
%
% INPUT
% X observations
% T length of series
% hmm0 HMM-MAR structure
% Gamma p(state given X) - has to be fully defined
% comp... |
% task_generator.m
% generate synthetic task sets
%% Parameters
N = 5; % number of tasks
U_bound = N * (power(2, 1/N) - 1); % utilization boundary
U_bar = 0.6; % desired utilization
Ti_lower = 100; % taskset period upper bound (unit:10us)
Ti_upper... |
%% 3D walker with torso
% John Rebula
% States:
% pelvis position, (q1, q2, q3)
% pelvis roll angle, (q4)
% stance and swing leg angle, (q5, q6)
%
% [pelvisX, pelvisY, pelvisZ,
% pelvisRoll,
% stanceTheta, swingTheta];
%
% addpath(genpath('C:\Users\hbclStudent\Desktop\control'));
% addpath(genpath('C... |
function [Selector,Style] = ExpandSelector(OldSelector,OldStyle,UserOptions)
NotStyle = setdiff(1:size(UserOptions,2),OldStyle.Location);
Selector = UserOptions(NotStyle);
Selector(end+1) = cellstr(OldSelector);
Style = rmfield(OldStyle,'Location');
end |
function [fill] = filter_plot_spectrum( b,a,x,Fs,name,noise )
%filters data and plots the filtered spectrum, takes transfer function
%coefficients, b & a, data x, and sampling frequency Fs
%returns the filtered data to the user
%This program plots the filtered spectrum
%filter the data
fill = filter(b,a,x);
%create ... |
% where data is stored (that you download from figshare)
dataroot = '/media/carsen/DATA2/grive/10krecordings/imgResp/';
% where processed data and results are saved
matroot = '/media/carsen/DATA2/grive/10krecordings/stimResults/';
%% makes fig1
fig1(dataroot, matroot);
%% makes fig2
fig2(dataroot, matroot);
... |
function raiz = diffNumerica3PontosExt (funcao, x1, distH)
% x1 = Ponto 1
% distH = o H, a distancia entre os pontos
% Funcao
% pkg load symbolic
% syms x
% ff=(x)^3 - 9*(x) + 3
% fd=diff(ff)
% ans fd - Exibe a Funcao derivada
% fd=diff(ff,2)
% ans fd - Exibe a Funcao derivada segunda
%ex: ... |
function [Del,z,hInitial] = OneDGridGen(delt,n,L,viz,type)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% OneDGridGen produces a one dimensional grid that can either be uniform or
% take on geometric properties depending on the user input. The function is
% al... |
function reorderPlots(self, reorder)
temphp = self.hp;
for i = 1:self.N
% delete(self.hp{i});
self.hp(i) = temphp(reorder(i));
end
set(self.haxes, 'Children', flipud(self.hp));
self.updateData();
end |
function batch_calculate_spike_ephys_properties
cells = dir('*.mat');
for i=1:length(cells)
load(cells(i).name);
[name sweep num_spikes AP_max AP_amplitude AP_width] = calculate_spike_ephys_properties(Cell);
end |
function [t, y] = forward_euler(f, tspan, y_0, steps)
t = linspace(tspan(1), tspan(2), steps);
size_y_0 = size(y_0);
size_t_0 = size(t);
y = zeros(size_y_0(1), size_t_0(2));
y(:, 1) = y_0;
for i = 2:length(t)
y(:, i) = y(:, i - 1) + (t(i) - t(i - 1)) * f(t(i - 1), y(:, i - 1));
end
... |
function [cmat,meanacc,stdacc]=crossvallclassifier(x,y,ncross,ntrials)
% initialize the random number generator to a known value
rand('twister',666);
% initialize the combined confusion matrix (for all trials) to zeros
combconf = zeros(max(y));
for i=1:ntrials
[confmat,accuracy]=trainandtest(x,y,ncross);
% ... |
function collectFeaturesHTS(func,dim,ssize)
% -------------------------------------------------------------------------
% Preliminaries
localSetup; % Run script with local setup
FILENAME = ['_D' num2str(dim) '_C' num2str(ssize) '.mat']; % Parameters of the experiment
%... |
clear all
%% E3632A
DCPowerSupplyObject = visa('agilent','ASRL3::INSTR');
fopen(DCPowerSupplyObject);
fprintf(DCPowerSupplyObject,'SYSTem:LOCal');
pause(0.1);
fprintf(DCPowerSupplyObject,'*RCL 1');
pause(0.1);
fprintf(DCPowerSupplyObject,'SYSTem:REMote');
pause(0.1);
%fprintf(DCPowerSupplyObject,'VOLT:PROT 30');
%fpr... |
function d=midfilt(x, n)
[M,N]=size(x);
x1=x;
x2=x1;
for i=1:M-n+1
for j=1:N-n+1
c=x1(i:i+n-1,j:j+n-1);
e=c(1,:);
for k=2:n
e=[e,c(k,:)];
end
x2(i+(n-1)/2,j+(n-1)/2)=median(e);
end
end
d=x2;
|
function y = Jacobi(A, x, b)
N = length(x);
y = zeros(N,1);
for iter=1:100000
for k = 1:N
suma =0;
for l= 1:N
if k ~= l
suma = suma + A(k,l)*x(l);
end;
end;
y(k) = (b(k) - suma)/A(k,k);
end;
if sqrt(norm(x-y)) < 1e-6
break;... |
close all; clear all;
gt_dir = '/home/zxi/refinenet/datasets/ADE20K_hand_images/SegmentationClass/test';
pred_dir = '/home/zxi/refinenet/cache_data/Multiscale_evaluation_refinenet/ade_on_ade/test/predict_result_mask';
im_dir = '/home/zxi/refinenet/datasets/ADE20K_hand_images/JPEGImages/test';
dir1 = dir(fullfile(pre... |
function diff_fireflux_small(timestep)
% test if parallel runs give the same results
% runs={'12x1','6x1','1x12','3x4','3x4a','4x3'}
% runs={'1x1','6x1','1x12.a','1x12','3x4','3x4a','4x3'}
runs={'1x1a','1x12a','3x4a','12x1','4x3','1x12'}
vars={'UAH','VAH','UF','VF'}
root='fireflux_small-';
wrffile='wrfrst_d01_2006-02-2... |
function xy(dim)
x=0;
while x>=-1
[x y] = ginput(1)
end
return
|
function SCHED_assert_test_archs()
arch.type = 'scheduling';
tmp = SCHED_ref_arch;
arch.seq = tmp.arch;
assert_architecture(arch);
n = length(arch.seq);
arch.seq = 1:n;% in order
assert_architecture(arch);
end |
function [Position, Lidar, Sonar] = ConvertData(PositionRAW, LidarRAW, SonarRAW)
%ConvertData Function to convert the raw data from the microcontroller
% It converts the raw data from the microcontroller and process it to get
% the true values
% Position conversion
TotalSteps = 96;
PositionScale = (2*pi()/T... |
% Loading Data
[datamonoduring, Fs] = converttomono('/home/alli/longswampyrecording_music.wav');
[background, ~] = converttomono('/home/alli/background_flute_swamp.wav');
% Filter out Data Below 100 Hz and above 15kHz
datamonoduring = bandpass(datamonoduring,[4000 10000],Fs);
background = bandpass(background,[4000 1000... |
function [net_charge, Vp, Vn] = subinit_core(save_name, a, b)
%UNTITLED5 此处显示有关此函数的摘要
% 此处显示详细说明
temp_a = a;
temp_b = b;
temp_save_name = save_name;
load('./source/simulation_res/intermediate_file/init_data.mat');
a = temp_a;
b = temp_b;
save_name = temp_save_name;
clear temp_a;
clear temp_b;
clear temp_save_name;
V... |
function label = labelFunction(mask,deltaHue,tc)
numRow = size(mask,1);
numColumn = size(mask,2);
label = zeros(numRow,numColumn);
for m = 1:numRow
counter = 0;
for n = 1:numColumn
if (mask(m,n) == 1) && (deltaHue(m,n) < tc) && (deltaHue(m,n) >= 0)
label(m,n) = label(m,n-1);
else i... |
% 2019-09-10 Dylan Royston
%
% 2018-04-10 Dylan Royston
% Shell script for using PCA to sort single-unit spikes
%
% For SM data, an entire session (day) should be sorted at once, which will be slow/data-intensive
% Possible alternate for future update: sort 1 session and just apply that sort to subsequent trials
%
%
%... |
function uq_Kriging_display(KRGModel, outArray, varargin)
% UQ_KRIGING_DISPLAY(KRGMODEL,OUTARRAY,VARARGIN): plot the mean and
% variance of the Kriging predictor specified by the Kriging model
% KRGMODEL. Only works for 1- and 2-D inputs.
%
% See also: UQ_PCE_DISPLAY, UQ_DISPLAY_UQ_METAMODEL
%% Parameters
N1d = 500;
... |
function idx = simplemkinterleave(Ncbps)
%--------------------------------------------------------------------------
% MKINTERLEAVE Make interleaver indices.
%
% IDX = SIMPLEMKINTERLEAVE(NCBPS) generates a vector to map NCBPS
% bits according to the block interleaver described in
% IEEE-802.11a. NCBPS i... |
function [T, coeff, s, len] = getpoint(h, hext, th, mval)
[y x] = find(hext == mval);
y = y(1); x = x(1);
s = mval;
len = 1;
coeff = {[y x; 0.5 0.5]};
T = myTrajRender(size(h), cellfun(@(x)fliplr(x).', coeff, 'UniformOutput', false));
T = T / sum(T(:)); |
function [] = BrainView(pos,nodedata,edgedata,varargin)
% This function produces a 3D plot of brain data, given the 3D positions of
% brain nodes and data values associated with each node.
% REQUIRED INPUTS: "pos" : an nx3 matrix containing (x,y,z) coordinates for
% each of n nodes
% ... |
function [ asset ] = update_SingleAsset( asset, indicator, indName )
%UPDATE_SINGLEASSET Summary of this function goes here
% Detailed explanation goes here
%%
asset.tstypes = horzcat(asset.tstypes,{indName});
asset.data = horzcat(asset.data, indicator);
asset.N = asset.N +1;
end
|
A=input('Provide a word :','s');
A
B=input('State the number of letters in the word');
count=0;
for i=1:B
x=A(i);
x1=num2str(x);
if x1(i)=='U'||x1(i)=='S'
count=count+1;
y(count)=x;
end
end
count
|
% % LAB3 Ex.5 - DESAFIO
clear all;
close all;
load('ecos_ultrassom.mat');
% % a)
for i=1:size(ecos,1)
[c{i},lag] = xcorr(pulse,ecos(i,:));
peaks{i} = findpeaks(c{i},'Minpeakheight',200);
numpeaks(i) = length(peaks{i});
end
% % b)
m = min(numpeaks); % Número mínimo de reflexões em cada eco, ... |
function rssi_per_together()
scrsz = [ 1 1 1600 1200 ];
figure('Visible', 'off','Position',[1 scrsz(4) scrsz(3) scrsz(4)])
set(gcf,'paperpositionmode','auto');
set(gca,'fontsize',16);
mycolor=colormap(lines(16));
lg={};
index=1;
for filenum=1:15
sname=strcat( num2str(filenum), '_sender.dat');
rname... |
function statsUnivariateMenu(~,~,fig)
%statsUnivariateMenu - menu for drawing / displaying univariate results
% Get the guidata
sts = guidata(fig.fig);
if isempty(sts)
return
end
% Draw the window to help control the colours / groups / etc
[window] = manipulateWindow(fig,sts);
% Set the callback for the finish b... |
% This demo uses the yeast data.
% The data is already split into training and test set, and each set is
% in the form of an input data matrix and a output labels vector.
% Parameter selection and initial RLS estimation is carried out on a
% first subset of the training set.
% Recursive RLS is run on the remainder ... |
% % AUTHOR: KWM
% Comment: writing my own for loop for k=2:10 or so proved difficult, where
% I ultimately gave up because starting at k=3 there were often a cluster
% centroid with no data points that were closer to it than any other
% centroid. This gave run time errors for empty variables and I didn't
% want to sink... |
function obj = addRunningCost(obj, func, deps, auxdata, load_path)
% Add a running cost to the problem
%
% Parameters:
% func: a symbolic function to be integrated @type SymFunction
% deps: a list of dependent variables @type cellstr
% auxdata: auxilary constant data to be feed in the function
... |
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