text stringlengths 8 6.12M |
|---|
clearvars
close all
clc
res = suma_z_przedzialu_f2(8);
disp(res);
|
N = 512;
n = 0:1:N-1;
x = cos((2*pi*n)/10);
fprintf("X = DFTsum(x)")
t = cputime; X = DFTsum(x);cputime-t
A = DFTmatrix(N);
x2 = transpose(x);
fprintf("X = A * x")
t = cputime; X2 = A * x2;cputime-t |
classdef nuclearIdentity < basicIdentity & nuclearProxDual
properties
end
methods
function obj = nuclearIdentity(alpha,dims)
obj = obj@basicIdentity(alpha,dims);
end
end
end
|
% function out = popup_obstacles(u)
global dt p_i p_f p_task NUM_UAV NUM_TASK cnt chk_range
global wpt_list task_list wpt popup
%
% load Obstacles_LLH.mat
% Obstacles_LLH(:,2:3) = Obstacles_LLH(:,2:3) ;
D2R = pi/180;
scale = 1 ;
load Obstacles_LLH.mat
% Obstacles_LLH(:,2:3) = Obstacles_LLH(:... |
function daneCut=prepareData(subj)
electrodeSet=[10,15,21,23,28,39]; %81
Fs = 256; % Sampling Frequency
N = 4; % Order
Fc1 = 49; % First Cutoff Frequency
Fc2 = 51; % Second Cutoff Frequency
h = fdesign.bandstop('N,F3dB1,F3dB2', N, Fc1, Fc2, Fs);
Hd = design(h, 'butter');
Fc1 = 8; % First Cutoff Frequency
... |
% Check whether a sequence of number is graphical, i.e. a graph with this degree sequence exists
% INPUTs: a sequence (vector) of numbers
% OUTPUTs: boolean, true or false
% Note: not generalized to directed graph degree sequences
% Source: Erdős, P. and Gallai, T. "Graphs with Prescribed Degrees of Vertices" [Hungaria... |
%PSO
%Copyright:jiaowenlong
%2017.4.17
clc
clear
%设置问题相关变量
popsize=2000;%个体数量
degree=100;%循环次数
[popmax,vmax]=Init(popsize);%初始化求最大值群体的位置和速度
[popmin,vmin]=Init(popsize);%初始化求最小值群体的位置和速度
%计算初始群体的适应度,群体最优个体
[value_max,gbestvaluemax,gbestmax]=calfitvaluemax(popmax);
[value_min,gbestvaluemin,gbestmin]=ca... |
% Loads s-parameters from adress "path" and antennas s1 and s2
% Returns an array with two columns
% Column 1 is the frequency
% Column 2 is the complex S parameter
function [data] = loadData(path,s1,s2)
currDir = pwd;
cd(path);
sParam = strcat('S',num2str(s1),'_',num2str(s2));
fileName = strcat(sPar... |
function ijObj = ijStart
%ijStart: open ImageJ's main menu
%
% $Id: ijarray2plus.m 311 2008-07-31 20:25:12Z histed $
%global IMAGEJ_OBJ
%if isempty(IMAGEJ_OBJ)
% ijObj = ij.ImageJ();
% IMAGEJ_OBJ=ijObj;
%else
% ijObj = IMAGEJ_OBJ;
%end
%ijObj =
ijObj = ij.IJ.getInstance;
if isempty(ijObj)
ijObj = ij.Imag... |
function [] = parseTiles(scanFile, regions, wavelengths, varargin)
p = inputParser;
p.addRequired('scanFile', '', @ischar);
p.addRequired('regions');
p.addRequired('wavelengths', @(x)validateattributes(x,{'numeric'}));
p.addParameter('parse',true,@islogical);
p.addParameter('inDir', '', @i... |
% Finds various properties of a drone configuration
% Clear workspace and command window
clc
clear
fprintf('>> %s\n', mfilename)
% Distances travelled:
% Vehicle has to travel the listed distance with the payload, it at
% the target, then travel the listed distance without the payload
% These distances are in... |
## Copyright (C) 2023 Gabriel Zalles
##
## This program is free software: you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation, either version 3 of the License, or
## (at your option) any later version.
##
## This program is distri... |
% For each mask (ROI),
% computes BIC for each model for each subject
% populates the log model evidences array (rows = subjects, columns =
% models) which gets passed to BMS
% which estimates the excedence probabilities (????)
%
%
% which ROIs to look at (one at a time) as paths to nifti files
roi_m... |
% CMPU250 - Professor Eric Aaron
% HW2 - Kyle Patterson
% April 2018
% ####################################################################
% ### ###
% # ... |
function score=DoG_based(im1,im2)
%% parameters
sigma1 = 0.65;
sigma2 = 0.2;
ksize = 5;
num = 100;
pad = 24;
imsize = 160;
blm = 0.33;
%% reading images and create image for each layer
a0 = imread(im1);
a0 = imresize(a0,[imsize,imsize]);
a0pad = imgpadding(a0,pad);
a1 = calc_next(a0);
a1pad = imgpadding(a1,pad);
a2 =... |
function d = distance(x,y,x0,y0)
d = sqrt((x0-x)^2+(y0-y)^2);
|
function nii_subtract (P,N, outname);
% Adds all 'P'ositive images, Subtracts all 'N'egative images: saves result
% P = filenames to add (optional)
% N = filenames to subtract (optional)
% outname = filename of output (optional)
% if not specified, prefix 'sum' appended to first filename
%
% Example
% nii_su... |
function [ORFlength, start_pos, stop_pos] = findORF(dnaseq)
%Function to find the length of the longest open reading frame of a
%sequences called dnaseq
dnaseq = upper(dnaseq);
%fill in here. '
startCodon = 'ATG';
stopCodons = {'TAA'; 'TGA'; 'TAG'};
finalStart = 1;
finalStop = 0;
found = false; % this becomes true once... |
%Stack several green functions
function GFstack
%All Green functions' name are saved in gfname.txt
GfFile='gfname1.txt'
seisfile = cell(1,1);
% read green file name to seisfile
fdf = fopen(GfFile,'r');
kk = 1;
while feof(fdf) ~= 1
seisfile{kk} = fscanf(fdf, '%s', 1);
kk = kk + 1;
end
seisfile
FileNum = kk - 1;... |
clear all
% close all
clc
tic
%% plot data
data = csvread('data/VehA_dip_min.csv');
data = data(300:1200,:);
data(:,1) = data(:,1) - data(1,1); % normalize time stamps
% save('data.csv','data')
% figure;
% plot(data(:,1),data(:,2)); % follower speed m/s
% hold on
% plot(data(:,1),data(:,3)); % leader speed m/s
% % pl... |
function sinoOut = binningDetecotRows( sinoIn, k )
% combine multiples rows of the detector for FDK method
%
% Meng Wu at Stanford Univeristy
% 2012 - 2013
if nargin < 2
k = 2;
end
if k <= 1
sinoOut = sinoIn;
return;
end
if mod( k , 2) == 0
h = [ 1/2; ones(k - 1, 1); 1/2 ] / k ;
else
h = ones(k,... |
function [y_puss,y_puss_mlpg] = parametric_uss(units_list,units_path,spssynthdir,fname)
% Purpose: Synthesize from parametric form of units
zstr_full = 'u_000000';
mgc_path = strcat(units_path,'mgc/');
lf0_path = strcat(units_path,'lf0/');
bap_path = strcat(units_path,'bap/');
Y_mgc = [];
Y_lf0 ... |
% Code used for the analysis of aircraft loads.
% Calculate cosines for each beam
for i = 1:size(beams,1);
x1 = nodes(beams(i,2),2);
x2 = nodes(beams(i,3),2);
x3 = nodes(beams(i,4),2);
y1 = nodes(beams(i,2),3);
y2 = nodes(beams(i,3),3);
y3 = nodes(beams(i,4),3);
z1 = nodes(beams(i... |
function data = CGNG_data
disp('Welcome to our Experiment!');
data.nr = input('Subject Number: ');
data.training = input('Training?: (0/1) ');
data.baseline = input('Memory Baseline? (0/1): ');
if data.baseline == 0
data.colors = input('Colors? (0/1): ');
end
if data.training == 0
data.age = input('Age? ');
... |
% Clear command window:
clc;
% Close figures:
try
close('all', 'hidden');
catch % do nothing
end
% Closing figures might fail if the CloseRequestFcn of a figure
% blocks the execution. Fallback:
AllFig = allchild(0);
if ~isempty(AllFig)
set(AllFig, 'CloseRequestFcn', '', 'DeleteFcn', '');
delete(AllFig);
end... |
%input I, matrice dell'immagine
%input hp, (~8) spatial radius
%input hc, (~16) range radius
%input sc, (~16) scala clisterizzazione(risoluzione di grigi o colori)
%input mc, (~50) segmenti con meno mc pixel vengono ignorati
%output MSF, immagine filtrata con mean shift
%output MSC, collezione dei cluster, gray-->MSC m... |
function ThisSolution = callHeuBF(ThisInsData)
%callHeuBF 调用BF算法 TODO 增加预处理后的影响
% 输入
% ThisSortedInsData 算法计算数据集
% 输出
% ThisSolution 包含*解*的数据集结构体
%% function callHeuBF(ThisInsData)
% Local Functions:
% # getAvailableVehicles
% # findBestFitVehicle TODO 待写 ThisSortedInsData
This... |
% Verification of sampling theorem
tfinal = 0.05;
t = 0:0.00005:tfinal;
fd = input('Enter the analog frequency :');
xt = sin(2*pi*fd*t);
fs1 = 1.3*fd;
n1 = 0:1/fs1:tfinal;
xn = sin(2*pi*fs1*n1);
subplot(3,1,1);
plot(t,xt,'b',n1,xn,'r*-');
title('Undersampling plot ');
fs2 = 2*fd;
n2 = 0:1/fs2:tfinal;
xn = sin(2*pi*... |
function [training_set_norm, testing_set_norm] = split_train_test(features)
% load new_features_63744
%Splitting the dataset into train and test
training_set = zeros(32*15, size(features,2));
training_set_norm = zeros(32*15, size(features,2));
testing_set = zeros(637-(32*15),size(features,2));
testing_set_nor... |
% To make N*M classification
% Idx1 is labels of N
% Idx2 is labels of M
% re_Idx is labels of final
function re_Idx = classify_xu(Idx1,Idx2,N,M)
re_Idx = zeros(size(Idx1));
for i = 1:N
for j = 1:M
for t = 1:365
if Idx1(t) == i && Idx2(t) == j
re_Idx(t) = ... |
function [result, success] = attack(mpc, x, alg, verbose)
if (nargin < 4), verbose = 0; end
if (nargin < 3), alg = 'pdipm'; end % or tralm
result = mpc;
result.branch(:, 3:4) = [x x] .* result.branch(:, 3:4);
opt = mpoption('out.all', 0, 'verbose', 0, 'opf.ac.solver', alg);
result = runopf(resul... |
function [mrk,cnt,mnt] = tl_proc_loadData(subj_code,phase_name)
if nargin<2
[mrk1,cnt1,mnt] = tl_proc_loadData(subj_code,'Phase1');
[mrk2,cnt2] = tl_proc_loadData(subj_code,'Phase2');
[mrk3,cnt3] = tl_proc_loadData(subj_code,'RT');
fprintf('Concatenating phases...\n')
if not(isempty(mrk3))
... |
function [V_Tr] = Calc_V(AcelT,DcelT,PulsesIni,PulsesFin,Time)
%Poli4_Pos(t0,t1,x_0,v_0,v_1,a_0,a_1)
%Poli1_Pos(t0,x_0,v_0)
%Rep_Tr(Tr1,Tr2,Tr3,t0,t1,t2,t3)
%Pulses(t0,t1,x_0,v_0,v_1,a_0,a_1)
syms v t;
PulsesAcel=Pulses(0,AcelT,0,0,v,0,0);
PulsesDcel=Pulses(0,DcelT,0,v,0,0,0);
Total_Pulses=PulsesAcel+PulsesDcel... |
% Creates folder if does not exist
function folder_create(folder)
if(exist(folder,'dir')~=7)
success=mkdir(folder);
if(success==0); fprintf('impossible to create directory %s\n',folder); end
end
end
|
function makeTexture_GA
%make closed contour stimuli for the V4 GA; generate mask in addition if
%selected
%we use an offscreen window to generate these textures so that we can
%activate anti-aliasing
global screenPTROff screenNum Mstate
%get screen size
screenRes = Screen('Resolution',screenNum);
%get parameters... |
% fclose(ser);
delete(instrfindall);
instrfindall
clc
|
function pass = uq_SVR_test_AllCombined( level )
%UQ_SVR_TEST_ALLCOMBINED test (most of) all possible combinations of
%major parameters. The search space has been reduced so that the results
%may not be meaningful. The aim here is only to make sure that everything
%wil run.
% Input : level
% - normal: all combined o... |
function [rotationMtx, movedPoints] = fitPointsToScalp(scalp,fiducials,electrodes,headshape)
%fitPointsToScalp - Find a rigid transformation the best fits 2 sets of points
%function [rotationMtx, movedPoints] = fitPointsToScalp(scalp,fiducials,electrodes,headshape)
% Uses function: rigidRotate
%
% scalp = face vert... |
%
% input: m=matrice non orientata
%
% orienta la matrice rispettando la sincronizzazione delle DM
% cioè in tutti gli angoli ci sono 1, mentre in alto a destra 0
%
% output: a=matrice orientata
%
function [a] = orientaDM(m)
l=length(m);
a=zeros(l,l);
%caso 1: lo 0 è nell'angolo in alto a sinistra
if (m(1,1)... |
function [ xm ] = deviation_rayon( x,u,z,thetaD )
%DEVIATION_RAYON Summary of this function goes here
% Detailed explanation goes here
xs = x - z*(x-u);
thetaM = atan(x-u) + thetaD;
xm = xs + z*tan(thetaM);
end
|
Sample_time = 1;
constant_model = containers.Map;
constant_model("1") = [4 6];
constant_model("0") = [2 3];
t_data = unifrnd (0, 0.5, 20, 1);
ret = random_set_partial_sequence( t_data, constant_model );
disp(t_data);
disp(ret);
|
function mu = getmu(q0,x,y)
% mu = getmu(q0,x,y)
TWratio = 2.2;
g = 9.801;
yt = 15e3;
Is = 2156;
vt = 420;
mu = TWratio * g * yt * (1/tand(q0)-1/tand(cal_deg(0,0,x,y)))/Is/vt;
end
|
function [outputImage] = enhanceHistogram( originalImage )
%EnhanceHistogram function uses histogram equalization to enhance images.
% Histogram equalization on greyscale images.
greyscaleImage=rgb2gray(originalImage);
outputImage = histeq(greyscaleImage);
end
|
function auc = auc(vector)
%this function returns a scalar value that tells us the area under the
%curve for the following curve made from the input vector : we have the
%number of values in vector that are greater than a threshold v/s the
%threshold. The assumption is that all values in vector lie between 0 and
%1.
%... |
function DETS = runfacedet(I,imgpath)
fileID = fopen('varin_2.txt','r'); % image full path
varin_2 = fgets(fileID);
fclose(fileID);
tmppath=tempname;
pgmpath=[tmppath '.pgm'];
if nargin<2
detpath=[tmppath '.vj'];
else
detpath=[imgpath '.vj'];
end
imwrite(I,pgmpath);
%root=[fileparts(which(... |
close all; clear all; clc;
addpath('./utils/');
db_name = 'MNIST&USPS';
param.choice = 'evaluation_PR_MAP';
loopnbits = [32 64];
num_test=500;
runtimes = 1; % change several times to make the rusult more smooth
param.pos = [1:10:40 50:50:1000]; % The number of retrieved samples: Recall-The number of retrieved samp... |
%% DATA ANALYSIS
clc
clear all
close all
%% Load data
% read the data file
%dataPath = '/Users/Paolo/Documents/AAU/2015-2016/Fall Semester Project/MYO-SMC705/pd_patch/results/';
%addpath( dataPath);
fid = fopen( './tasks_CLEANED.txt');
data = textscan( fid, '%f%f%f%f%f%f%s', 'delimiter', {' ',';'});
fclose(fid);
% ... |
function restored_image=dequan_dct_coef(quantized_coef,width,height,QTAB)
n_bw=width/8; %宽方向方块数
n_bh=height/8;%纵方向方块数
restored_image=zeros(height,width,'uint8'); %没有使用uint8,防止溢出以便观察解码输出和编码前是否一致
%(三)按块反量化及填入图片
for i=1:n_bh
for j=1:n_bw
dequantized_coef=dequantize(quantized_coef(:,(i-1)*n_bw+j),QTAB);%反量化
restored_... |
function [c] = number2letters(u)
w= ["one" "two" "three" "four" "five" "six" "seven"...
"eight" "nine" ];
r=["eleven" "twelve" "thirteen" "fourteen" "fifteen" "sixteen"...
"seventeen" "eighteen" "nineteen"];
y=["ten" "twenty" "thirty" "forty" "fifty" "sixty"...
"seventy" "eighty" "ninety"];
t=["hundred" "te... |
addpath('../controllers');
addpath('../solvers');
addpath('../trajectory_generator');
addpath('../classes');
addpath('../utilities');
addpath('../');
addpath('../../matlab_utils/src/');
addpath('../structs_rosbagsData/');
addpath('../transform_estimator/');
|
N = 100; %Number of runs in a sequence
random_number_tracker = zeros(1,N); %row matrix of zeros to keep track of the random numbers generated.
for i=1:N
random_number_tracker(1,i) = rand; %populating the matrix
end
%Now, lets find out the sample mean
mean = sum(random_number_tracker)/length(random_number_tr... |
% Test Cases:
[woven1] = sweaterWeather('Tebs iet erasrpdsetri l h ie', 'h ettm owa tie wae saltetm!')
[woven1_soln] = sweaterWeather_soln('Tebs iet erasrpdsetri l h ie', 'h ettm owa tie wae saltetm!');
% woven1 => The best time to wear a striped sweater is all the time!
% Output variable(s) should be identical to... |
function [ret] = pcz_latex_vpa(A,disp_mode,sed_user,prec)
%%
%
% file: pcz_latex_vpa.m
% author: Polcz Péter <ppolcz@gmail.com>
%
% Created on 2016.04.02. Saturday, 09:51:45
%
% Examples:
% pcz_latex_vpa(M,2, { 'Dd_' '\\\\dot\{\\\\delta\}_' ; 'd_' '\\\\delta_'})
if nargin < 2 || isempty(disp_mode), disp_m... |
datos
[t, x] = mrk4(f, intervalo, x0, N);
graficas |
%Pupil Gen
npix= 256; %number of pixels across the pupil diameter
lambda= 700.*10^-9;
error= 10*10^-9;
pupil=[];
%ncount=[];
%mcount=[];
%counter=1;
%G_mat=[];
success=1;
%Scanning through Z -35 to Z 35
%%
for n=0:5
for m=-5:5
%ncount(counter)=n;
%mcount(counter)=m;
%counter=counter+1;
ma = abs(m);
if m==0 & n==0
... |
function [Factor,eigenvector] = DFM_extraction(X, plag, K, type)
% Function returning filtered factors from a DFM either with PCA or
% filtered and smoothed with Kalman.
%-------------------------------Inputs-------------------------------------
% X: Dataset from which the factors should be extracted (t x N)
% plag:... |
% bias plot
close all;
clear all;
hold all;
clc;
load('GMLE-bias-T10');
h10=plot(batchsizes,bias);
clear fiscpn i k l n p p_idle p_succ_cond_idle prb_stop_slot D GMLE
load(['GMLE-bias-T20']);
h20=plot(batchsizes,bias);
clear fiscpn i k l n p p_idle p_succ_cond_idle prb_stop_slot D GMLE
load(['GMLE-bias-T30']);
h30=... |
function folder_processing(varargin)
%% Funkcia folder_processing.:
% Vstupné argumenty funkcie.:
% FOLDER = Cesta k priečinku, v ktorom sa nachádza aspoň jeden taký
% pod-priečinok, kde sú uložené údajové súbory s *.edf príponou.
close all;
FOLDER = varargin{1};
subfolders = dir(FOLDER);
subfolders = struct2... |
function liste = capData( liste, min_value, max_value )
for i = 1:length(liste)
if liste(i) < min_value
liste(i) = min_value;
elseif liste(i) > max_value
liste(i) = max_value;
end
end
end
|
%{
To use these functions, make sure that all Box table imports have the same
length, all Weight table imports have the same length, and all Statistics
table imports have the same length. To do this, you need to make sure not
to include the notes and # of stools columns in some of the Weight table
imports. Also, make s... |
function reportLF(LF,Flows,Currents,GentorLF,Load,Motor,Shunt,Slack)
global Report
Report=zeros(length(LF(:,1)),10);
P=zeros(length(LF(:,1)),2);
Q=zeros(length(LF(:,1)),2);
B=zeros(length(LF(:,1)),2);
G=zeros(length(LF(:,1)),2);
%
for i=1:length(LF(:,1))
LF(i,6)=LF(i,3)*LF(i,5);
P(i,1)=LF(i,1);
... |
%%%
% This function determines the received symbol and counts the bit(symbol)
% error rate.
%%%
function BER = Decider(Num_UE, Symbols, s, y)
Decision = zeros(Num_UE, 1);
for l = 1 : Num_UE
% Compare the received symbol with QPSK symbols
% Choose the QPSK symbol that is closest to recei... |
function [idx,params] = get_params()
idx.x = 1;
idx.y = 2;
idx.theta = 3;
idx.v = 4;
idx.w = 5;
idx.n_states = 3;
idx.n_inputs = 2;
idx.n_hor = 3;
idx.n_dim = 3;
%Weight matrix
%params.Qunit = [1,1,0.33];
%params.Runit = [1e-1,1e-1];
params.Qunit = diag([10,10,8]);
params.Runit = 1e-8 * eye(1);
params.Qfinal = 100;... |
% This script plots the experimental data of Figure 2 contained in the
% paper
% C. Kuemmerle, C. Mayrink Verdun, "A Scalable Second Order Method for
% Ill-Conditioned Matrix Completion from Few Samples", ICML 2021.
%
% In the experiment, the performance of several algorithms for exact matrix
% completion of (1000 x 1... |
%{
This is a test script to check the efficiency of polyninomal trajectory
path: given waypoints
v: given velocity
T: total time
%}
path = [0, 0;
1,0];
v = [0,0.1;
-0.1,0];
T = 2;
% p(t) = a_0 + a_1 * t + a_2 * t^2 + a_3 * t^3
A = [1 0 0 0; ...
1 T T^2 T^3;...
0 1 0 0;...
0 1 2*T 3*T^2];... |
classdef lslAdapter < mladapter % CHANGE THE CLASS NAME! The name of this file must be identical with it.
properties
% Define user variables here. They will be both readable and writable.
% Will read the outcome from the trial inlet, (9 = aborted)
CurrentOutcome
Outcomes % Cell ar... |
function process_data(type,results)
global binf
%binf structure:
% data_files: {'test.dat'}
% path: 'D:\Val\battery_testing\process\'
% header_names: {1x11 cell}
% no_header_lines: 1
% batname: 'Hawker Genesis 12AH spiral wound lead acid'
% batnum: 'number'
% ... |
function llk=Exp4_TotalLikelihood(llk_trial)
llk=nansum(llk_trial(:));
|
% This program is implemented by Manizheh Ghaemi (Author of article "Forest Optimization Algorithm")
% This program is distributed in the hope that it will be
% useful, but WITHOUT ANY WARRANTY; EXPRESS OR IMPLIED.
% Questions/Comments: Please email Manizheh Ghaemi at:
% Manizheh.Ghaemi@yahoo.com.
% Proper Acknow... |
addPaths;
scat_coeffs = [];
label_dir = './unit_labels/';
input_dir = './grlogs/';
filter = 'gr';
las_files = dir(strcat(input_dir, '*.las'));
label_files = dir(strcat(label_dir, '*.csv'));
data = struct('Ordovician',[], ...
'Kope', [], ...
'Utica', [], ...
'PointPleasant'... |
figure
p1=subplot(4,1,1)
area(DatumUhrzeit,BLHA0)
legend("Hand=1 Automatik=0",'Location','northwest')
axis tight
grid on
pos = get( p1(1), 'Position' );
pos(4) =pos(4)/ 10; % Increase height.
pos(2) =0.95
set( p1(1), 'Position', pos ) ;
offset=0.9
abstand=1/5
hoehe=1/6
p2=subplot(4,1,2)
plot(D... |
function Hd = test2
%TEST2 Returns a discrete-time filter object.
% MATLAB Code
% Generated by MATLAB(R) 9.2 and the DSP System Toolbox 9.4.
% Generated on: 18-Dec-2018 00:49:25
% FIR Window Bandpass filter designed using the FIR1 function.
% All frequency values are in Hz.
Fs = 1.6; % Sampling Frequency
Fstop1 = ... |
function obj = downloadLatestGithubVersion(obj)
% Biafra Ahanonu
% Started: 2021.03.25 [22:11:25] (branched from ciatah.m)
% Blank function
end |
%% 1.5a ???
t_s = 1;
n = 200;
step = 1;
time = t_s:step:n;
w_t = transpose(wgn(n,1000,0));
s_t = zeros(1,n);
for j = 1:n
if j < 101
s_t(j) = 0;
else
s_t(j) = 10*exp(-(j - 100)/20)*cos(2*pi*j/4);
end
end
x_t = repmat(s_t,1000,1) + w_t;
mean_x = @(t) mean(x_t(t,:));
... |
function quantized_coef=huffman_decode(accode,dccode,width,height,QTAB,ACTAB,DCTAB)
n_bw=width/8; %宽方向方块数
n_bh=height/8;%纵方向方块数
quantized_coef=zeros(64,n_bw*n_bh);%量化后系数
%(一)处理DC分量
%1.1 DC霍夫曼解码
dc_magnitude_array=dc_huffman_decode(dccode,DCTAB);
%1.2 DC反差分
for i=2:length(dc_magnitude_array)
dc_magnitude_array(i)=dc_ma... |
function [ k, nf, cir1, pk_pwr ] = select_cir_samples( r, cir )
% SELECT_CIR_SAMPLES Compute the delay spread of the input CIR
%
% Outputs:
% k is an array of the selected indices
% nf is the noise floor
% cir1 is the modified cir, noise set to zero
%
% Inputs:
% r is the range in meters from transmitter to rec... |
%exam 3 F14 - 1
m = input("mass of box: ");
f = input("pushing force: ");
s = input("desired distance s in m: ");
angle = input("angle of force: ");
k = input("spring coefficient: ");
syms v
vF = solve(cosd(angle) * f * s == .5 * k * s.^2 + .5 * m * v.^2,v);
sprintf("velocity of box at %.2f is %.2f m/s", s , abs(vF(1... |
function xs = completePathImageSequence( xs, x0, x1, flipSequence )
k = size(xs, 3);
if flipSequence
xt = x0;
x0 = x1;
x1 = xt;
end
j = 0;
for i = 1 : k
xt = xs(:,:,i);
if max( xt(:)) < 0.01
j = j + 1;
end
end
if j > 0
xs(:,:,2:end) = xs(:,:,1:end-1);
xs(:,:,1) = x0;
... |
%% 水塔水位问题
clear,clc;
name='某小镇某天的水塔水位.xlsx';
X=xlsread(name,'Sheet1','D1:E24');
x=X(:,1);
y=X(:,2);
figure('Name','水塔水位vs时间')
plot(x,y,'o');
xlabel('time(s)')
ylabel('foot(10^-^2)')
grid on
new_x=0:0.1:93270;
new_y=spline(x,y,new_x);
hold on
plot(new_x,new_y);
plot(35930,new_y(359301),'rp',39332,new_... |
function PostProcessingV2(X,Y,Cn,Cv,Cell,file,TimeStep,XgID)
if TimeStep ==0
% InitVtk(file)
end
% CnNN=Cn(~any(ismember(Cn,XgID),2),:);
% CnNB=Cn(~(sum(ismember(Cn,XgID),2)==2),:);
% CnBB=Cn(any(ismember(Cn,XgID),2),:);
CreateVtkVol(Y,Cell,X,file,TimeStep)
% Lv.L=ones(size(Cv,1),1);
% Lv.L0=ones(si... |
function plotTraceSnippets(filepath,filename,snippets,mvLineAt)
%% Load data
dbstop if error
vidfolder=filepath;
cd(filepath)
in=load(filename);
fprintf('\n\nPlotting %s',filename)
% Check for laser pulses --
laserTrace=[];
try strcmp(in.stimulus.type,'laser_pulses');
laserTrace=in.stimulus.laserTrace;
fprin... |
img=imread('Sampad.jpg');
img=rgb2gray(img);
[rows,cols]=size(img);
output=img;
% I=zeros(size(img));
Sox=[-5 -4 0 4 5; -8 -10 0 10 8; -10 -20 0 20 10; -8 -10 0 10 8; -5 -4 0 4 5];
Soy=Sox.';
img=double(img);
X=50;
Y=70;
Sx=270;
Sy=300;
th=45;
for r = X:X+Sx-4
for c=Y:Y+Sy-4
Gx=sum(sum(Sox.*img(r:r+4,c:c+4... |
f = 'preFinal/preFinal_';
ext = 'jpg';
n=load('f.txt');
for i = 1:1:n
s1='.';
s2=int2str(i);
s3='img';
s=strcat(s2,s1);
s4=strcat(s3,s2);
inp = imread([f s ext]);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%5
sigma=5;
K=0;
for x1=-2:2
for ... |
function fVal = fun4prob1(x)
% function for assignment 3 ;problem 1
fVal = x^2*cos(x);
end |
Upp = 0;
Tp = 0.5;
Umin = -1;
Umax = 1;
kstart = 7;
u = Upp*ones(100, 1);
y = zeros(100, 1);
for k = kstart:100
y(k) = symulacja_obiektu5y(u(k-5), u(k-6), y(k-1), y(k-2));
end
csvwrite('sprawko/wykresy/zad1_u.csv', u)
csvwrite('sprawko/wykresy/zad1_y.csv', y) |
clc,clear
close all
%%
dir={'/yolov2','/ssd','/fasterrcnn','/fasterrcnnzf','/CSCNET'};
model = {'yolov2','ssd','fasterrcnn-vgg','fasterrcnn-zf','CSCNET'};
diroutput = '/ap/';
data = 'train_loss.mat';
draw=0;
clss = {'Insulator';
'Rotary_double_ear';
'Binaural_sleeve';
'Brace_sleeve';
'Steady_arm_base';
'... |
classdef (Abstract) Linearisable < handle
%LINEARISABLE Summary of this class goes here
% Detailed explanation goes here
properties
end
methods
result = linearise(this, data);
params = delinearise(this, linParams);
params = delineariseND(this, linParams);
end
end
|
function [trainStimulusDesignMatrix, testStimulusDesignMatrix] = splitStimulusDesignMatrix(stimulusDesignMatrix, trainFrac)
stimulusLength = size(stimulusDesignMatrix, 1);
trainLength = ceil(stimulusLength * trainFrac);
trainStimulusDesignMatrix = stimulusDesignMatrix(1:trainLength,:);
testStimulusDesig... |
function [errorSignal, FY1, FY2, FY3] = encodeDPCM(movie, bits)
firstFrame = movie(:,:,1);
info = size(movie);
% for k=2:2:info(1) % go through all even rows and flip them left right
% firstFrame(k,:) = flip(firstFrame(k,:));
% end
X = transpose(firstFrame); % transpose video such that
X = X(:); % save to X ... |
[muHat,sigmaHat] = normfit(err);
y = gaussmf(err,[sigmaHat muHat]);
figure(2)
scatter(err,y)
%%
k = 1;
ind = [];
Bin = [];
err = lfe(:,1)-lfe(:,2);
d = lfe(:,1)-lfe(:,2);
while ~isempty(err)
ind = find(err(:)==err(1));
Bin(k,1) = err(1);
err(ind) = [];
ind = [];
k=k+1;
end
% ... |
function [palette,palette_label,palette_tsi,exp_comp,target_mw,target_hc] = ...
set_target_details(surr)
% PALETTE COMPOUNDS
switch surr
case 'dooley'
palette = {'NPBENZ','NC12H26','IC8H18','TMBENZ'};
otherwise
palette = {'MCYC6','C7H8','C6H6','IC8H18','NC12H26'};
end
% LABELS
switch surr... |
%% n = SimulateNoise(m, k, snr_hf, an)
%
% Generates noise to corrupt MRI data. The noise power is computed
% relatively to the average power in the highest frequencies sampled.
%
% Copyright, Matthieu Guerquin-Kern, 2012
function n = SimulateNoise(m, k, varargin)
%% Default inputs
if nargin<2
error('SimulateNoise... |
function [n_alpha, n_single, p_alpha, alphas, separable_fraction, Xp]...
= SeparabilityAnalysis(X, varargin)
%Performs standard analysis of separability and produces standard plots.
%
%Inputs:
% X - is a data matrix with one data point in each row.
% Optional arguments in varargin form Name, Value pairs. Poss... |
% This script reproduces the experiment of Figure 4 of the paper
% C. Kuemmerle, C. Mayrink Verdun, "A Scalable Second Order Method for
% Ill-Conditioned Matrix Completion from Few Samples", ICML 2021.
%
% It performs a comparison of the execution time of different algorithms
% (in seconds) as a function of the matr... |
classdef waypointFinder2D < handle
% Class: waypointFinder2D
%
% This is an A* path planner for small autonomous robots. Given start and
% goal points and obstacles defined as counterclockwise contours, the
% waypoint finder finds a collision avoiding path through the world.
%
% Required inputs to constructor function:... |
%% Finished
%1.1 Calibration of dark noise
function [mean, std] = DarkNoiseCalibration(filePath)
% use the first image to get the background for calibration
preImage = imread(filePath);
imshow(preImage, [])
rect = imrect;
position = rect.getPosition;
croppedImage = imcrop(preImage, position);
... |
classdef clusterMachine < AClassifier
% FSM
properties(SetAccess=protected)
k = [0 0];
dataFormatName = []; % which data to use?
dataFormatDofStr = [];
dataFormatDofNum = [];
dataFormatfitting = [];
dataFormatQuad = [];
dataFormatClusterParam = [];
dat... |
%%
figure(1);clf;
linc = [.125, .125, .125]; % line color
% plot real line
x = [-1, 1];
y = [0, 0];
plot( x, y , 'color', linc);
axis equal;
axis off;
hold on;
if 0
r = ones(1, 500) * 0;
x = linspace(-1000, 1000, 500);
z = complex(r, x) ./ 50;
g = (z - 1) ./ (z + 1);
plot(real(g), imag(g));
en... |
function write_m(a,name,num1,num2)
% write_m(a,name,num1,num2)
% a array
% name root for file number
% num1,num2 numbers to form file name name_num1_num2
% if either num1<0 or num2<0 it is not used
% write array to file same as created by call write_array subroutines
% the mode of reading may ch... |
hold off
clear all
DData = load('distance.dna');
N = size(DData,1);
time = DData(1:N,1);
lgt = log(time);
D = DData(1:N,2);
D_v = DData(1:N,3);
P = DData(1:N,4:6);
P_v = DData(1:N,7:9);
f = fittype('a*x+b');
fitD_m = fit(lgt,log( D ),f,'StartPoint',[1 1]);
figure(1);
plot(lgt, log(D), '-k.', lgt ,log(D+sqrt(D_v)),... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.