caiorss

    public class XmlStripper
    {
        public XmlNode RemoveAllNamespaces(XmlNode documentElement)
        {
            var xmlnsPattern = "\\s+xmlns\\s*(:\\w)?\\s*=\\s*\\\"(?<url>[^\\\"]*)\\\"";
            var outerXml = documentElement.OuterXml;
            var matchCol = Regex.Matches(outerXml, xmlnsPattern);
            foreach (var match in matchCol)
                outerXml = outerXml.Replace(match.ToString(), "");

caiorss

;; Mac の Dictionary.app を、 Emacs の popwin.el から使う
;; dict.py is from http://sakito.jp/mac/dictionary.html
(defun dictionary ()
  "dictionary.app"
  (interactive)
  (let ((word (if (and transient-mark-mode mark-active)
                  (buffer-substring-no-properties (region-beginning) (region-end))
                (read-string "Dictionary: ")))
        (cur-buffer (current-buffer))
        (tmpbuf " * dict-process *"))

caiorss

/// <summary>
/// Utilties for reflection
/// </summary>
public static class ReflectionUtils
{
    /// <summary>
    /// Get all the fields of a class
    /// </summary>
    /// <param name="type">Type object of that class</param>
    /// <returns></returns>

caiorss

caiorss

% Filters the signal using coefficients obtained by the butter filter
% design
x_filtered = filter(b,a,y);

% Plots the filtered signal
figure(4)
plot(t,x_filtered,'r')
hold on 
plot(t,y0,'k','LineWidth',2)
hold on 

caiorss

%% Filter Design

% Designs a second order filter using a butterworth design guidelines
[b a] = butter(2,0.2,'high');

% Plot the frequency response (normalized frequency)
figure(3)
H = freqz(b,a,floor(num_bins/2));
plot(0:1/(num_bins/2 -1):1, abs(H), 'r');
hold on

caiorss

function stupid_tricks

    % I made some functional tools for MATLAB.
    assert(reduce_(@(x, y) x + y, [1, 2, 3, 4]) == 10)

    % They got a little out of hand.
    join = @(sep, args) ...
        if_(ischar(sep), @() ... % Input check
            reduce_(@(x, y) [x sep y], ... % Reduce to string
                map_(@num2str, args))); % Convert args to string.

caiorss

t = 0:0.001:1000;
x = cos(t);
y = sin(t);

fig = figure();
ax = axes();
hold on
dot1 = plot(x(1), y(1));
dot2 = plot(1.5 * x(1), 1.5 * y(2));
hold off

caiorss

%% Matlab-Skript zur Vorlesung Informationsuebertragung am 14.11.2014
% Autor: Valentin Burger, Michael Seufert, Steffen Gebert

clear all; %set(0, 'defaultlinelinewidth', 1);
figure(1);clf;box on;
A=5;                        % Amplitude
w=4;                        % Frequenz
phi=pi/2;                   % Phasenverschiebung
x=(0:0.001:2)*pi;
y=A*sin(x*w+phi);

caiorss

%Function lda takes in a list of Words and documents and generates the
%probability matrices for LDA
% INPUTS:
% W -list of words
% D -list of documents assigned to each word
% nTopics - number of topics to use for LDA
% maxIter - maximum iterations to run LDA
% nVocab - (optional) number of unique words
%
% Outputs: