The aim of this article is to show an efficient algorithm of signal processing which will allow one to have a competent system of sound fingerprinting and signal recognition. I'll try to come with some explanations of the article's algorithm, and also speak about how it can be implemented using the C# programming language. Additionally, I'll try to cover topics of digital signal processing that are used in the algorithm, thus you'll be able to get a clearer image of the entire system. And as a proof of concept, I'll show you how to develop a simple WPF MVVM application.
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// Sound Fingerprinting framework
// git://github.com/AddictedCS/soundfingerprinting.git
// Code license: CPOL v.1.02
// ciumac.sergiu@gmail.com
using System;
using System.Globalization;
using System.Windows;
using System.Windows.Data;
namespace Soundfingerprinting.DuplicatesDetector.ViewModel
{
[ValueConversion(typeof (bool), typeof (Visibility))]
public class BooleanToVisibilityConverter : IValueConverter
{
#region IValueConverter Members
public object Convert(object value, Type targetType, object parameter, CultureInfo culture)
{
bool isprocessing = (bool) (value);
return isprocessing ? Visibility.Visible : Visibility.Hidden;
}
public object ConvertBack(object value, Type targetType, object parameter, CultureInfo culture)
{
Visibility v = (Visibility) value;
switch (v)
{
case Visibility.Hidden:
return false;
case Visibility.Collapsed:
return false;
case Visibility.Visible:
return true;
}
return DependencyProperty.UnsetValue;
}
#endregion
}
}
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Interested in computer science, math, research, and everything that relates to innovation. Fan of agnostic programming, don't mind developing under any platform/framework if it explores interesting topics. In search of a better programming paradigm.