*

2025-05-13 00:32:28 +03:00
parent 7323332eac
commit 8e250df54c
123 changed files with 14142 additions and 0 deletions
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+using System.Collections;
+using System.Collections.Generic;
+using UnityEngine;
+using UnityEngine.UI;
+using System.Numerics;
+
+public class Example03_soundTreatment : MonoBehaviour
+{
+
+
+    [Space]
+    [Header("[!] set fixed time to 0.01f [!]")]
+    [Header("sound treatment")]
+    [Space]
+
+    //samplingfrequency 
+    public int samplingFrequency;
+
+    //input-output values for the FFT
+    double [] X_inputValues;
+    double [] Y_inputValues;
+    double[] Y_output;
+
+
+    //list with the input values
+    public List<double> Y_values;
+
+    //these are the frequencies, amplitude and phase of the sinus added to the signal
+    [Space(10)]
+    [Header("This is the noise to analyse")]
+    [Space]
+    public AudioClip audioC;
+    public AudioSource audioS;
+
+
+    //counts the steps taken
+    long count = 0;
+
+    //the chart transforms for the time and frequency
+    [Space(10)]
+    [Header("CHARTS FOR DRAWING")]
+    [Space]
+    public Transform tfTime;
+    public Transform tfFreq;
+
+    //window size
+    public long windowSize;
+
+    void Start()
+    {
+        windowSize = audioS.clip.samples * audioS.clip.channels;
+
+        audioS.clip = audioC;
+        audioS.Play();
+
+        //initialize
+        X_inputValues = new double[windowSize];
+        Y_inputValues = new double[windowSize];
+        Y_output = new double[windowSize];
+
+        StartCoroutine(treatmentOfSound());
+
+    }
+
+
+    
+
+    /// <summary>
+    ///  This corrutine obtains these steps in order:
+    ///  1) gets the data from the audiosource
+    ///  2) displays the signal in time domain
+    ///  3) displays the signal in FFT
+    /// </summary>
+
+    IEnumerator treatmentOfSound()
+    {
+
+        //ONE IS THE INPUT VALUES
+        float[] samples = new float[windowSize];
+
+        audioS.clip.GetData(samples, 0);
+
+        
+        //this is the window size
+        for (int ii = 0; ii < windowSize; ii++)
+        {
+            X_inputValues[ii] = ii;
+            Y_inputValues[ii] =(double)samples[ii];
+
+        }
+        
+
+        //perform complex opterations and set up the arrays
+        Complex[] inputSignal_Time = new Complex[windowSize];
+        Complex[] outputSignal_Freq = new Complex[windowSize];
+
+
+        inputSignal_Time = FastFourierTransform.doubleToComplex(Y_inputValues);
+
+
+        //result is the iutput values once FFT has been applied
+        outputSignal_Freq = FastFourierTransform.FFT(inputSignal_Time, false);
+
+
+        Y_output = new double[windowSize];
+        //get module of complex number
+        for (int ii = 0; ii < windowSize; ii++)
+        {
+            //Debug.Log(ii);
+            Y_output[ii] = (double)Complex.Abs(outputSignal_Freq[ii]);
+        }
+
+        
+            
+        yield return null;
+
+
+        
+
+    }
+
+
+
+    void FixedUpdate()
+    {
+        //draw both charts: time-domain and frequency-domain
+        Drawing.drawChart(tfTime, X_inputValues, Y_inputValues, "time");
+        Drawing.drawChart(tfFreq, X_inputValues, Y_output, "frequency");
+
+
+    }
+
+
+
+
+
+
+
+}