Data Interpolation and Its Effects on Digital Sound Quality - McMurry ...

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29namespace Maths{namespace <strong>Interpolation</strong>{class Lagrange {public:Lagrange(int n, double *x, double *y) {}m_n = n;m_x = new double[n];m_y = new double[n];for (int i = 0; i < n; ++i) {m_x[i] = x[i];m_y[i] = y[i];}~Lagrange() {}delete [] m_x;delete [] m_y;double getValue(double x, int l) {if (l > 1)assert(x >= m_x[0] && x m_x[i]; ++i);double y = 0.0;for (int k = 0; k
30double aux = 1;for (int j = 0; j
Page 1: Data Inter
Page 6 and 7: 5aren’t close enough to capture t
Page 8 and 9: 7audio conversion. Second, it has t
Page 10 and 11: Chapter 2: Data <s
Page 12 and 13: 11It’s obvious from Figure 2.1.2
Page 14 and 15: 131 1 1L x x x x x x x28 3 212-.321
Page 16 and 17: 152.3.1 Example Suppose we want to
Page 18 and 19: 172.3.3 Example Let’s return to t
Page 20 and 21: 19put in perspective that it’s so
Page 22 and 23: 213.2 Lagrange ResultsFor our examp
Page 24 and 25: 23section, no sound wave is exactly
Page 26 and 27: 25However, in the very high harmoni
Page 28 and 29: 27AppendicesAppendix A: Program Hea
Page 32 and 33: 31namespace Interpolation</
Page 34 and 35: 33double dx = x - m_x[1];return m_y

Data Interpolation and Its Effects on Digital Sound Quality - McMurry ...

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