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LocalizedFormats NOT_POWER_OF_TWO_PLUS_ONE
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From source file:experiment.FastCosineTransformer_bug.java
/** * Perform the FCT algorithm (including inverse). * * @param f the real data array to be transformed * @return the real transformed array/*from www .j av a 2 s . c om*/ * @throws MathIllegalArgumentException if the length of the data array is * not a power of two plus one */ protected double[] fct(double[] f) throws MathIllegalArgumentException { final double[] transformed = new double[f.length]; final int n = f.length - 1; if (!ArithmeticUtils.isPowerOfTwo(n)) { throw new MathIllegalArgumentException(LocalizedFormats.NOT_POWER_OF_TWO_PLUS_ONE, Integer.valueOf(f.length)); } if (n == 1) { // trivial case transformed[0] = 0.5 * (f[0] + f[1]); transformed[1] = 0.5 * (f[0] - f[1]); return transformed; } // construct a new array and perform FFT on it final double[] x = new double[n]; x[0] = 0.5 * (f[0] + f[n]); String funname = "cosh/"; double tempexpression = 0; double[] data1 = { x[0], f[0], f[n] }; String expressionname = "x[0]"; log.add(1, data1, funname + expressionname); x[n >> 1] = f[n >> 1]; double[] data2 = { x[n >> 1], f[n >> 1] }; expressionname = "x[n>>1]"; log.add(2, data2, funname + expressionname); // temporary variable for transformed[1] double t1 = 0.5 * (f[0] - f[n]); double[] data3 = { t1, f[0], f[n] }; expressionname = "t1"; log.add(3, data3, funname + expressionname); double[] data4 = { f[0] - f[n], f[0], f[n] }; expressionname = "f[0]-f[n]"; log.add(4, data4, funname + expressionname); for (int i = 1; i < (n >> 1); i++) { final double a = 0.5 * (f[i] + f[n - i]); double[] data5 = { a, f[i], f[n - i] }; expressionname = "a"; log.add(5, data5, funname + expressionname); final double b = FastMath.sin(i * FastMath.PI / n) * (f[i] - f[n - i]); double[] data6 = { b, FastMath.sin(i * FastMath.PI / n), (f[i] - f[n - i]) }; expressionname = "b"; log.add(6, data6, funname + expressionname); /*****bug2 store in Data2 FastMath.sin(i * FastMath.PI / n) to FastMath.sin(2*i * FastMath.PI / n)*******/ double[] data7 = { FastMath.sin(i * FastMath.PI / n), i * FastMath.PI, n }; expressionname = "FastMath.sin(i * FastMath.PI / n)"; log.add(7, data7, funname + expressionname); double[] data8 = { (f[i] - f[n - i]), f[i], f[n - i] }; expressionname = "f[i] - f[n - i]"; log.add(8, data8, funname + expressionname); final double c = FastMath.cos(i * FastMath.PI / n) * (f[i] - f[n - i]); double[] data9 = { c, FastMath.cos(i * FastMath.PI / n), (f[i] - f[n - i]) }; expressionname = "c"; log.add(9, data9, funname + expressionname); double[] data10 = { FastMath.cos(i * FastMath.PI / n), i * FastMath.PI, n }; expressionname = "FastMath.cos(i * FastMath.PI / n)"; log.add(10, data10, funname + expressionname); double[] data11 = { (f[i] - f[n - i]), f[i], f[n - i] }; expressionname = "c"; log.add(11, data11, funname + expressionname); x[i] = a + b; double[] data12 = { x[i], a, b }; expressionname = "x[i]"; log.add(12, data12, funname + expressionname); x[n - i] = a - b; double[] data13 = { x[n - i], a, b }; expressionname = "x[n-i]"; log.add(13, data13, funname + expressionname); tempexpression = t1; t1 += c; double[] data14 = { t1, tempexpression, c }; expressionname = "t1"; log.add(14, data14, funname + expressionname); } FastFourierTransformer transformer; transformer = new FastFourierTransformer(DftNormalization.STANDARD); Complex[] y = transformer.transform(x, TransformType.FORWARD); // reconstruct the FCT result for the original array transformed[0] = y[0].getReal(); double[] data15 = { transformed[0] }; expressionname = "transformed[0]"; log.add(15, data15, funname + expressionname); transformed[1] = t1; double[] data16 = { transformed[1] }; expressionname = "transformed[1]"; log.add(16, data16, funname + expressionname); for (int i = 1; i < (n >> 1); i++) { transformed[2 * i] = y[i].getReal(); double[] data17 = { transformed[2 * i] }; expressionname = "transformed[2 * i]"; log.add(17, data17, funname + expressionname); /***bug 1, store in Data1, add Math.abs() on transformed[2 * i - 1] - y[i].getImaginary()***/ transformed[2 * i + 1] = transformed[2 * i - 1] - y[i].getImaginary(); double[] data18 = { transformed[2 * i + 1], transformed[2 * i - 1], y[i].getImaginary() }; expressionname = "transformed[2 * i+1]"; log.add(18, data18, funname + expressionname); double[] data20 = { transformed[2 * i - 1] - y[i].getImaginary(), transformed[2 * i - 1], y[i].getImaginary() }; expressionname = "transformed[2 * i - 1] - y[i].getImaginary()"; log.add(20, data20, funname + expressionname); } transformed[n] = y[n >> 1].getReal(); double[] data19 = { transformed[n] }; expressionname = "transformed[n]"; log.add(19, data19, funname + expressionname); log.logFile(); log.clear(); return transformed; }
From source file:experiment.FastCosineTransformer_bug2.java
/** * Perform the FCT algorithm (including inverse). * /*from w w w .j a v a 2 s .com*/ * @param f * the real data array to be transformed * @return the real transformed array * @throws MathIllegalArgumentException * if the length of the data array is not a power of two plus * one */ protected double[] fct(double[] f) throws MathIllegalArgumentException { final double[] transformed = new double[f.length]; final int n = f.length - 1; if (!ArithmeticUtils.isPowerOfTwo(n)) { throw new MathIllegalArgumentException(LocalizedFormats.NOT_POWER_OF_TWO_PLUS_ONE, Integer.valueOf(f.length)); } if (n == 1) { // trivial case transformed[0] = 0.5 * (f[0] + f[1]); transformed[1] = 0.5 * (f[0] - f[1]); return transformed; } test test1 = new test(); // construct a new array and perform FFT on it final double[] x = new double[n]; x[0] = 0.5 * (f[0] + f[n]); String funname = "cosh/"; double tempexpression = 0; double ta = 3.24, tb = 2.31, tc = 7.86, td = 5.12; int te = 2; boolean tf = false; x[n >> 1] = f[n >> 1]; ta = tb + tc + mid((int) ta + 1, (int) tb, (int) tc) + td; // temporary variable for transformed[1] double t1 = 0.5 * (f[0] - f[n]); ta = (te >> 2) + tc % tb + td; ta = tb + tc + td; ta = tb + tc - td; ta = tb + tc + td + te; ta = tb * tc * td; ta = tb * tc / td; ta = tb * tc * td * te; ta = ta * ta + tb * tb + tc * tc; ta = tc - (td + te); ta = tc + tb - (td + te + tc); ta = tc * tb / tc + test1.a + 3; ta = tc + tb / td - test1.f.a; ta = td + Math.cos(ta + tc - td - te * tb) + tb; ta = Math.min(tc, td + 1) + 1; for (int i = 1; i < (n >> 1); i++) { final double a = 0.5 * (f[i] + f[n - i]); final double b = FastMath.sin(i * FastMath.PI / n) * (f[i] - f[n - i]); /***** * bug2 store in Data2 FastMath.sin(i * FastMath.PI / n) to * FastMath.sin(2*i * FastMath.PI / n) *******/ final double c = FastMath.cos(i * FastMath.PI / n) * (f[i] - f[n - i]); x[i] = a + b; x[n - i] = a - b; tempexpression = t1; t1 = t1 + c; } FastFourierTransformer transformer; transformer = new FastFourierTransformer(DftNormalization.STANDARD); Complex[] y = transformer.transform(x, TransformType.FORWARD); // reconstruct the FCT result for the original array transformed[0] = y[0].getReal(); transformed[1] = t1; for (int i = 1; i < (n >> 1); i++) { transformed[2 * i] = y[i].getReal(); /*** * bug 1, store in Data1, add Math.abs() on transformed[2 * i - 1] - * y[i].getImaginary() ***/ transformed[2 * i + 1] = transformed[2 * i - 1] - y[i].getImaginary(); } transformed[n] = y[n >> 1].getReal(); return transformed; }