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dsp/window: add Tukey window function and simplify tests
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@@ -330,6 +330,49 @@ func (g Gaussian) Transform(seq []float64) []float64 {
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return seq
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return seq
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}
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}
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// Tukey can modify a sequence using the Tukey window and return the result.
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// See https://en.wikipedia.org/wiki/Window_function#Tukey_window
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// and https://www.recordingblogs.com/wiki/tukey-window for details.
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//
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// The Tukey window is an adjustable window.
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//
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// The sequence weights are
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// w[k] = 0.5 * (1 + cos(π*(|k - M| - αM)/((1-α) * M))), |k - M| ≥ αM
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// = 1, |k - M| < αM
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// with M = (N - 1)/2 for k=0,1,...,N-1 where N is the length of the window.
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//
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// Spectral leakage parameters are summarized in the table:
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// | α=0.3 | α=0.5 | α=0.7 |
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// -------|--------------------------|
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// ΔF_0 | 1.33 | 1.22 | 1.13 |
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// ΔF_0.5 | 1.28 | 1.16 | 1.04 |
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// K | 0.67 | 0.61 | 0.57 |
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// ɣ_max | -18.2 | -15.1 | -13.8 |
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// β | -1.41 | -2.50 | -3.74 |
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type Tukey struct {
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Alpha float64
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}
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// Transform applies the Tukey transformation to seq in place, using the value
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// of the receiver as the Alpha parameter, and returning the result
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func (t Tukey) Transform(seq []float64) []float64 {
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switch {
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case t.Alpha <= 0:
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return Rectangular(seq)
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case t.Alpha >= 1:
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return Hann(seq)
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default:
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alphaL := t.Alpha * float64(len(seq)-1)
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width := int(0.5*alphaL) + 1
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for i := range seq[:width] {
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w := 0.5 * (1 - math.Cos(2*math.Pi*float64(i)/alphaL))
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seq[i] *= w
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seq[len(seq)-1-i] *= w
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}
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return seq
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}
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}
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// Values is an arbitrary real window function.
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// Values is an arbitrary real window function.
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type Values []float64
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type Values []float64
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@@ -330,6 +330,49 @@ func (g GaussianComplex) Transform(seq []complex128) []complex128 {
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return seq
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return seq
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}
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}
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// TukeyComplex can modify a sequence using the Tukey window and return the result.
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// See https://en.wikipedia.org/wiki/Window_function#Tukey_window
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// and https://www.recordingblogs.com/wiki/tukey-window for details.
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//
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// The Tukey window is an adjustable window.
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//
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// The sequence weights are
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// w[k] = 0.5 * (1 + cos(π*(|k - M| - αM)/((1-α) * M))), |k - M| ≥ αM
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// = 1, |k - M| < αM
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// with M = (N - 1)/2 for k=0,1,...,N-1 where N is the length of the window.
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//
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// Spectral leakage parameters are summarized in the table:
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// | α=0.3 | α=0.5 | α=0.7 |
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// -------|--------------------------|
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// ΔF_0 | 1.33 | 1.22 | 1.13 |
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// ΔF_0.5 | 1.28 | 1.16 | 1.04 |
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// K | 0.67 | 0.61 | 0.57 |
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// ɣ_max | -18.2 | -15.1 | -13.8 |
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// β | -1.41 | -2.50 | -3.74 |
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type TukeyComplex struct {
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Alpha float64
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}
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// Transform applies the Tukey transformation to seq in place, using the value
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// of the receiver as the Alpha parameter, and returning the result
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func (t TukeyComplex) Transform(seq []complex128) []complex128 {
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switch {
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case t.Alpha <= 0:
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return RectangularComplex(seq)
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case t.Alpha >= 1:
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return HannComplex(seq)
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default:
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alphaL := t.Alpha * float64(len(seq)-1)
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width := int(0.5*alphaL) + 1
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for i := range seq[:width] {
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w := complex(0.5*(1-math.Cos(2*math.Pi*float64(i)/alphaL)), 0)
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seq[i] *= w
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seq[len(seq)-1-i] *= w
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}
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return seq
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}
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}
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// ValuesComplex is an arbitrary complex window function.
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// ValuesComplex is an arbitrary complex window function.
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type ValuesComplex []complex128
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type ValuesComplex []complex128
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@@ -5,7 +5,6 @@
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package window
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package window
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import (
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import (
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"fmt"
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"testing"
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"testing"
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"gonum.org/v1/gonum/floats"
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"gonum.org/v1/gonum/floats"
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@@ -111,34 +110,48 @@ var windowTests = []struct {
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0.967756, 0.737755, 0.402051, 0.115529, -0.037444, -0.070137, -0.045939, -0.017675, -0.003687, -0.000421,
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0.967756, 0.737755, 0.402051, 0.115529, -0.037444, -0.070137, -0.045939, -0.017675, -0.003687, -0.000421,
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},
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},
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},
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},
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}
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var gausWindowTests = []struct {
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name string
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sigma float64
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want []float64
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}{
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{
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{
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name: "Gaussian", sigma: 0.3,
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name: "Gaussian_0.3", fn: Gaussian{0.3}.Transform, fnCmplx: GaussianComplex{0.3}.Transform,
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want: []float64{
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want: []float64{
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0.003866, 0.011708, 0.031348, 0.074214, 0.155344, 0.287499, 0.470444, 0.680632, 0.870660, 0.984728,
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0.003866, 0.011708, 0.031348, 0.074214, 0.155344, 0.287499, 0.470444, 0.680632, 0.870660, 0.984728,
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0.984728, 0.870660, 0.680632, 0.470444, 0.287499, 0.155344, 0.074214, 0.031348, 0.011708, 0.003866,
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0.984728, 0.870660, 0.680632, 0.470444, 0.287499, 0.155344, 0.074214, 0.031348, 0.011708, 0.003866,
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},
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},
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},
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},
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{
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{
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name: "Gaussian", sigma: 0.5,
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name: "Gaussian_0.5", fn: Gaussian{0.5}.Transform, fnCmplx: GaussianComplex{0.5}.Transform,
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want: []float64{
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want: []float64{
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0.135335, 0.201673, 0.287499, 0.392081, 0.511524, 0.638423, 0.762260, 0.870660, 0.951361, 0.994475,
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0.135335, 0.201673, 0.287499, 0.392081, 0.511524, 0.638423, 0.762260, 0.870660, 0.951361, 0.994475,
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0.994475, 0.951361, 0.870660, 0.762260, 0.638423, 0.511524, 0.392081, 0.287499, 0.201673, 0.135335,
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0.994475, 0.951361, 0.870660, 0.762260, 0.638423, 0.511524, 0.392081, 0.287499, 0.201673, 0.135335,
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},
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},
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},
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},
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{
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{
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name: "Gaussian", sigma: 1.2,
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name: "Gaussian_1.2", fn: Gaussian{1.2}.Transform, fnCmplx: GaussianComplex{1.2}.Transform,
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want: []float64{
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want: []float64{
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0.706648, 0.757319, 0.805403, 0.849974, 0.890135, 0.925049, 0.953963, 0.976241, 0.991381, 0.999039,
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0.706648, 0.757319, 0.805403, 0.849974, 0.890135, 0.925049, 0.953963, 0.976241, 0.991381, 0.999039,
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0.999039, 0.991381, 0.976241, 0.953963, 0.925049, 0.890135, 0.849974, 0.805403, 0.757319, 0.706648,
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0.999039, 0.991381, 0.976241, 0.953963, 0.925049, 0.890135, 0.849974, 0.805403, 0.757319, 0.706648,
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},
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},
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},
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},
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{
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name: "Tukey_1", fn: Tukey{1}.Transform, fnCmplx: TukeyComplex{1}.Transform,
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want: []float64{ // Hann window case.
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0.000000, 0.027091, 0.105430, 0.226526, 0.377257, 0.541290, 0.700848, 0.838641, 0.939737, 0.993181,
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0.993181, 0.939737, 0.838641, 0.700848, 0.541290, 0.377257, 0.226526, 0.105430, 0.027091, 0.000000,
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},
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},
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{
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name: "Tukey_0", fn: Tukey{0}.Transform, fnCmplx: TukeyComplex{0}.Transform,
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want: []float64{ // Rectangular window case.
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1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
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1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
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},
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},
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{
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name: "Tukey_0.5", fn: Tukey{0.5}.Transform, fnCmplx: TukeyComplex{0.5}.Transform,
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want: []float64{
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0.000000, 0.105430, 0.377257, 0.700847, 0.939737, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000,
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1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 0.939737, 0.700847, 0.377257, 0.105429, 0.000000,
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},
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},
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}
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}
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func TestWindows(t *testing.T) {
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func TestWindows(t *testing.T) {
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@@ -169,36 +182,6 @@ func TestWindows(t *testing.T) {
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}
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}
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}
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}
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func TestGausWindows(t *testing.T) {
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t.Parallel()
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const tol = 1e-6
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for _, test := range gausWindowTests {
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t.Run(fmt.Sprintf("%s (sigma=%.1f)", test.name, test.sigma), func(t *testing.T) {
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src := make([]float64, 20)
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for i := range src {
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src[i] = 1
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}
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gaussian := Gaussian{test.sigma}
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dst := gaussian.Transform(src)
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if !floats.EqualApprox(dst, test.want, tol) {
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t.Errorf("unexpected result for window function %q:\ngot:%#.6v\nwant:%#v", test.name, dst, test.want)
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}
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for i := range src {
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src[i] = 1
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}
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dst = NewValues(gaussian.Transform, len(src)).Transform(src)
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if !floats.EqualApprox(dst, test.want, tol) {
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t.Errorf("unexpected result for lookup window function %q:\ngot:%#.6v\nwant:%#.6v", test.name, dst, test.want)
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}
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})
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}
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}
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func TestWindowsComplex(t *testing.T) {
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func TestWindowsComplex(t *testing.T) {
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t.Parallel()
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t.Parallel()
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const tol = 1e-6
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const tol = 1e-6
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@@ -227,36 +210,6 @@ func TestWindowsComplex(t *testing.T) {
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}
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}
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}
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}
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func TestGausWindowComplex(t *testing.T) {
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t.Parallel()
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const tol = 1e-6
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for _, test := range gausWindowTests {
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t.Run(fmt.Sprintf("%sComplex (sigma=%.1f)", test.name, test.sigma), func(t *testing.T) {
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src := make([]complex128, 20)
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for i := range src {
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src[i] = complex(1, 1)
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}
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gaussian := GaussianComplex{test.sigma}
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dst := gaussian.Transform(src)
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if !equalApprox(dst, test.want, tol) {
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t.Errorf("unexpected result for window function %q:\ngot:%#.6v\nwant:%#.6v", test.name, dst, test.want)
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}
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for i := range src {
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src[i] = complex(1, 1)
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}
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dst = NewValuesComplex(gaussian.Transform, len(src)).Transform(src)
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if !equalApprox(dst, test.want, tol) {
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t.Errorf("unexpected result for lookup window function %q:\ngot:%#.6v\nwant:%#.6v", test.name, dst, test.want)
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}
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})
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}
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}
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func equalApprox(seq1 []complex128, seq2 []float64, tol float64) bool {
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func equalApprox(seq1 []complex128, seq2 []float64, tol float64) bool {
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if len(seq1) != len(seq2) {
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if len(seq1) != len(seq2) {
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return false
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return false
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