Commita878ba1

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add fixes

1 parentdc87e80 commita878ba1Copy full SHA for a878ba1

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-9

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Lines changed: 2 additions & 4 deletions

Original file line number	Diff line number	Diff line change
`@@ -384,11 +384,11 @@ class AudioDrawing`
`384`	`384`	`// as it changes over time.`
`385`	`385`	`// In practice, the procedure for computing STFTs is to divide a longer time signal`
`386`	`386`	`// into shorter segments of equal length and then compute the Fourier transform separately`
`387`		`-// on each shorter segment. This reveals the Fourier spectrum on each shorter segment.`
	`387`	`+// on each shorter segment. This reveals the Fourier spectrum on each shorter segment.`
`388`	`388`	`// One then usually plots the changing spectra as a function of time, known as a spectrogram`
`389`	`389`	`// or waterfall plot.`
`390`	`390`	`// https://en.wikipedia.org/wiki/Short-time_Fourier_transform`
`391`		`-`
	`391`	`+`
`392`	`392`	`int timeStep = windLen - overlap;`
`393`	`393`	`Mat dstMat;`
`394`	`394`	`vector<double> stftRow;`
`@@ -1059,8 +1059,6 @@ int main(int argc, char** argv)`
`1059`	`1059`	`"{waitTime w \| 10 \| parameter to cv.waitKey() for dynamic update of file input, takes values in milliseconds }"`
`1060`	`1060`	`;`
`1061`	`1061`
`1062`		`-`
`1063`		`-`
`1064`	`1062`	`CommandLineParserparser(argc, argv, keys);`
`1065`	`1063`	`if (parser.has("help"))`
`1066`	`1064`	`{`

Lines changed: 3 additions & 5 deletions

Original file line number	Diff line number	Diff line change
`@@ -321,7 +321,7 @@ def STFT(self, inputAudio):`
`321`	`321`	`The Short-time Fourier transform (STFT), is a Fourier-related transform used to determine`
`322`	`322`	`the sinusoidal frequency and phase content of local sections of a signal as it changes over`
`323`	`323`	`time.`
`324`		`- In practice, the procedure for computing STFTs is to divide a longer time signal into`
	`324`	`+ In practice, the procedure for computing STFTs is to divide a longer time signal into`
`325`	`325`	`shorter segments of equal length and then compute the Fourier transform separately on each`
`326`	`326`	`shorter segment. This reveals the Fourier spectrum on each shorter segment. One then usually`
`327`	`327`	`plots the changing spectra as a function of time, known as a spectrogram or waterfall plot.`
`@@ -375,8 +375,8 @@ def STFT(self, inputAudio):`
`375`	`375`	`defdrawSpectrogram(self,stft):`
`376`	`376`
`377`	`377`	`frameVectorRows=stft.shape[0]`
`378`		`-frameVectorCols=stft.shape[1]`
`379`		`-`
	`378`	`+frameVectorCols=stft.shape[1]`
	`379`	`+`
`380`	`380`	`# Normalization of image values from 0 to 255 to get more contrast image`
`381`	`381`	`# and this normalization will be taken into account in the scale drawing`
`382`	`382`	`colormapImageRows=255`
`@@ -802,5 +802,3 @@ def initAndCheckArgs(self, args):`
`802`	`802`	`args=parser.parse_args()`
`803`	`803`
`804`	`804`	`AudioDrawing(args).Draw()`
`805`		`-`
`806`		`-`

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