lasp.tools.tools Namespace Reference

Author: T. More...

Classes
class	SmoothingType
class	SmoothingWidth
class	sw

Functions
	intHann (x1, x2)
	Calculate integral of (part of) Hann window.
	smoothCalcMatrix (freq, SmoothingWidth sw)
	Args: freq: array of frequencies of data points [Hz] - equally spaced sw: SmoothingWidth.
	smoothSpectralData (freq, M, SmoothingWidth sw, SmoothingType st=SmoothingType.levels)
	Apply fractional octave smoothing to data in the frequency domain.

Variables
int	Noct = 2
int	fmin = 1e3
int	fmax = 24e3
int	Ndata = 200
	freq = np.linspace(fmin, fmax, Ndata)
float	M = abs(0.4*np.random.normal(size=(len(freq),)))+0.01
	st
	Msm = smoothSpectralData(freq, M, sw, st)
	fsm = freq

Detailed Description

Author: T.

Hekman, C. Jansen, J.A. de Jong - ASCEE V.O.F.

Smooth data in the frequency domain.

TODO: This function is rather slow as it uses [for loops] in Python. Speed up. NOTE: function requires lin frequency spaced input data TODO: accept input data that is not lin spaced in frequency TODO: it makes more sense to output data that is log spaced in frequency TODO: Make SmoothSpectralData() multi-dimensional array aware. TODO: Smoothing does not work due to complex numbers. Is it reasonable to smooth complex data? If so, the data could be split in magnitude and phase.

Function Documentation

intHann()

lasp.tools.tools.intHann	(		x1,
			x2
	)

Calculate integral of (part of) Hann window.

If the args are vectors, the return value will match those.

Args: x1: lower bound [-0.5, 0.5] x2: upper bound [-0.5, 0.5] Return: Integral of Hann window between x1 and x2

Definition at line 65 of file tools.py.

smoothCalcMatrix()

lasp.tools.tools.smoothCalcMatrix	(		freq,
		SmoothingWidth	sw
	)

Args: freq: array of frequencies of data points [Hz] - equally spaced sw: SmoothingWidth.

Returns: freq: array frequencies of data points [Hz] Q: matrix to smooth, power: {fsm} = [Q] * {fraw}

Warning: this method does not work on levels (dB)

According to Tylka_JAES_SmoothingWeights.pdf "A Generalized Method for Fractional-Octave Smoothing of Transfer Functions that Preserves Log-Frequency Symmetry" https://doi.org/10.17743/jaes.2016.0053 par 1.3 eq. 16

Definition at line 81 of file tools.py.

smoothSpectralData()

lasp.tools.tools.smoothSpectralData	(		freq,
			M,
		SmoothingWidth	sw,
		SmoothingType	st = SmoothingType.levels
	)

Apply fractional octave smoothing to data in the frequency domain.

Args: freq: array of frequencies of data points [Hz] - equally spaced M: array of data, either power or dB the smoothing type st, the smoothing is applied. sw: smoothing width st: smoothing type = data type of input data

Returns: freq : array frequencies of data points [Hz] Msm : float smoothed magnitude of data points

Definition at line 155 of file tools.py.

Variable Documentation

fmax

int lasp.tools.tools.fmax = 24e3

Definition at line 237 of file tools.py.

fmin

int lasp.tools.tools.fmin = 1e3

Definition at line 236 of file tools.py.

freq

lasp.tools.tools.freq = np.linspace(fmin, fmax, Ndata)

Definition at line 239 of file tools.py.

fsm

lasp.tools.tools.fsm = freq

Definition at line 261 of file tools.py.

M

int lasp.tools.tools.M = abs(0.4*np.random.normal(size=(len(freq),)))+0.01

Definition at line 241 of file tools.py.

Msm

lasp.tools.tools.Msm = smoothSpectralData(freq, M, sw, st)

Definition at line 260 of file tools.py.

Ndata

int lasp.tools.tools.Ndata = 200

Definition at line 238 of file tools.py.

Noct

int lasp.tools.tools.Noct = 2

Definition at line 233 of file tools.py.

st

lasp.tools.tools.st

Definition at line 256 of file tools.py.