Inheritance diagram for PinkNoise:

Collaboration diagram for PinkNoise:

Public Member Functions
override void	GenerateNewDistribution ()
	Generate a new normal(Gaussian) distribution Mapped to NoiseDataPanel NewDistribution button. More...

override void	ApplyPattern ()
	Calculate the noise according to the user input. Mapped to NoiseDataPanel ApplyPattern button. More...

Public Member Functions inherited from BaseNoiseClass
abstract void	ApplyPattern ()
	Calculate the noise according to the user input. Mapped to NoiseDataPanel ApplyPattern button. More...

virtual void	GenerateNewDistribution ()
	Generate a new normal(Gaussian) distribution Mapped to NoiseDataPanel NewDistribution button. More...

virtual void	CanclePattern ()
	Cancel the current noise pattern and reset it with default speed. Mapped to NoiseDataPanel CancelPattern button. More...

Protected Member Functions
override void	Awake ()

override void	PopulateVariablesWithDataFromUI ()
	Populate data variables used to alter noise. The data are gained through UI lables which are set by the keyboard input. More...

override void	CalculateNoise ()
	Scale the base pink noise. More...

override void	CalculateBaseNoise ()
	Calculate the base pink noise value. More...

Protected Member Functions inherited from BaseNoiseClass
virtual void	Awake ()
	When invoke the scripts performas all the initializations including, Lists, scripts, and noise scaling values such as standard distribution and mean. More...

void	InitializeNoiseDataPanelObjects ()
	Cache the references of NoiseDataPanel gameobjects. More...

double	GetStandardDeviation (ref List< float > basePinkNoiseList)
	This function calculate the sample Standard Deviation value and return it. More...

void	ConvertToZScore (ref List< float > basePinkNoiseList)
	This converts Z values to Z Score values. May get off a small amount due to round error. More...

abstract void	CalculateNoise ()
	Calculate the colored noise More...

abstract void	CalculateBaseNoise ()
	Calculate the base colored noise More...

void	SetReadyMessage (bool flag, string lbl)
	Indicate noise is successgully applied or not. More...

double	ExtractDecimalFromUI (string textFromUI)
	Get the number part from the UI textfields. More...

virtual void	SetUITextVisibility ()
	Change the visibility of the text fields according to the noise patterns. More...

virtual void	PopulateVariablesWithDataFromUI ()
	Populate data variables used to alter noise. The data are gained through UI lables which are set by the keyboard input. More...

Private Member Functions
void	CalculateGKSQRT ()
	This value is used to calculate base pink noise TODO -> We can parellize this in future. More...

void	IDFT (ref Complex[] X)
	Calculates inverse Discrete Fourier Transform of given spectrum X More...

void	IDFTReal (ref Complex[] X)
	Calculates inverse Discrete Fourier Transform of given spectrum X More...

Private Attributes
float	m_AlphaValue = 0.99f
	For pink noise 0.99 For white noise 0.5 In future, we might need to add different values. More...

int	m_SampleSize2X = 5000
	2 * sample size. We calculate 2X with X sample size. More...

float	m_SqrtOfTwo = 0.0f
	Used this to calculate pink noise. More...

List< double >	m_GKSqrt
	A list to hold GKSqrt values. This is just an intermidiate value use to calculate base Pink noise. More...

Additional Inherited Members
Protected Attributes inherited from BaseNoiseClass
float	m_MeanPeriod = 1.0f
	Hold the Mean Period Value. More...

float	m_SDPeriod = 2.0f
	Hold the standard distribution period. More...

float	m_Multiplier = 0.0f
	Used this as a multiplier to calculate pink noise. More...

int	m_SampleSize = 5000
	Defines how many samples we want. More...

GaussianDistribution	m_GaussianDistribution
	Reference to GaussianDistribution script. More...

bool	m_NoiseAppliedFlag = false
	This flag will indicate we applied or cancel the noise to animations. More...

float	m_PreferredWalkingSpeed = m_DefaultISOWalkSpeed
	Hold the user's preferred walking speed. More...

List< float >	m_NoiseValueList = null
	This list stores the calculated colored noise values. More...

List< float >	m_StandardNoiseDistribution = null
	A List to hold Normal(Gaussian) distribution. More...

TextMeshPro	m_MeanPeriodLabel
	We get the value from these text labels. More...

TextMeshPro	m_SDPeriodLabel

TextMeshPro	m_SampleSizeLabel

TextMeshPro	m_PreferredSpeedLabel

TextMeshPro	m_CurrentPattern

TextMeshPro	m_Title

GameObject	m_ApplyButton

GameObject	m_DistributionButton

Static Protected Attributes inherited from BaseNoiseClass
const float	m_Mean = 0.0f
	Hold the Mean value. More...

const float	m_NoiseSTD = 1.0f
	Hold the standard distribution. More...

const float	m_DefaultISOWalkSpeed = -1.0f
	Default ISO preferred walking speed. More...

Properties inherited from BaseNoiseClass
List< float >	NoiseValueList `[get]`
	Property to get colored noise distribution (Read-Only) More...

bool	NoiseAppliedFlag `[get]`
	Property to get noise applied flag (Read-Only) More...

TextMeshPro	CurrentPattern `[get]`
	Property to get the current noise in use (Read-Only) More...

float	PreferredWalkingSpeed `[get]`
	Property to get user's preferred walking speed (Read-Only) More...

List< float >	NoiseDistribution `[get]`
	Property to get standard normal(Gaussian) distribution (Read-Only) More...

Detailed Description

Definition at line 11 of file PinkNoise.cs.

Member Function Documentation

◆ ApplyPattern()

override void PinkNoise.ApplyPattern ( )

inlinevirtual

Calculate the noise according to the user input. Mapped to NoiseDataPanel ApplyPattern button.

Implements BaseNoiseClass.

Definition at line 69 of file PinkNoise.cs.

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◆ Awake()

override void PinkNoise.Awake ( )

inlineprotectedvirtual

Reimplemented from BaseNoiseClass.

Definition at line 35 of file PinkNoise.cs.

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◆ CalculateBaseNoise()

override void PinkNoise.CalculateBaseNoise ( )

inlineprotectedvirtual

Calculate the base pink noise value.

Implements BaseNoiseClass.

Definition at line 140 of file PinkNoise.cs.

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◆ CalculateGKSQRT()

void PinkNoise.CalculateGKSQRT ( )

inlineprivate

This value is used to calculate base pink noise TODO -> We can parellize this in future.

Definition at line 95 of file PinkNoise.cs.

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◆ CalculateNoise()

override void PinkNoise.CalculateNoise ( )

inlineprotectedvirtual

Scale the base pink noise.

Implements BaseNoiseClass.

Definition at line 79 of file PinkNoise.cs.

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◆ GenerateNewDistribution()

override void PinkNoise.GenerateNewDistribution ( )

inlinevirtual

Generate a new normal(Gaussian) distribution Mapped to NoiseDataPanel NewDistribution button.

Reimplemented from BaseNoiseClass.

Definition at line 59 of file PinkNoise.cs.

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◆ IDFT()

void PinkNoise.IDFT ( ref Complex[] X )

inlineprivate

Calculates inverse Discrete Fourier Transform of given spectrum X

Parameters

X	Spectrum complex values

Returns: Signal samples in time domain

Definition at line 239 of file PinkNoise.cs.

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◆ IDFTReal()

void PinkNoise.IDFTReal ( ref Complex[] X )

inlineprivate

Calculates inverse Discrete Fourier Transform of given spectrum X

Parameters

X	Spectrum complex values

Returns: Return only the real part of the number /returns>

Definition at line 271 of file PinkNoise.cs.

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◆ PopulateVariablesWithDataFromUI()

override void PinkNoise.PopulateVariablesWithDataFromUI ( )

inlineprotectedvirtual

Populate data variables used to alter noise. The data are gained through UI lables which are set by the keyboard input.

Reimplemented from BaseNoiseClass.

Definition at line 48 of file PinkNoise.cs.

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Field Documentation

◆ m_AlphaValue

float PinkNoise.m_AlphaValue = 0.99f

private

For pink noise 0.99 For white noise 0.5 In future, we might need to add different values.

Definition at line 17 of file PinkNoise.cs.

◆ m_GKSqrt

List<double> PinkNoise.m_GKSqrt

private

A list to hold GKSqrt values. This is just an intermidiate value use to calculate base Pink noise.

Definition at line 28 of file PinkNoise.cs.

◆ m_SampleSize2X

int PinkNoise.m_SampleSize2X = 5000

private

2 * sample size. We calculate 2X with X sample size.

Definition at line 21 of file PinkNoise.cs.

◆ m_SqrtOfTwo

float PinkNoise.m_SqrtOfTwo = 0.0f

private

Used this to calculate pink noise.

Definition at line 24 of file PinkNoise.cs.

The documentation for this class was generated from the following file:

Assets/_HoloLens_Avatar/Scripts/Runtime/ColoredNoise/PinkNoise.cs

Public Member Functions

Protected Member Functions

Private Member Functions

Private Attributes

Additional Inherited Members

Detailed Description

Member Function Documentation

◆ ApplyPattern()

◆ Awake()

◆ CalculateBaseNoise()

◆ CalculateGKSQRT()

◆ CalculateNoise()

◆ GenerateNewDistribution()

◆ IDFT()

◆ IDFTReal()

◆ PopulateVariablesWithDataFromUI()

Field Documentation

◆ m_AlphaValue

◆ m_GKSqrt

◆ m_SampleSize2X

◆ m_SqrtOfTwo