Noise

Structs

struct WhiteNoise

Generate white noise samples.

Traits: AnyType, Copyable, Movable, UnknownDestructibility

WhiteNoise Parameters

Name	Type	Default	Description
num_chans	Int	1	Number of SIMD channels.

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WhiteNoise Functions

struct WhiteNoise . fn init

Initialize the WhiteNoise struct.

fn init Signature

__init__(out self)

fn init Returns : Self

Static Method

This is a static method.

struct WhiteNoise . fn next

Generate the next white noise sample.

fn next Signature

next(self, gain: SIMD[DType.float64, num_chans] = 1) -> SIMD[DType.float64, num_chans]

fn next Arguments

Name	Type	Default	Description
gain	SIMD	1	Amplitude scaling factor.

fn next Returns : SIMD A random value between -gain and gain.

struct PinkNoise

Generate pink noise samples.

Uses the Voss-McCartney algorithm.

Traits: AnyType, Copyable, Movable, UnknownDestructibility

PinkNoise Parameters

Name	Type	Default	Description
num_chans	Int	1	Number of SIMD channels.

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PinkNoise Functions

struct PinkNoise . fn init

Initialize the PinkNoise struct.

fn init Signature

__init__(out self)

fn init Returns : Self

Static Method

This is a static method.

struct PinkNoise . fn next

Generate the next pink noise sample.

fn next Signature

next(mut self, gain: SIMD[DType.float64, num_chans] = 1) -> SIMD[DType.float64, num_chans]

fn next Arguments

Name	Type	Default	Description
gain	SIMD	1	Amplitude scaling factor.

fn next Returns : SIMD The next pink noise sample scaled by gain.

struct BrownNoise

Generate brown noise samples.

Traits: AnyType, Copyable, Movable, UnknownDestructibility

BrownNoise Parameters

Name	Type	Default	Description
num_chans	Int	1	Number of SIMD channels.

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BrownNoise Functions

struct BrownNoise . fn init

Initialize the BrownNoise struct.

fn init Signature

__init__(out self)

fn init Returns : Self

Static Method

This is a static method.

struct BrownNoise . fn next

Generate the next brown noise sample.

fn next Signature

next(mut self, gain: SIMD[DType.float64, num_chans] = 1) -> SIMD[DType.float64, num_chans]

fn next Arguments

Name	Type	Default	Description
gain	SIMD	1	Amplitude scaling factor.

fn next Returns : SIMD The next brown noise sample scaled by gain.

struct TExpRand

Generate exponentially distributed random value upon receiving a trigger.

Traits: AnyType, Copyable, Movable, UnknownDestructibility

TExpRand Parameters

Name	Type	Default	Description
num_chans	Int	1	Number of SIMD channels.

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TExpRand Functions

struct TExpRand . fn init

Initialize the TExpRand struct.

fn init Signature

__init__(out self)

fn init Returns : Self

Static Method

This is a static method.

struct TExpRand . fn next

Output the exponentially distributed random value. The value is repeated until a new trigger is received, at which point a new value is generated. And that new value is repeated until the next trigger, and so on.

fn next Signature

next(mut self, min: SIMD[DType.float64, num_chans], max: SIMD[DType.float64, num_chans], trig: SIMD[DType.bool, num_chans]) -> SIMD[DType.float64, num_chans]

fn next Arguments

Name	Type	Default	Description
min	SIMD	—	Minimum value for the random value.
max	SIMD	—	Maximum value for the random value.
trig	SIMD	—	Trigger to generate a new value.

fn next Returns : SIMD The exponentially distributed random value.

struct TRand

Generate uniformly distributed random value upon receiving a trigger.

Traits: AnyType, Copyable, Movable, UnknownDestructibility

TRand Parameters

Name	Type	Default	Description
num_chans	Int	1	Number of SIMD channels.

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TRand Functions

struct TRand . fn init

Initialize the TRand struct.

fn init Signature

__init__(out self)

fn init Returns : Self

Static Method

This is a static method.

struct TRand . fn next

Output uniformly distributed random value. The value is repeated until a new trigger is received, at which point a new value is generated. And that new value is repeated until the next trigger, and so on.

fn next Signature

next(mut self, min: SIMD[DType.float64, num_chans], max: SIMD[DType.float64, num_chans], trig: SIMD[DType.bool, num_chans]) -> SIMD[DType.float64, num_chans]

fn next Arguments

Name	Type	Default	Description
min	SIMD	—	Minimum value for the random value.
max	SIMD	—	Maximum value for the random value.
trig	SIMD	—	Trigger to generate a new value.

fn next Returns : SIMD The uniformly distributed random value.

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