Noise Source: Difference between revisions

From GNU Radio
Jump to navigation Jump to search
No edit summary
No edit summary
 
(2 intermediate revisions by 2 users not shown)
Line 4: Line 4:
Supports output of type complex, float, int, or short.
Supports output of type complex, float, int, or short.


Args:
== Parameters ==
* Noise Type - the random distribution to use, only Gaussian and Uniform are supported
* Amplitude - the standard deviation of a 1-d noise process. If this is the complex source, this parameter is split among the real and imaginary parts
* Seed - seed for random generators. Note that for uniform and Gaussian distributions, this should be a negative number


Example Flowgraph:
; Noise Type
: The random distribution to use, only Gaussian and Uniform are supported
 
; Amplitude
: The standard deviation of a 1-d noise process. If this is the complex source, this parameter is split among the real and imaginary parts
 
; Seed
: Seed for random generators. If 0, the seed will be selected using the system clock such that the output sequence is different on each run. Use a non-zero seed to get the same output on each run.
 
== Example Flowgraph ==


[[File:Noise-source-ex.png]]
[[File:Noise-source-ex.png]]
== Source Files ==
; C++ files
: [https://github.com/gnuradio/gnuradio/blob/main/gr-analog/lib/noise_source_impl.cc]
; Header files
: [https://github.com/gnuradio/gnuradio/blob/main/gr-analog/lib/noise_source_impl.h]
; Public header files
: [https://github.com/gnuradio/gnuradio/blob/main/gr-analog/include/gnuradio/analog/noise_source.h]
; Block definition
: [https://github.com/gnuradio/gnuradio/blob/main/gr-analog/grc/analog_noise_source_x.block.yml]

Latest revision as of 17:21, 5 March 2024

Produces a "noise" signal using either a Gaussian or Uniform distribution

Supports output of type complex, float, int, or short.

Parameters

Noise Type
The random distribution to use, only Gaussian and Uniform are supported
Amplitude
The standard deviation of a 1-d noise process. If this is the complex source, this parameter is split among the real and imaginary parts
Seed
Seed for random generators. If 0, the seed will be selected using the system clock such that the output sequence is different on each run. Use a non-zero seed to get the same output on each run.

Example Flowgraph

Noise-source-ex.png

Source Files

C++ files
[1]
Header files
[2]
Public header files
[3]
Block definition
[4]