Variables in Flowgraphs

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Revision as of 03:57, 7 March 2022 by 69.196.152.39 (talk) (→‎Basic Variables: fixup grammar)
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Beginner Tutorials

Introducing GNU Radio

  1. What is GNU Radio?
  2. Installing GNU Radio
  3. Your First Flowgraph

Flowgraph Fundamentals

  1. Python Variables in GRC
  2. Variables in Flowgraphs
  3. Runtime Updating Variables
  4. Signal Data Types
  5. Converting Data Types
  6. Packing Bits
  7. Streams and Vectors
  8. Hier Blocks and Parameters

Creating and Modifying Python Blocks

  1. Creating Your First Block
  2. Python Block With Vectors
  3. Python Block Message Passing
  4. Python Block Tags

DSP Blocks

  1. Low Pass Filter Example
  2. Designing Filter Taps
  3. Sample Rate Change

This tutorial describes how to use variables in a flowgraph. The flowgraph from a previous tutorial (Your First Flowgraph) will be used as a starting point for this tutorial, so please complete it beforehand.

The previous tutorial, Python Variables in GRC, describes how GRC uses Python data types and how their values are displayed in Variable blocks. The next tutorial, Runtime Updating Variables, demonstrates how variables can be updated while a flowgraph is running.

Basic Variables

A GNURadio flowgraph is a .py Python file. Just as Python code can have variables so too can a GNURadio flowgraph by using the Variable block.

Every new flowgraph starts with the samp_rate variable:

VariableSampRate.png


GNURadio blocks are implemented as functions and can take parameters which modify their behavior. All of the blocks in the flowgraph above use samp_rate as a parameter. Create a new variable block by dragging and dropping it from the block library on the right:

NewVariableBlock.png


Double-click the variable_0 block to view and modify its parameters.

VariableProperties.png


The Id field is the name of the variable. The variable is going to represent the frequency of the Signal Source block, so edit the name to frequency. Now edit the value to 4000.

FrequencyVariable.png

Click OK to save.

Double-click the Signal Source block to modify its parameters:

SignalSourceProperties.png


You'll notice that samp_rate is the variable being used for the Sample Rate but Frequency is hard coded to 1000. Enter frequency into the Frequency field:

SignalSourceFrequency.png


Click OK to save the properties. You'll notice that the frequency variable name has been updated as well as the parameter within the Signal Source block:

FlowgraphWithFrequencyVariable.png


Re-run the flowgraph:

FlowgraphNewFrequencyOutput.png


You'll notice that the peak of the frequency response has moved to 4,000 due to the variable that was added.

Dependent Variables

Variables can be dependent on one another in the same way variables in Python can be derived from other variables.

The Id and Value fields are converted into a line of Python in the following manner:

Id = Value

Previously the frequency variable was modified to accept the value 4000, which is the same as a line of Python code:

frequency = 4000

The frequency variable can also be dependent on another variable. Edit frequency such that it is now samp_rate/3, which for samp_rate = 32000 will be a frequency of 10,667.

ExampleDependentVariable.png


The change will now ripple through the flowgraph:

UpdatedFrequencyFlowgraph.png


Re-running the flowgraph shows that the frequency has been updated:

FrequencySinkUpdatedFrequency.png


The next tutorial, Runtime Updating Variables, demonstrates how variables can be updated while a flowgraph is running.