Source that streams T items based on the input vector. This block produces a stream of samples based on an input vector. In C++, this is a std::vector<T>, and in Python, this is either a list or tuple. The data can repeat infinitely until the flowgraph is terminated by some other event or, the default, run the data once and stop.
The vector source can also produce stream tags with the data. Pass in a vector of gr::tag_t objects and they will be emitted based on the specified offset of the tag.
GNU Radio provides a utility Python module in gr.tag_utils to convert between tags and Python objects: gr.tag_utils.python_to_tag.
- Vector (R)
- Vector to be generated
- Tags (R)
- We can create tags as Python lists (or tuples) using the list structure [int offset, pmt key, pmt value, pmt srcid]. It is important to define the list/tuple with the values in the correct order and with the correct data type. A python dictionary can also be used using the keys: "offset", "key", "value", and "srcid" with the same data types as for the lists.
- When given a list of tags, the vector source will emit the tags repeatedly by updating the offset relative to the vector stream length. That is, if the vector has 500 items and a tag has an offset of 0, that tag will be placed on item 0, 500, 1000, 1500, etc.
- Whether or not to repeat the vector when it's done
- Vec Length
Insert description of flowgraph here, then show a screenshot of the flowgraph and the output if there is an interesting GUI. Currently we have no standard method of uploading the actual flowgraph to the wiki or git repo, unfortunately. The plan is to have an example flowgraph showing how the block might be used, for every block, and the flowgraphs will live in the git repo.
- C++ files
- Header files
- Public header files
- Block definition