From b9169c0c773eb3e035bda38a99847d88b566176e Mon Sep 17 00:00:00 2001
From: Josh Morman <mormjb@gmail.com>
Date: Tue, 28 Apr 2020 12:25:46 -0400
Subject: digital: add python bindings for equalizers+modulate_vector
---
.../digital/bindings/linear_equalizer_python.cc | 63 ++++++++++++++++++++++
1 file changed, 63 insertions(+)
create mode 100644 gr-digital/python/digital/bindings/linear_equalizer_python.cc
(limited to 'gr-digital/python/digital/bindings/linear_equalizer_python.cc')
diff --git a/gr-digital/python/digital/bindings/linear_equalizer_python.cc b/gr-digital/python/digital/bindings/linear_equalizer_python.cc
new file mode 100644
index 0000000000..7697a0e0e2
--- /dev/null
+++ b/gr-digital/python/digital/bindings/linear_equalizer_python.cc
@@ -0,0 +1,63 @@
+/*
+ * Copyright 2020 Free Software Foundation, Inc.
+ *
+ * This file is part of GNU Radio
+ *
+ * SPDX-License-Identifier: GPL-3.0-or-later
+ *
+ */
+
+/* This file is automatically generated using bindtool */
+
+#include <pybind11/complex.h>
+#include <pybind11/pybind11.h>
+#include <pybind11/stl.h>
+
+namespace py = pybind11;
+
+#include <gnuradio/digital/linear_equalizer.h>
+// pydoc.h is automatically generated in the build directory
+#include <linear_equalizer_pydoc.h>
+
+void bind_linear_equalizer(py::module& m)
+{
+
+ using linear_equalizer = ::gr::digital::linear_equalizer;
+
+
+ py::class_<linear_equalizer, gr::sync_decimator, std::shared_ptr<linear_equalizer>>(
+ m, "linear_equalizer", D(linear_equalizer))
+
+ .def(py::init(&linear_equalizer::make),
+ py::arg("num_taps"),
+ py::arg("sps"),
+ py::arg("alg"),
+ py::arg("adapt_after_training") = true,
+ py::arg("training_sequence") = std::vector<gr_complex>(),
+ py::arg("training_start_tag") = "",
+ D(linear_equalizer, make))
+
+
+ .def("set_taps",
+ &linear_equalizer::set_taps,
+ py::arg("taps"),
+ D(linear_equalizer, set_taps))
+
+
+ .def("taps", &linear_equalizer::taps, D(linear_equalizer, taps))
+
+
+ .def("equalize",
+ &linear_equalizer::equalize,
+ py::arg("input_samples"),
+ py::arg("output_symbols"),
+ py::arg("num_inputs"),
+ py::arg("max_num_outputs"),
+ py::arg("training_start_samples") = std::vector<unsigned int>(0),
+ py::arg("history_included") = false,
+ py::arg("taps") = nullptr,
+ py::arg("state") = nullptr,
+ D(linear_equalizer, equalize))
+
+ ;
+}
--
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