1 files changed, 68 insertions, 0 deletions
diff --git a/gr-digital/python/digital/bindings/decision_feedback_equalizer_python.cc b/gr-digital/python/digital/bindings/decision_feedback_equalizer_python.cc
new file mode 100644
index 0000000000..fa2345f8b5
--- /dev/null
+++ b/gr-digital/python/digital/bindings/decision_feedback_equalizer_python.cc
@@ -0,0 +1,68 @@
+/*
+ * 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/decision_feedback_equalizer.h>
+// pydoc.h is automatically generated in the build directory
+#include <decision_feedback_equalizer_pydoc.h>
+
+void bind_decision_feedback_equalizer(py::module& m)
+{
+
+    using decision_feedback_equalizer = ::gr::digital::decision_feedback_equalizer;
+
+
+    py::class_<decision_feedback_equalizer,
+               gr::sync_decimator,
+               std::shared_ptr<decision_feedback_equalizer>>(
+        m, "decision_feedback_equalizer", D(decision_feedback_equalizer))
+
+        .def(py::init(&decision_feedback_equalizer::make),
+             py::arg("num_taps_forward"),
+             py::arg("num_taps_feedback"),
+             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(decision_feedback_equalizer, make))
+
+
+        .def("set_taps",
+             &decision_feedback_equalizer::set_taps,
+             py::arg("taps"),
+             D(decision_feedback_equalizer, set_taps))
+
+
+        .def("taps",
+             &decision_feedback_equalizer::taps,
+             D(decision_feedback_equalizer, taps))
+
+
+        .def("equalize",
+             &decision_feedback_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(decision_feedback_equalizer, equalize))
+
+        ;
+}