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Adding caption and Doxygen path

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Carles Fernandez 2016-05-05 20:36:22 +02:00
parent 0881f19a89
commit f3f2e9458b
2 changed files with 4 additions and 5 deletions
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src/algorithms/libs/volk_gnsssdr_module/volk_gnsssdr/Doxyfile.in
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@ -885,7 +885,7 @@ EXAMPLE_RECURSIVE = NO
# that contain images that are to be included in the documentation (see the
# \image command).
IMAGE_PATH =
IMAGE_PATH = @PROJECT_SOURCE_DIR@/docs/images
# The INPUT_FILTER tag can be used to specify a program that doxygen should
# invoke to filter for each input file. Doxygen will invoke the filter program

7
src/algorithms/libs/volk_gnsssdr_module/volk_gnsssdr/README.md
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@ -1,12 +1,12 @@
# Welcome to VOLK_GNSSSDR, the Vector-Optimized Library of Kernels for GNSS-SDR
VOLK_GNSSSDR is a sub-project of GNSS-SDR. This library provides a set of extra kernels that can be used stand-alone or in combination with VOLK's. Please see http://libvolk.org for documentation, source code, and contact information about the original VOLK.
VOLK_GNSSSDR is a sub-project of GNSS-SDR. This library provides a set of extra kernels that can be used stand-alone or in combination with VOLK's. Please see http://libvolk.org for documentation, source code, and contact information about the original VOLK library.
The boilerplate of this code was initially generated with ```volk_modtool```, an application provided by VOLK that creates the skeleton than can then be filled with custom kernels. Some modifications were added to accomodate the specificities of Global Navigation Satellite Systems (GNSS) signal processing. Those changes are clearly indicated in the source code, and do not break compatibility.
This library contains kernels of hand-written SIMD code for different mathematical operations, mainly with 8-bit and 16-bit real and complex data types, offering a platform/architecture agnostic version that will run in all machines, plus other versions for different SIMD instruction sets. Then, the application ```volk_gnsssdr_profile``` runs some iterations of all versions that your machine can execute and annotates which is the fastest, which will then be selected at runtime when executing GNSS-SDR. In this way, we can address at the same time portability (by creating executables that will run in nearly all processor architectures) and efficiency (by providing custom implementations specially designed to take advantage of the specific processor that is running the code).
These kernels have some specific features (e.g. saturation arithmetics) that are aimed to GNSS signal processing, but could make them not suitable for its general use in other applications. Check out the *generic* (that is, plain C) implementation to see what each kernel is actually doing.
These kernels have some specific features (e.g. saturation arithmetics) that are aimed to GNSS signal processing, but could make them not suitable for its general use in other applications. Check out the documentation generated by Doxygen and the *generic* (that is, plain C) implementation to see what each kernel is actually doing.
## How to use VOLK_GNSSSDR:
@ -42,8 +42,7 @@ From now on, GNSS-SDR (and any other program of your own that makes use of VOLK_
This figure shows the role of some VOLK_GNSSSDR kernels in the context of a GNSS baseband processor:
![](./docs/images/VOLK_GNSSSDR_Usage_Example.png)
![Example of VOLK_GNSSSDR usage.](./docs/images/VOLK_GNSSSDR_Usage_Example.png)
If you use VOLK_GNSSSDR in your research and/or software, please cite the following paper: