mirrors/gnss-sdr
1
0
Fork 0
mirror of https://github.com/gnss-sdr/gnss-sdr synced 2025-02-12 00:50:09 +00:00
Code Issues Releases Wiki Activity

Removing non-defined Pp macro

Browse Source
This commit is contained in:
Carles Fernandez 2014-12-06 10:23:14 +01:00
parent 3872638de2
commit d4f4ef05ae
2 changed files with 1 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
docs/manpage/gnss-sdr-manpage
View File

@ -6,7 +6,7 @@
.SH SYNOPSIS
\fBgnss-sdr -config_file=\fR\fI<path-to-configuration-file>\fR [OPTION]...
.SH DESCRIPTION
.Pp
.PP
\fBgnss-sdr\fR is a Global Navigation Satellite Systems Software Defined Receiver written in C++. It implements all the signal processing chain, taking as input raw samples coming from the output of an Analog-to-Digital Converter, and processing them up to the computation of the Position-Velocity-Time solution, including the generation of code and phase observables.
\.TP
\fBgnss-sdr\fR is able to work with raw data files or, if there is computational power enough, in real time with suitable radiofrequency front-ends. The whole receiver is defined in a single configuration file, and therefore users can define theirs.

1
src/algorithms/libs/volk_gnsssdr_module/volk_gnsssdr/cmake/Packaging/volk_gnsssdr_profile-manpage
View File

@ -6,7 +6,6 @@
.SH SYNOPSIS
\fBvolk_gnsssdr_profile\fR [OPTION]
.SH DESCRIPTION
.PP
The Vector-Optimized Library of Kernels of GNSS-SDR (VOLK_GNSSSDR) is a software library that provides developers with an interface to use Single Input - Multiple Data (SIMD) instructions, which are of special interest for operations that are in the receiver's critical path of the processing load.
.TP
Processors providing SIMD instruction sets compute with multiple processing elements that perform the same operation on multiple data points simultaneously, thus exploiting data-level parallelism, an can be found in most modern desktop and laptop personal computers. In a nutshell, VOLK_GNSSSDR implements in assembly language optimized versions of computationally-intensive operations for different processor architectures that are commonly found in modern computers. In order to use the most optimized version for the specific processor(s) of the host machine running the software receiver (that is, the implementation than runs the fastest).