Merge pull request #42 from iguinn/main

Added more information to README

README.md

@@ -1,5 +1,14 @@
-# dspeed
-
+```
+_____  _________________________________________________________________
+     ||                  ____  _____  ____                   __          `,_
+     ||                 / __ \/ ___/ / __ \ ___   ___   ____/ /           | `-_
+ []  ||  [] [] [] []   / / / /\__ \ / /_/ // _ \ / _ \ / __  /  [] [] []  '-----`-,_
+ ====||===============/ /_/ /___/ // ____//  __//  __// /_/ /====================== ``--,_
+     ||              /_____//____//_/     \___/ \___/ \__,_/                              ``--,
+     ||    ________                                                        ________            )
+\____||___/.-.  .-.\______________________________________________________/.-.  .-.\_____,,--''
+==========='-'=='-'========================================================'-'=='-'=============
+```
 [![PyPI](https://img.shields.io/pypi/v/dspeed?logo=pypi)](https://pypi.org/project/dspeed/)
 ![GitHub tag (latest by date)](https://img.shields.io/github/v/tag/legend-exp/dspeed?logo=git)
 [![GitHub Workflow Status](https://img.shields.io/github/checks-status/legend-exp/dspeed/main?label=main%20branch&logo=github)](https://github.com/legend-exp/dspeed/actions)
@@ -10,3 +19,10 @@
 ![GitHub pull requests](https://img.shields.io/github/issues-pr/legend-exp/dspeed?logo=github)
 ![License](https://img.shields.io/github/license/legend-exp/dspeed)
 [![Read the Docs](https://img.shields.io/readthedocs/dspeed?logo=readthedocs)](https://dspeed.readthedocs.io)
+
+# DSPeed
+DSPeed (pronounced dee-ess-speed) is a python-based package that performs bulk, high-performance digital signal processing (DSP) of time-series data such as digitized waveforms. This package is part of the [pygama](https://github.com/legend-exp/pygama) scientific computing suite.
+
+DSPeed enables the user to define an arbitrary chain of vectorized signal processing routines that can be applied in bulk to waveforms and other data provided using the [LH5-format](https://legend-exp.github.io/legend-data-format-specs). These routines can include numpy ufuncs, custom functions accelerated with numba, or other arbitrary functions. DSPeed will carefully manage file I/O to optimize memory usage and performance. Processing chains are defined using highly portable JSON files.
+
+See the [online documentation](https://dspeed.readthedocs.io/en/stable/) for more information!