A bit more of text to README

README.md

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 | [![Build Status](https://travis-ci.org/hbe72/cdsp.svg?branch=develop)](https://travis-ci.org/hbe72/cdsp) | [![Build status](https://ci.appveyor.com/api/projects/status/1q4y3h8vy8t1kn5e/branch/develop?svg=true)](https://ci.appveyor.com/project/hbe72/cdsp/branch/develop)|
 
-CDSP is a header only DSP library written with [CNL](https://github.com/johnmcfarlane/cnl)
-aiming for floating point and fixed-point implementation of typical DSP kernels.   
+CDSP is a header only DSP library written with
+[CNL](https://github.com/johnmcfarlane/cnl) aiming for floating point and 
+fixed-point implementation of typical DSP kernels.
+
+Algorithm designers often start with [Matlab](https://www.mathworks.com/), 
+[Scipy](https://www.scipy.org), [R](https://www.r-project.org/) or maybe
+[Julia](https://julialang.org/) and get the algorithm designed on very high 
+level with a floating-point datatype. For real-time applications the final 
+target is often fixed-point DSP, FPGA or ASIC. Manual porting of the algorithm 
+to fixed-point is needed which can lead to three separate algorithm source 
+codes: original algorithm in floating-point, fixed-point design of the same and
+the final implementation on the target. Keeping them in synchronization is a
+nightmare.
+
+CDSP library shows how with [CNL](https://github.com/johnmcfarlane/cnl) single 
+source code can provide full implementation. Minimally, CDSP can provide both 
+floating-point and fixed-point designs from the same source code. In the case 
+compliant C++ compiler exists for the target the final implementation is done 
+as well.
+
+CDSP fixed-point implementations are measured against their floating point 
+counterparts in terms of numerical accuracy. At this point performance with 
+Cirrus ADSP2 fixed-point datatypes have been tested and separately verified 
+against native Cirrus ADSP2 implementation. Composing new datatype 
+with [CNL](https://github.com/johnmcfarlane/cnl) and specializing the lowest
+level of core CDSP kernels is quite straight forward to support other 
+architectures such as Qualcomm, TI DSPs and other application specific 
+processors.
+
+## Requirements 
+
+Requirements are the same as with [CNL](https://github.com/johnmcfarlane/cnl).
+CDSP installs [CNL](https://github.com/johnmcfarlane/cnl) and CDSP side-by-side
+and the only prerequisites are listed below.
 
-## Requirements are the same as with [CNL](https://github.com/johnmcfarlane/cnl)
 ### Linux
 Requires:
 * GCC 5.1 / Clang 3.5