SPUC - Signal processing using C++ - A DSP library.

The objective of SPUC is to provide the Communications Systems Designer or DSP Algorithm designer with simple, efficient and reusable DSP building block objects. Thus allowing a transition from System design to implementation in either programmable DSP chips or hardwired DSP logic. While Matlab is perhaps the most useful available tool for this purpose, it can be quite slow for simulation and it favors a matrix/block based approach rather than the sample by sample simulations that are often most useful for communications systems design. Also Matlab is generally awkward or inefficient when dealing with several interactive feedback loops where C/C++ is perhaps the most useful environment. For bit-accurate simulations (for VLSI design) C/C++ generally outperforms and is easier to manipulate than Matlab or other GUI-based tools.

This Class Library

1) basic building blocks such as complex data types, Fixed-bit width integer classes, pure-delay blocks, etc.
2) Basic DSP building blocks such as FIR, IIR, Allpass, Running Average, Lagrange interpolation filters, NCO, Cordic rotator.
3) Several communications functions such as timing, phase and frequency discriminators for BPSK/QPSK signals.
4) Other miscellaneous DSP/Communications related functions/classes.
5) Ability to design several types of FIR and IIR filters
6) Various adaptive equalizer classes
7) This library now includes code from IT 3.7.0. Code was modified to work together with SPUC and replace Vector and Matrix classes from TNT.
8) Capitalized and uppercase class names are classes not originally in SPUC
The classes are designed so that they can be used in a simple straight forward manner. For example, a FIR would be initialized with its tap weights and then simply a member function would be called every time a sample is input or an output is required.