spuc Documentation

2.3

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

Copyright (C) 1993-2005 Tony Kirke.

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Signal Processing using C++ (SPUC)

Motivation:Why use C++ for DSP Simulation/Modeling?

Todays IC and system designers typically use either C or costly 2^nd party tools to simulate/model Digital Signal Processing algorithms. While the latter are well suited for modeling "hardwired" DSP blocks with rather simplistic dataflows, they are very inefficient for modeling the control logic that is often required in todays DSP applications (such as ADSL or V.34 modems). while C is well suited to control logic type structures (if,else, case, etc.), it is not highly desireable for manipulation of complex or user defined data types (such as fixed width integers).

C++ bridges this gap and is the underlying language of choice for the cumbersome GUI based tools.

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Objective

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.

For downloading files go to

Project Page at Sourceforge

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