Efficient implementation of a serial/parallel multiplier for IP based development and rapid prototyping in VLSI digital signal processing

2003 ◽  
Author(s):  
K.D. Adaos ◽  
G.P. Alexiou ◽  
N. Kanopoulos
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Rapid Prototyping ◽  
Digital Signal ◽  
Efficient Implementation ◽  
Parallel Multiplier

Rapid Prototyping of Fuzzy Logic Controllers

1996 ◽  
Author(s):  
Kevin J. Gorman ◽  
Kourosh J. Rahnamai
Keyword(s):  
Signal Processing ◽  
Fuzzy Logic ◽  
Digital Signal Processing ◽  
Rapid Prototyping ◽  
Real Time ◽  
Digital Signal ◽  
Fuzzy Logic Controllers ◽  
Graphical Interfaces ◽  
Logic Inference ◽  
Logic Controllers

Abstract The rapid prototyping of fuzzy logic controllers is accomplished by using the tools Matlab, Simulink, Fuzzy Logic Toolkit, and Real-Time Workshop. Device drivers were developed for Simulink for interfacing with DT2801 and DT2821 data acquisition boards. The fuzzy logic inference engine for the Fuzzy Logic Toolkit was modified to allow the systems to work as independent programs and to be downloadable to DSP (Digital Signal Processing) boards. Simulink is used to graphically implement fuzzy logic controllers. The Real-Time Workshop is used to compile blocks from Simulink into C code, then into an independent executable program, both on the PC and a dSpace DSP (Digital Signal Processing) board. Graphical interfaces are created and debugged by using dSPACE’s tools, Cockpit and Trace. By combining these tools, real-time fuzzy logic controllers are developed in laboratory environments.

Modified Distributed Arithmetic Concept for Implementations Targeted at Heterogeneous FPGAs

2010 ◽  
Vol 56 (4) ◽  
pp. 345-350
Author(s):  
Mariusz Rawski
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Efficient Implementation ◽  
Heterogeneous Structure ◽  
Distributed Arithmetic ◽  
Architecture Exploration ◽  
Flexible Architecture ◽  
Heterogeneous Fpga

Modified Distributed Arithmetic Concept for Implementations Targeted at Heterogeneous FPGAsDistributed Arithmetic (DA) plays an important role in designing digital signal processing modules for FPGA architectures. It allows replacing multiply-and-accumulate (MAC) operations with combinational blocks. The quality of implementations based on DA strongly depends on efficiency of methods that map combinational DA block into FPGA resources. Since modern FPGAs have heterogeneous structure, there is a need for quality algorithms to target these structures and the need for flexible architecture exploration aiding in appropriate mapping. The paper presents a modification of DA concept that allows for very efficient implementation in heterogeneous FPGA architectures.

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