Neural Network Processor for a FPGA-based Multiband Fluorometer Device

Author

Tabari, Karima ; Boukadoum, Mounir ; Bensaoula, Abdelhak ; Starikov, David

Author_Institution

Univ. du Quebec a Montreal, Montreal

fYear

2006

Firstpage

198

Lastpage

202

Abstract

We describe the design of an embedded neural network for signal processing in a small size, battery operated multiband fluorometer device with pattern recognition capabilities. The network was implemented in a Xilinx Spartan 3 FPGA with a microBlaze soft CPU core. The microBlaze subsystem occupied 527 slices and required 16 kB of RAM for program and data storage. It handled all the neural network functions of spectral signature analysis and pattern recognition and had a processing speed of 1 ms per input pattern. The microBlaze CPU also managed user interaction. The whole system fit in a XC3S400 device.

Keywords

field programmable gate arrays; neural chips; signal processing equipment; spectral analysis; spectrochemical analysis; FPGA-based multiband fluorometer device; embedded neural network; neural network processor; signal processing; spectral signature analysis; Computer architecture; Contamination; Field programmable gate arrays; Fluorescence; Neural networks; Optical noise; Pattern recognition; Pollution measurement; Principal component analysis; Wavelength measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Architecture for Machine Perception and Sensing, 2006. CAMP 2006. International Workshop on

Conference_Location

Montreal, Que.

Print_ISBN

978-1-4244-0685-2

Electronic_ISBN

978-1-4244-0686-9

Type

conf

DOI

10.1109/CAMP.2007.4350381

Filename

4350381