Title :
A design method for signal processing in measurement instruments by neural networks
Author :
Daponte, P. ; Grimaldi, D. ; Michaeli, L.
Author_Institution :
Dipartimento di Ing. dell´´Inf. ed Ingegneria Elettrica, Salerno Univ., Italy
Abstract :
This paper deals with a new design method for signal processing in measurement instruments. The operations to be performed on the input signal are represented by simple mathematical and control function blocks in a flow diagram. The paper shows how each block can be replaced by means of appropriately connected neurons. The theoretical analysis and the establishment of design criteria are also given. Some applications, using programmable analog neural network chips in the instrumentation field are finally discussed
Keywords :
analogue processing circuits; analogue-digital conversion; instruments; neural chips; signal sampling; transfer functions; ETANN chip; appropriately connected neurons; circuit simulation; control function blocks; design method; flow diagram; measurement instruments; neural based ADC; programmable analog neural network chips; signal conditioning block design; signal processing; transfer characteristic; Design methodology; Digital signal processing chips; Instruments; Intelligent networks; Neural networks; Neurons; Process control; Semiconductor device measurement; Signal processing; Voltage;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1996. IMTC-96. Conference Proceedings. Quality Measurements: The Indispensable Bridge between Theory and Reality., IEEE
Conference_Location :
Brussels
Print_ISBN :
0-7803-3312-8
DOI :
10.1109/IMTC.1996.507316
