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The neural chip SAND/1 (Simple Applicable Neural Device) was designed to accelerate computations of neural networks at a very low cost basis. Low cost means that only few peripheral chips are necessary to use the neural network chip in applications. The design criterions of the chip are described. A PCI-board was developed and a VME-board is under(More)
Two novel neural chips SAND (Simple Applicable Neural Device) and SIOP (Serial Input-Operating Parallel) are described. Both are highly usable for hardware triggers in particle physics. The chips are optimized for a high input data rate at a very low cost basis. The performance of a single SAND chip is 200 MOPS due to four parallel 16 bit multipliers and 40(More)
A novel neural chip SAND (Simple Applicable Neural Device) is described. It is highly usable for massive parallel neural network computations. The chip is optimized for a high input data rate (50 MHz, 16 bit data) at a very low cost basis. The performance of a single SAND chip is 200 MOPS due to four parallel 16 bit multipliers and 40 bit adders working in(More)
The characteristics of earthquake swarms can neither be described by simple laws nor are the underlying mechanisms presently understood. Swarm activity is often assumed to be caused by an intrusion of uids into the seismogenic zone. We have studied the earthquake catalog of the large earthquake swarm which occurred in the year 2000 in Vogtland, SE-Germany(More)
The main goal of this paper is the unified processing and calculation of 2, 3, 4-port filter data to obtain insertion loss (ISL), modal (common, differential) conversions from input to output, voltage or current transfer functions with the real line impedances. All calculations are based on nodal (single ended) scattering matrix measurements of 2, 3, 4-port(More)
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