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Inverse filter circuit 

Inverse filter circuit 

Source publication
Chapter
Full-text available
In this paper, we consider the role of inverse problems in metrology. We describe general methods of solving inverse problems which are useful in measurements practice. We also discuss how to modify these methods in situations in which there is a need for real -time data processing.

Contexts in source publication

Context 1
... This is reasonable in spectroscopy and chromatography, but in processing dynamic signals, we often need to produce results in real time, before all the measurements are finished. This can be achieved by using an inverse filter, which can be physically implemented as one or several sequential dynamically stable circuits. An example is given on Fig. 2. ...
Context 2
...  is its time constant and 0 K is gain coefficient for static mode. In this case, if values of R and C for inverse filter (Fig. 2) are such that   C R , then series of the gauge and the inverse filter placed after it will have CFC equal ...
Context 3
... the order of CFC for the measurement device is larger than one, then the quantity of first-order inverse filters (Fig. 2) that should be concatenated one after another is the same as the order value. The positive result can be achieved with individual tuning of gain and parameters R and C for every first-order circuit. The inverse problem solution can be achieved using the similar inverse filters even for converters whose CFC order cannot be ...
Context 4
... us take into consideration case N = 1. The CFC approximation has the first order. So, we can use the simplest inverse filter as presented on Fig. 2. Good AFC correction will be obtained if we choose amplifier's gain equal to K = 500 and time constant for filter ...

Citations

Conference Paper
Full-text available
The article discusses the detection criteria for fire using two levels of temperature sensors at an optimal distance across a z-plane in a room. The values of standard deviation and rate of change of temperature across both levels of sensors were examined to discourse the benefits of the proposed criteria. The design and simulations were modeled in Fire Dynamics Simulator (FDS) and PyroSim on “Polytechnic” super computer to view results in the SmokeView.