A model of parallel sorting neural network of discrete-time is presented. The model is described by a system of differential equations and by step functions. The network has high speed, any finite resolution of input data and it can process unknown input data of finite values located in arbitrary finite range. The network is characterized by moderate computational complexity and complexity of hardware implementation. The results of computer simulation illustrating the efficiency of the network are provided.
Established dependence among levels of gray from screen frequency of rastr for constant
values of resolution of CtP devices. Recommendations on the choice of screening parameters
for devices of CtP system.
Using the analogue neural circuit of maximal value signals from signal set identification is proposed for information retrieval in data sets. The circuit is fast, it has simple structure and can be implemented in a modern hardware. A resolution of the circuit is theoretically infinite and it is not dependent on a value of its parameter. An average time necessary for trajectory convergence of the circuit state variable to a steady state is not dependent on a dimension of input data.
The aim of the work is to increase the resolution of IR images obtained as a result of monitoring thermal objects. Methodology. It is known, an optical system сan not date a CCD point picture thermal object. Instead picture diffraction spots, have significant deterioration in quality thermal image which has a reduced effect with defraction. This is an urgent system task useful in the formative and processing signal.
High resolution cathode-ray tube (CRT) uses in television optical microscope (TOM) for lighting of investigated microobject (MO) [1–4]. Light, which goes through investigated MO, or reflected from it, projects on photosensitive target of photoelectron multiplier (PEM). On the output of PEM is generated electrical signal. Amplitude of this signal corresponds to the light, which coming from investigated MO. This signal is used to display researched MO image on television screen or personal computer screen.
A mathematical model of the influence of major factors on the resolution of space imaging systems is presented. The dependence of modulation transfer function by the factors affecting on image quality and the natural conditions of imaging is determined.