signal processing

Predictive maintenance – a major field for the application of computer aided systems

Predictive maintenance is a widely applied maintenance program that requires extensive support of computer aided systems. The program uses specific procedures that are to be addressed when developing predictive maintenance software solutions. Despite the fact that software solutions for predictive maintenance were introduced almost at the same time as the program emerged, it still remains a very actual field for the application of computer aided systems.


The work is devoted to the problem of frequency-selective signal conversion in microelectronic sensor devices. It has been shown that the signal path of such devices, in particular, sensor nodes in the concept of the Internet of Things, must meet the requirements of embedded systems using a mixed analog-digital front end. The analysis of the signal transformation of photovoltaic sensors, in particular the problem of a significant parasitic influence of extraneous non-informative optical radiation and electromagnetic interference, has been carried out.

The Features of Microcontroller Systems of Digital Signal Processing

The possibility of creating inexpensive and widely available real-time signal processing devices to solve scientific and technical tasks based on a microcontroller, which is an alternative to the use of specialized digital signal processors, has been investigated. It is shown that the bit rate, clock speed, instruction speed are the basic parameters that are necessary for the implementation of algorithms for digital signal processing based on the microcontroller.

Effect of the Data Bit Width on the Angle Accuracy of the Induction Sensors

The accuracy analysis method for determining the signal phase of the induction encoder depending on the digit capacity of the input data obtained from the sensor via analog-to-digital converter presented in this article. The phase determining method based on a known method using the invers tangent and invers cotangent functions, which found the maximum and RMS errors depending on the digit capacity of the input data.

Internet Information Retrieval, Parallel Sorting, and Rank-Order Filtering Based on Dynamical Neural Circuits of Maximal Value Signal Identification Among Discrete-Time Signals

The design of mathematical models and corresponding functional block-diagrams of discrete-time neural networks for Internet information retrieval, parallel sorting, and rankorder filtering is proposed. The networks are based on the discrete-time dynamical K-winnerstake-all (KWTA) neural circuits which can identify the K largest from N input signals, where 1£ < K N is a positive integer. Implementation prospects of the networks in an up-to date digital hardware are outlined.

State and prospects of computerized systems monitoring the topology of surfaces, based on white light interferomertry

This paper describes a computerized system for object topology control based on a white light interferometer. The theoretical fundamentals of white light interferometry and mathematical model of an inter­ferogram are presented. An overview and comparative analysis of methods for the reconstruction of the topology of surfaces based on a white light interferogram are performed, their main advantages and disadvantages are defined, and the objectives for the development of computerized systems are formulated.