обробка сигналів

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.

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.

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.