digital signal processing

REDUCING THE COMPUTATIONAL COMPLEXITY OF FINITE IMPULSE RESPONSE FILTERS IN INTEGRATED SYSTEMS

The problem of optimizing finite impulse response (FIR) digital filters is relevant in the context of limited computational resources of embedded systems. Existing methods for implementing FIR filters often lead to significant energy consumption and processing time, which limits their application in real-world conditions. The objective of this work is to develop methods for optimizing FIR filters to reduce computational complexity and ensure efficient operation on embedded systems with limited resources.

Comparative analysis of digital noise generated by additive Fibonacci generators

Noise generators and pseudorandom number generators (PRNGs) are widely used in the field of information technology, including cybersecurity, for modeling, authorization key generation, and technical protection of information. It has been found that the characteristics of digital noise directly depend on the chosen PRNG algorithm. To determine the quality of the generated noise, special tests are performed, which are primarily applied to the sequence generated by the PRNG.

The system of dynamic radiomonitoring of the environmental parameters

The environmental monitoring systems that display the obtained results on a dedicated site in the Internet are considered. The most common systems consist of one or more measuring devices that form the measuring system located in a controlled stationary object. Such objects can be large settlements and ecologically dangerous enterprises. Each measuring device generates data about the coordinates of it’s location (longitude, latitude) and the levels of controlled environmental parameters.