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.