The paper considers the problem of adaptive suppression of interference in signals with measuring information of control objects. To solve this beginning, a device has been synthesized that is capable of separating periodic components from an input signal consisting of a mixture of periodic and broadband signals. The basic structure in the development of an adaptive tracking filter is an adaptive linear adder, in which the least squares method is used as an adaptation algorithm. The adaptive tracking filter is implemented as a program. The program allows you to remove an audio signal from the mixer of a sound card of a personal computer and to perform its division into periodic and non-periodic using an adaptive filtering algorithm. To assess the quality of the adaptive tracking filter, a software application was developed that allows solving the following tasks: searching for signals with latent periodicity and suppressing broadband noise (interference) using an adaptive tracking filter; analysis of input and output signals and their spectra. Experimental results are presented, confirming the results of noise reduction. In the conclusion, the further direction of development associated with the development of a portable autonomous device based on a microcontroller, which will expand the area of possible application of the adaptive tracking filter, is determined.