Integrated Information Processing in Wireless (Secure) Communications of Corporate Communication Systems

currently, an integrated approach to the study of information technologies for data (information) transmission is being developed, which provides for the combination of various mathematical methods to solve urgent problems of reducing (removing) noise during data (information) transmission, effectively compressing ultrasonic signals in secure communication channels using the wavelet theory. Converting and modeling signal transmission processes without distortion. In this paper, we investigate the possibility of applying the theory of wavelet transform, which has found application in solving various problems in the field of creating effective wireless (secure) communication in corporate communication systems and proposes an algorithm that makes it possible to estimate the probability of transmission of ultrasonic signals without distortion based on statistical modeling (Monte -Carlo), which allows you to solve problems in conditions when there is an element of uncertainty.