The problem of signal denoising using an orthogonal basis is considered. The framework of previous solutions converts the denoising problem into one of finding a threshold for estimates of basis coefficients. In this paper a new solution to the denoising problem is proposed. The method is based on calculation of the coefficient estimation error in each subspace of the basis. For each subspace, ...

We present an approach to the analysis of signals based on analog representation of measurements. Methodologically, it relies on the consideration and full use of the continuous nature of a realistic, as opposed to an idealized, measuring process. Mathematically, it is based on the transformation of discrete or continuous signals into normalized continuous scalar ­ elds with the mathematical pr...

Deep learning (DL) finds rich applications in the wireless domain to improve spectrum awareness. Typically, DL models are either randomly initialized following a statistical distribution or pretrained on tasks from other domains form of transfer without accounting for unique characteristics signals. Self-supervised (SSL) enables useful representations Radio Frequency (RF) signals themselves eve...

Human stress is a physiological tension that appears when a person responds to mental, emotional, or physical chal-lenges. Detecting human stress and developing methods to manage it, has become an important issue nowadays. Au-tomatic stress detection through physiological signals may be a useful method for solving this problem. In most of the earlier studies, long-term time window was considere...