Signal processing of GPS radio shadows formed by moving targets

This paper focuses on scientific issues related to new application of GPS in the construction and development of radar networks using the effect of Forward Scatter (FS) of electromagnetic waves for detection of objects by using of their GPS radio shadows. The paper theme is new, it combines two thematic areas: processing of GPS signals and processing of radar signals in FS radar […]

On potential effectiveness of integration of 3M Littmann 3200 electronic stethoscopes into the third-party diagnostic systems with auscultation signal processing

The paper deals with considering the possibility of integration of 3M Littmann 3200 electronic stethoscopes in future Telemedicine networks with a function of server processing and analysis of auscultation data. General features and operation parameters of the stethoscope are analyzed and its frequency response for various regimes of frequency filtration is obtained. The shortcomings lowering the potential […]

Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis

The widespread use of multisensor technology and the emergence of big data sets have highlighted the limitations of standard flat-view matrix models and the necessity to move toward more versatile data analysis tools. We show that higher-order tensors (i.e., multiway arrays) enable such a fundamental paradigm shift toward models that are essentially polynomial, the uniqueness […]

Signal Processing in the Workplace [Social Sciences]

In this paper, a framework developed with collaborators in organizational psychology is described, aimed at inferring high-level constructs of interest in the workplace from nonverbal behavior. We summarize our experience tackling two tasks: identifying emergent leaders in small groups and assessing the hirability of candidates in employment interviews. The examples discussed in this paper have […]

Creating Analytic Online Homework for Digital Signal Processing [sp Education]

An article by W.L. Everitt in the 1962 50th anniversary issue of Proceedings of the IEEE, ?Engineering Education?Circa 2012 A.D.,? was one of many predictive articles that appeared in that issue [1]. One of Everitt?s observations was the distinction between training and education. He then predicted that, in the future, training will be done primarily […]

Signal processing techniques for vital sign monitoring using mobile short range doppler radar

This paper investigates mobile noncontact vital sign monitoring device for short range application. The radar module is mounted on a programmable linear stage, and precise stage movements are monitored by an optical tracking system. The motion artifacts due to radar system movements are removed using IIR filter and adaptive noise cancellation techniques. The system is […]

Processing of phase-shift keyed pseudo noise signals of underwater acoustic systems with the Doppler effect

This article is devoted to the development of an algorithm for processing underwater acoustic phase-shift keyed pseudo noise signals with Doppler effect compensation. An important criterion in the development was to reduce the computational complexity, since it is supposed to be used in autonomous underwater vehicles and systems. Within the framework of the study a review of the methods […]

A Stimulus Artifact Removal Technique for SEMG Signal Processing During Functional Electrical Stimulation

Goal: The purpose of this study was to design a method for extracting the volitional EMG from recorded surface electromyography (EMG), contaminated by functional electrical stimulation (FES) artifact. Methods: Considering that the FES artifact emerges periodically with rather large amplitude in nonstationary EMG, we designed an adaptive-matched filter (AMF) via genetic algorithm (GA) optimization. Both […]

A Novel Algorithm for EMG Signal Processing and Muscle Timing Measurement

This paper presents a new method for the automated processing of surface electromyography (SEMG)signals, particularly suited for the detection of muscle activation timing. The method has an intermediate level of complexity between simpler (but less performing) and more complex (but in general slower) methods, and is successfully used in the development of biomedical devices for rehabilitation carried […]

Modelling of complex signals using gaussian processes

In complex-valued signal processing, estimation algorithms require complete knowledge (or accurate estimation) of the second order statistics, this makes Gaussian processes (GP) well suited for modelling complex signals, as they are designed in terms of covariance functions. Dealing with bivariate signals using GPs require four covariance matrices, or equivalently, two complex matrices. We propose a GP-based approach for modelling complex signals, whereby the […]