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Thursday, August 6, 2020 | History

1 edition of Robust Technology with Analysis of Interference in Signal Processing found in the catalog.

Robust Technology with Analysis of Interference in Signal Processing

by Telman Aliev

  • 226 Want to read
  • 24 Currently reading

Published by Springer US, Imprint, Springer in Boston, MA .
Written in English


About the Edition

Robust Technology with Analysis of Interference in Signal Processing discusses for the first time the theoretical fundamentals and algorithms of analysis of noise as an information carrier. On their basis the robust technology of noisy signals processing is developed. This technology can be applied to solving the problems of control, identification, diagnostics, and pattern recognition in petrochemistry, energetics, geophysics, medicine, physics, aviation, and other sciences and industries. The text explores the emergent possibility of forecasting failures on various objects, in conjunction with the fact that failures follow the hidden microchanges revealed via interference estimates. This monograph is of interest to students, postgraduates, engineers, scientific associates and others who are concerned with the processing of measuring information on computers.

Edition Notes

Statementby Telman Aliev
The Physical Object
Format[electronic resource] /
Pagination1 online resource (213 pages)
Number of Pages213
ID Numbers
Open LibraryOL27085872M
ISBN 101461500931
ISBN 109781461500933
OCLC/WorldCa840283231

This book brings together papers from the International Conference on Communications, Signal Processing, and Systems, which was held in Urumqi, China, on July 20–22, Presenting the latest developments and discussing the interactions and links between these multidisciplinary fields. Covers both terrestrial and satellite systems Maximizing wireless system capacity and performance: a practical tutorial Robust Modulation Methods & Smart Antennas in Wireless Communications is a systematic, practical tutorial covering each key technology for maximizing the capacity and performance of wireless systems.

Dear Colleagues, Signal processing and visual computing research plays an important role in industrial and scientific applications. With the rapid advance of sensor technology, a vast and ever-growing amount of data (i.e., Big Data) in various domains and modalities is readily available, for example, videos captured by a camera network. The aim has been to provide the reader with the mathematical methods required for signal analysis which are then used to develop models and algorithms for processing digital signals and finally to encourage the reader to design software solutions for Digital Signal Processing (DSP).

The journal has a special emphasis on statistical signal processing methodology such as Bayesian signal processing, and encourages articles on emerging applications of signal processing such as: • machine learning. • internet of things. • information security. • systems biology and computational biology. • financial time series analysis. Convex Optimization in Signal Processing and Communications Over the past two decades there have been significant advances in the field of optimiza-tion. In particular, convex optimization has emerged as a powerful signal-processing tool, and the range of applications continues to .


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Robust Technology with Analysis of Interference in Signal Processing by Telman Aliev Download PDF EPUB FB2

Robust Technology with Analysis of Interference in Signal Processing discusses for the first time the theoretical fundamentals and algorithms of analysis of noise as an information carrier. On their basis the robust technology of noisy signals processing is developed.

This technology can be appliedBrand: Springer US. Robust Technology with Analysis of Interference in Signal Processing discusses for the first time the theoretical fundamentals and algorithms of analysis of noise as an information carrier.

On their basis the robust technology of noisy signals processing is developed. Robust Technology with Analysis of Interference in Signal Processing discusses for the first time the theoretical fundamentals and algorithms of analysis of noise as an information carrier.

Rating: (not yet rated) 0 with reviews - Be the first. COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus.

Robust Adaptive Beamforming (Wiley Series in Telecommunications and Signal Processing Book 88) - Kindle edition by Li, Jian, Stoica, Petre. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Robust Adaptive Beamforming (Wiley Series in Telecommunications and Signal Processing Book 88)/5(2).

Abstract. In practice the measuring information obtained from many real processes is the mixture of the useful signal X(t) and the noise ε(t).It is known that in calculating the functions for the case when the correlation between the useful signal and the noise is equal to zero for µ = 0 (τ= 0), the value R(τ = 0) is determined by means of the expression R(µ = 0) = = R xx (µ = 0) + D : Telman Aliev.

Recent work has made great strides toward devising robust adaptive beamformers that vastly improve signal strength against background noise and directional interference.

This dynamic technology has diverse applications, including radar, sonar, acoustics, astronomy, seismology, communications, and medical imaging.

Time-Frequency Signal Analysis and Processing (TFSAP) is a collection of theory, techniques and algorithms used for the analysis and processing of non-stationary signals, as found in a wide range of applications including telecommunications, radar, and biomedical engineering.

This book gives the university researcher and R&D engineer insights into how to use TFSAP methods to develop and. The statistical bootstrap is a powerfool tool in signal processing. This book covers the foundations of the bootstrap, its properties, its strengths, and its limitations.

The authors focus on bootstrap signal detection in Gaussian and non-Gaussian Cited by: Robust Technology with Analysis of Interference in Signal Processing; Theory and technology for robust correlation and spectral analysis of noisy signals that allows for eliminating the effects of noise on the processing results in the case of non-compliance with such classical conditions as the normal distribution law and absence of a Alma mater: Azerbaijan Oil and Chemistry Institute.

Theoretical analysis of the interference suppression principle is analyzed in detail, and some simulation results are presented to evaluate the performance of the proposed beamformer. For a detailed theoretical analysis of robust statistics, the reader is referred to classical textbooks [13,42,43], or the recent works [14, 44] for its application to a variety of signal.

This book presents an alternative and simplified approaches for the robust adaptive detection and beamforming in wireless communications. It adopts several systems models including DS/CDMA, OFDM/MIMO with antenna array, and general antenna arrays beamforming model.

It presents and analyzes recently developed detection and beamforming algorithms with an emphasis on Author: Ayman Elnashar.

Recently, various algorithms for radar signal detection that rely heavily upon complicated processing and/or antenna architectures have been the subject of much interest.

These techniques owe their genesis to several factors. One is revolutionary technological advances in high-speed signal processing hardware and digital array radar technology. Time-Frequency Signal Analysis and Processing (TFSAP) is a collection of theory, techniques and algorithms used for the analysis and processing of non-stationary signals, as found in a wide range of applications including telecommunications, radar, and biomedical engineering.

This book gives the university researcher and R&D engineer insights. Recent work has made great strides toward devising robust adaptive beamformers that vastly improve signal strength against background noise and directional interference.

This dynamic technology has diverse applications, including radar, sonar, acoustics, astronomy, seismology, communications, and medical imaging.

In this paper, our focus is on building a robust signal preprocessing framework for wrist pulse analysis. We first introduce the proposed pulse acquisition platform and specify the inherent properties of the coarser pulse data.

Then, a cascade filter based on frequency-dependent analysis is proposed for the wrist pulse by: The Interference Threat; Classification of Interfering Sources and Analysis of the Effects on GNSS Receivers; The Spoofing Menace; Analytical Assessment of Interference on GNSS Signals; Interference Detection Strategies; Classical Digital Signal Processing Countermeasures to Interference in GNSS; Interference Mitigation Based on Transformed Domain Techniques; Anti-Spoofing Techniques for GNSS.

Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process.

The observation signals are often distorted, incomplete and noisy and therefore noise reduction, the removal.

Bala and V. Monga, "Video Anomaly Detection", in Computer Vision and Imaging in Intelligent Transportation Systems, Loce, Mohan Trivedi and Raja Bala, IEEE Wiley Press, May V.

Monga, N. Damera-Venkata and B. Evans, "Color Image Halftoning", invited book chapter in Color Image Processing: Methods and Applications, tinos N. Plataniotis, Electrical Engineering. Appropriate for all courses in wireless receiver design, and for advanced courses in signal processing.

As the performance and power requirements for wireless devices become increasingly challenging, engineers have recognized that advanced signal processing techniques are more crucial than ever.

This book presents a unified framework for understanding the state-of-the-art in signal processing Reviews: 1.The latest research and developments in robust adaptive beamforming Recent work has made great strides toward devising robust adaptive beamformers that vastly improve signal strength against background noise and directional interference.

This dynamic technology has diverse applications, including radar, sonar, acoustics, astronomy, seismology, communications, and medical imaging.S. Ghofrani, M. G. Amin, and Y. D. Zhang, “High-resolution direction finding of non-stationary signals using matching pursuit,” Signal Processing, special issue on Advances in Sensor Array Processing in Memory of Alex B.

Gershman, vol. 93 (), p.Dec.