An Improved Blind Spectrum Sensing Technique for Cognitive Radio Systems
Cognitive radio technology has been proposed as a key solution for the problem of inefficient usage of spectrum bands. Spectrum sensing is one of the most important issues in each cognitive radio system.
Navid Tafaghodi Khajavi +2 more
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Evaluation of blind signal separation methods
Recently many new Blind Signal Separation BSS algorithms have been introduced Authors evaluate the performance of their algorithms in various ways Among these are speech recognition rates plots of separated signals plots of cascaded mixingunmixing impulse responses and signal to noise ratios Clearly not all of these methods give a good reection of the ...
Schobben, D.W.E. +2 more
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Research and Implementation of Localization of Multiple Local Discharge Sources in Switchgear Based on Ultrasound. [PDF]
Xu D +7 more
europepmc +1 more source
Source signal sparsity enhancement based on local maximum synchronous extraction transform algorithm for mixed matrix estimation in UBSS. [PDF]
Li X +5 more
europepmc +1 more source
A Novel Radar Mainlobe Anti-Jamming Method via Space-Time Coding and Blind Source Separation. [PDF]
Ge X, Wang Y, Zheng Y, Jin G, Zhu D.
europepmc +1 more source
Color-filter-array-based multispectral photoplethysmography optical sensor and its motion artifact correction algorithm. [PDF]
Wei Y +6 more
europepmc +1 more source
Vibration-Based Diagnostics of Rolling Element Bearings Using the Independent Component Analysis (ICA) Method. [PDF]
Mika D, Józwik J, Ruggiero A.
europepmc +1 more source
Natural conception and successful delivery after laparoscopic uterine anastomosis for traumatic cervical separation: a case report. [PDF]
Li J +5 more
europepmc +1 more source
Interpreting the Trispectrum as the Cross-Spectrum of the Wigner-Ville Distribution. [PDF]
Kovach CK +5 more
europepmc +1 more source
BLIND SIGNAL SEPARATION APPLICATIONS AND METHODS
Blind signal separation is the task of separating the given mixture signal into two or more corresponding sources. It finds an application in many fields of human activity such as medicine, telecommunications, art and many more and is a crucial task in signal processing.
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