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Processing Spatiotemporal Signals Recorded Linear Array
2020 1st International Conference Problems of Informatics, Electronics, and Radio Engineering (PIERE), 2020The paper proposes and describes an algorithm for processing signals with a random initial phase, which are fed to the elements of a linear digital antenna array, in the presence of internal noise and external interference. The algorithm is based on the mathematical description of signals and active interference as multidimensional spatiotemporal ...
Daria N. Zima, Alexandr A. Spector
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Array processing for wideband biological signals
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1992In this paper we present array processing techniques used to discriminate between propagating wideband biological signals. Velocity and frequency responses for a circular array designed to enhance nerve signal from a desired direction while rejecting myoelectric signal from any direction are presented.
J. L. Berube, P. A. Parker, R. N. Scott
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Applications of Array Signal Processing
2014Abstract Array Signal Processing (ASP) refers to the collection and manipulation of data obtained from multiple spatially distributed sensors or antennas, in an effort to extract information about the sources of signals present in the data. As discussed in this chapter, such problems arise in many different fields, including radar, sonar, medicine ...
A. Lee Swindlehurst +3 more
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Array Signal Processing for Radio Astronomy
Experimental Astronomy, 2004Radio astronomy forms an interesting application area for array signal processing techniques. Current synthesis imaging telescopes consist of a small number of identical dishes, which track a fixed patch in the sky and produce estimates of the time-varying spatial covariance matrix.
Alle Jan Van Der Veen +2 more
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ACOUSTIC TRANSDUCER ARRAY SIGNAL PROCESSING
The Journal of the Acoustical Society of America, 2012A set of filters is configured to distribute input signals representing a single perceptual axis to first and second physically separate arrays (10OL, 100R) of loudspeakers comprising at least first and second transducers (104, 106, 108, 110), such that the arrays of loudspeakers will create an array pattern corresponding to the input signals when the ...
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Array signal processing using digital subarrays
IET International Conference on Radar Systems 2007, 2007Subarrays constitute a step in the direction towards full digitisation of array antennas. An overview of the problems of digital processing with subarray outputs and a description of several mitigation techniques is given. We present rules for designing subarrays, for forming sum and difference beams, clusters of scanned beams at subarray level, and ...
U. Nickel +3 more
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On Performance of Array Signal Processing
IEEE Journal of Oceanic Engineering, 1987A unified treatment for performance evaluation of various array signal processors is presented. Detection performance is expressed in terms of the parameter of the power-type receiver operating characteristic (ROC) for optimum, beamformer, and null-steerer detectors.
L. Nolte +2 more
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Bilinear signal synthesis in array processing
IEEE Transactions on Signal Processing, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mu, Weifeng. +2 more
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Trends in array signal processing
Sixth Multidimensional Signal Processing Workshop, 2003Summary form only given, as follows. Arrays and associated signal processing algorithms have been in use for many years. In recent years, a new wave of algorithms has swept upon the scene promising superior performance at the expense of computational load. Rather than a litany of unrelated algorithms, these new approaches are based on a small number of
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Compressive sensing for array signal processing
2012 Annual IEEE India Conference (INDICON), 2012Compressive sensing (CS) is an emerging area in which the conventional two step process of data acquisition and compression can be integrated into a single step. Compressive sensing exploits the sparsity of a signal and allows the digital signal to be reconstructed from far fewer measurements than the original size of the signal.
B. Anila Satheesh +3 more
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