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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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Optimum array filters for array data signal processing
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1983This paper deals with the design of filters for processing data obtained from arrays of sensors used for signal measurements in a variety of applications. The objective of the filters is to optimally suppress undesired signals intercepting the array, while at the same time to preserve the desired signal that the array is attempting to measure.
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Array signal processing under model uncertainties
1991 IEEE International Symposium on Circuits and Systems (ISCAS), 1991Three array signal processing model error scenarios are considered: errors in sensor gains and phases, errors in sensor location, and errors in sensor-pair alignments of ESPRIT-type subarrays. The array models under the latter two error scenarios are shown to be approximately of the same form as that under sensor gains and phases provided that the ...
V.C. Soon, L. Tong, Y.F. Huang, R. Liu
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Event-Based Phased Array Signal Processing
Structural Health Monitoring 2019, 2019In the last few years video-based techniques for identifying the dynamic properties of structures have become of increasing interest. These techniques offer the possibility of capturing high-resolution structural dynamics information at very low cost. In recent years event-based imaging technology has also become commercially available.
MOISÉS SILVA +3 more
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Some aspects of array signal processing
IEE Proceedings F Radar and Signal Processing, 1992The paper presents an overview of some important aspects of array signal processing in the context of narrowband applications. Inverse methods for solving the array signal processing problem are reviewed. Two case studies are presented, to illustrate the various issues discussed here.
S. Haykin +3 more
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Polarimetric Array Processing for Nonstationary Signals
2004Time-frequency distributions (TFDs) have evolved to be a powerful technique for nonstationary signal analysis and synthesis. With the use of a multi-sensor array, spatial time-frequency distributions (STFDs) have been developed and successfully applied to high-resolution direction-of-arrival (DOA) estimations and blind recovery of the source waveforms.
Yimin Zhang +2 more
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