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Titlebook: Aspects of Signal Processing With Emphasis on Underwater Acoustics, Part 2; Proceedings of the N G. Tacconi Conference proceedings 1977 Spr

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Signal Extraction Algorithms for Adaptive Processing of Array Datathms are particularly useful for processing low frequency signals, and have the advantage of requiring no a priori signal statistics. Computer simulation results are included which verify the theoretical derivations and compare the performance of the algorithms under practical conditions of interest
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Properties of the Discrete Fourier Transform (DFT)to Fast Fourier Transform algorithms. The second part will range more widely, in particular considering ways in which certain less well-known properties of the DFT could be turned to practical use. The two parts are independent.
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Spectrum Analysistrum analysis is concerned with the estimation of S(f) from a finite length record x(t) [0,T] of one realisation (fig. 1):.For convenience, the independent variable t is referred to as “time” (sec.) and the conjugate variable f as “frequency” (cycles/ sec. or Hz), although other physical quantities
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Constrained systems: numerical methodsthm. Its behaviour, stability and performance are well known. In this paper, emphasis is put on the Woodbury identity (Wl) algorithm, whose name is motivated by the algorithm’s use of the Woodbury identity (matrix inversion lemma). The GD algorithm will be used only as a reference.
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Constrained systems: numerical methodse MTI radar situation in which clutter can be considered as arriving from a specific bearing within a given doppler cell, the reverberation in the active doppler processing sonar is somewhat spread in angular extent largely because the scatterers, waves and the like, are moving. Reverberation suppre
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