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- W2014231978 abstract "Modem signal processing frequently requires linear transforms in both space and time, such as beamforming and temporal Fourier analysis. Such linear processing operations form a large portion of the computational load for many signal processing problems. Convolu-tional devices including transversal filters and crossconvolvers form highly parallel computations modules with high throughput and minimal control overhead. Such modules may be used not only for time-invariant linear transforms such as matched filtering and cross-convolution, but also a large class of time-variant linear transforms such as one-dimensional and two-dimensional Fourier transforms and beamformers for selected array geometries, including one-dimensional and multidimensional uniformly spaced arrays, the circular array, the power law curve array, and the exponentially spaced line array. Special architectures using uniformly tapped multiport (program-mable) convolvers are applicable to a wider set of array geometries the generalized Lissajous figure arrays. In several cases, the same architecture will accommodate a variety of array geometries by simply changing the output of a function generator. To extend these techniques to a completely arbitrary, time-varying array requires the equivalent of a multiport convolver with moveable taps. The most attractive candidate for such a device at present is a further development of the acousto-optic memory convolver.© (1978) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only." @default.
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- W2014231978 date "1978-12-08" @default.
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- W2014231978 title "<title>Signal Processing Architectures Using Convolutional Technology</title>" @default.
- W2014231978 doi "https://doi.org/10.1117/12.938240" @default.
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