已收录 268921 条政策
 政策提纲
  • 暂无提纲
Computational Complexity of Subspace Detectors and Matched Field Processing
[摘要] Subspace detectors implement a correlation type calculation on a continuous (network or array) data stream [Harris, 2006]. The difference between subspace detectors and correlators is that the former projects the data in a sliding observation window onto a basis of template waveforms that may have a dimension (d) greater than one, and the latter projects the data onto a single waveform template. A standard correlation detector can be considered to be a degenerate (d=1) form of a subspace detector. Figure 1 below shows a block diagram for the standard formulation of a subspace detector. The detector consists of multiple multichannel correlators operating on a continuous data stream. The correlation operations are performed with FFTs in an overlap-add approach that allows the stream to be processed in uniform, consecutive, contiguous blocks. Figure 1 is slightly misleading for a calculation of computational complexity, as it is possible, when treating all channels with the same weighting (as shown in the figure), to perform the indicated summations in the multichannel correlators before the inverse FFTs and to get by with a single inverse FFT and overlap add calculation per multichannel correlator. In what follows, we make this simplification.
[发布日期] 2010-12-01 [发布机构] Lawrence Livermore National Laboratory
[效力级别]  [学科分类] 
[关键词] Wave Forms;Processing;Dimensions;58 Geosciences [时效性] 
   浏览次数:22      统一登录查看全文      激活码登录查看全文