Processor dependent bias of spatial spectral estimates from coprime sensor arrays
نویسندگان
چکیده
منابع مشابه
Spectral Estimation for Sensor Arrays
The array processing problem is briefly discussed and an abstract spectral estimation problem is formulated. This abstract problem involves the estimation of a multi-dimensional frequency-wavevector power spectrum given certain measurements of the correlation function and knowledge of the spectral support. The pursuit of correlation-matching spectral estimates leads to the extendibility questio...
متن کاملAssociative Processor Arrays: Simulation and Performance Estimates for Image Processing
The SCAPE chip, as an example of an associative processor array, is described; performance and algorithm details are given. The difficulties which were encountered when designing a SCAPE test-bed are stated and SCAPE is compared with a number of other image processing chips and system designs. The knowledge gained from this work is then used to suggest improvements in the design of VLSI associa...
متن کاملSpatial Aliasing for Near eld Sensor Arrays
This paper investigates the presence of spatial aliasing due to operating a linear array in the near eld It shows that the standard half wavelength sensor spacings rule which guarantees no aliasing in the operation of far eld arrays is not su cient to prevent aliasing in the near eld This claim is justi ed by theoretical considerations and corroborated by simulation results
متن کاملSpatial working memory capacity predicts bias in estimates of location.
Spatial memory research has attributed systematic bias in location estimates to a combination of a noisy memory trace with a prior structure that people impose on the space. Little is known about intraindividual stability and interindividual variation in these patterns of bias. In the current work, we align recent empirical and theoretical work on working memory capacity limits and spatial memo...
متن کاملPartitioning Processor Arrays 21
within a tile should be part of the optimization in the second layer, i.e. the ordering of vectors in the loop matrix P. In addition, one should try to include the diierent partitioning possibilities into the optimization procedure such that both layers can be optimized simultaneously. Notes 1. Given two vectors a and b with elements a i and b i , a < b denotes a i < b i for all i. 2. Using the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 2018
ISSN: 0001-4966
DOI: 10.1121/1.5042411