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- W1815821490 abstract "An algorithm is presented for designing optimum quantizers for signals at two remote sensors that are to be fused at a central site in order to make a detection decision. Fusion rules are selected as candidates according to their ability to approximate the likelihood ratio test, a continuous curve in the observation space, with stepwise continuous approximations. The number of steps is determined by N, the number of levels of quantization. Results are presented showing the uniform convergence of the algorithm's performance to that of the likelihood ratio test with increasing N for known signals in Gaussian noise. It is shown that an N of four, or two-bit quantization, performs nearly as well as the likelihood ratio test and is far superior to an N of two, or one-bit quantization, which corresponds to local detection decisions. >" @default.
- W1815821490 created "2016-06-24" @default.
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- W1815821490 date "2003-01-13" @default.
- W1815821490 modified "2023-09-24" @default.
- W1815821490 title "The quantized detection algorithm" @default.
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- W1815821490 doi "https://doi.org/10.1109/icassp.1989.266567" @default.
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