Generating dithering noise for maximum likelihood estimation from quantized data
نویسندگان
چکیده
منابع مشابه
Generating dithering noise for maximum likelihood estimation from quantized data
The Quantization Theorem I (QT I) implies that the likelihood function can be reconstructed from quantized sensor observations, given that appropriate dithering noise is added before quantization. We present constructive algorithms to generate such dithering noise. The application to maximum likelihood estimation (mle) is studied in particular. In short, dithering has the same role for amplitud...
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ژورنال
عنوان ژورنال: Automatica
سال: 2013
ISSN: 0005-1098
DOI: 10.1016/j.automatica.2012.11.028