Home » Nonfiction » Qi He » System Identification Using Regular and Quantized Observations

December 26 , 2008

System Identification Using Regular and Quantized Observations

Applications of Large Deviations Principles


​This brief presents characterizations of identification errors under a probabilistic framework when output sensors are binary, quantized, or regular.By considering both space complexity in terms of signal quantization and time complexity with respect to data window sizes, this study provides a new perspective to understand the fundamental relationship between probabilistic errors and resources, which may represent data sizes in computer usage, computational complexity in algorithms, sample sizes in statistical analysis and channel bandwidths in communications.

How to download book

Buy this book

You can buy this book now only for $41.59. This is the lowest price for this book.

Buy book

Download book free

If you want to download this book for free, please register, approve your account and get one book for free.


After that you may download book «System Identification Using Regular and Quantized Observations»:

Download Sony BookReader:


Download FB2:


Download Microsoft Reader (LIT):


Download Mobi: