System Identification Using Regular and Quantized Observations

Download or read book System Identification Using Regular and Quantized Observations written by Qi He and published by Springer Science & Business Media. This book was released on 2013-02-11 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​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.