Wang, Le Yi

System identification using regular and quantized observations: applications of large deviations principles

by Yin, George, Wang, Le Yi, He, Qi

fromSpringerBriefs in mathematics (En ligne)

0 Type: Book

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 …

System identification using regular and quantized observations: applications of large deviations principles

by Yin, George, Wang, Le Yi, He, Qi

fromSpringerBriefs in Mathematics

0 Type: Book

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 …

System identification using regular and quantized observations: applications of large deviations principles

by Yin, George, He, Qi, (Mathematician), Wang, Le Yi

fromSpringerBriefs in Mathematics

0 Type: Book

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 …

System identification using regular and quantized observations: applications of large deviations principles

by Yin, George, He, Qi, (Mathematician), Wang, Le Yi

fromSpringerBriefs in Mathematics

0 Type: Book

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 …