𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Adaptive Character Segmentation Method Based on Minimum Variance Criterion

✍ Scribed by Yositake Tsuji; Ko Asai

Book ID
112205546
Publisher
John Wiley and Sons
Year
1986
Tongue
English
Weight
744 KB
Volume
17
Category
Article
ISSN
0882-1666

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Self-tuning control based on generalized
Self-tuning control based on generalized minimum variance criterion for auto-regressive models
✍ Anna Patete; Katsuhisa Furuta; Masayoshi Tomizuka πŸ“‚ Article πŸ“… 2008 πŸ› Elsevier Science 🌐 English βš– 433 KB

Theoretical problems on self-tuning control include stability, performance and convergence of the recursive algorithm involved. In this paper, the problem of controlling minimum or non-minimum phase auto-regressive models with constant but unknown parameters is considered. The stability of an algori

Speaker Adaptation Algorithms Based on P
Speaker Adaptation Algorithms Based on Piecewise-Moving Adaptive Segment Quantization Method
✍ Yoshinao Shiraki; Masaaki Honda πŸ“‚ Article πŸ“… 1990 πŸ› John Wiley and Sons 🌐 English βš– 622 KB

## Abstract This paper aims at the speaker‐independent very‐low bit rate speed coding and proposes the speaker adaptation algorithm based on the piecewise movement in the speech spectrum space. In the proposed method, the universal codebook, which is constructed beforehand based on the features of

A weighted adaptive one-step-ahead minim
A weighted adaptive one-step-ahead minimum variance controller based on the ELS algorithm
✍ Ruisheng Li πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 130 KB πŸ‘ 2 views

This paper deals with the design of a weighted adaptive one-step-ahead minimum variance controller based on the extended least squares (ELS) algorithm for a discrete time stochastic system. The stability of the closed-loop system and the convergence rates of the general adaptive tracking and estimat