✦ LIBER ✦

Statistical characteristics of the noise error of orthogonal phase meters with clipped signals

✍ Scribed by M. K. Chmykh

Publisher: Springer US
Year: 1986
Tongue: English
Weight: 280 KB
Volume: 29
Category: Article
ISSN: 0543-1972
DOI: 10.1007/bf00864108

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Statistical characteristics of phase mea

Statistical characteristics of phase measurement errors caused by harmonic noise

✍ A. M. Gladkin 📂 Article 📅 1992 🏛 Springer US 🌐 English ⚖ 302 KB

Method for extending the frequency range

Method for extending the frequency range of phase meters with discrete orthogonal processing

✍ M. K. Chmykh 📂 Article 📅 1981 🏛 Springer US 🌐 English ⚖ 361 KB

Errors of ultrasonic resonance thermomet

Errors of ultrasonic resonance thermometers with phase analysis of the echo signal

✍ Ya. T. Lutsik; P. G. Stolyarchuk; R. I. Chekh; I. S. Likhnovskii 📂 Article 📅 1988 🏛 Springer US 🌐 English ⚖ 333 KB

Antidisturbance characteristics in a dis

Antidisturbance characteristics in a distributed digital signal transmission system using orthogonal transform codes and recovery of signal with the estimation method

✍ Yoon Uh; Susumu Sone; Tasuku Takagi; Hyunkoo Kang 📂 Article 📅 1995 🏛 John Wiley and Sons 🌐 English ⚖ 735 KB

The deductive phase of statistical analy

The deductive phase of statistical analysis via predictive simulations: test, validation and control of a linear model with autocorrelated errors representing a food process

✍ Philippe Girard; Eric Parent 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 361 KB

Statistical analysis consists of two phases: induction for model parameter estimation and deduction to make decisions on the basis of the statistical model. In the Bayesian context, predictive analysis is the key concept to perform the deductive phase. In that context, Monte-Carlo posterior simulati