The measurement of glottal noise was investigated in human and synthesized dysphonic voices by means of two-dimensional (2D) speech processing. A prime objective was the reduction of measurement sensitivities to fundamental frequency (f0) tracking errors and phonatory aperiodicities. An available fingerprint image enhancement algorithm was used for signal-to-noise measurement in narrow band spe...

consider an n × n matrix polynomial p(λ). a spectral norm distance from p(λ) to the set of n × n matrix polynomials that havea given scalar µ ∈ c as a multiple eigenvalue was introducedand obtained by papathanasiou and psarrakos. they computedlower and upper bounds for this distance, constructing an associated perturbation of p(λ). in this paper, we extend this resultto the case of two given di...

Abstract Determining physical process parameters in atmospheric models is critical to obtaining accurate weather and climate simulations; estimating optimal essential for reducing model error. Recently, automatic parameter estimation using the ensemble Kalman filter (EnKF) has been tested instead of conventional manual tuning. To maintain uncertainty be estimated avoid divergence EnKF-based met...

In this paper, we first get further consideration of the order perturbation with normwise condition number MTLS problem. For easy estimation, show a lower bound for which is proved to be optimal. overcome problems encountered in calculating number, give an upper computing more effectively and nonstandard unusual bounds Both two types can enjoy storage computational advantages. getting insight i...

in this paper, a new analytical approach has been presented for solving strongly nonlinear oscillator problems. iteration perturbation method leads us to high accurate solution. two different high nonlinear examples are also presented to show the application and accuracy of the presented method. the results are compared with analytical methods and with the numerical solution using runge-kutta m...

By generalizing Bombieri and Iwaniec’s double large sieve inequality, we obtain an estimation on three-dimensional exponential sums with constant perturbation. As application of our the sums, get that for any ϵ>0, ∑n⩽xΛ([xn])=x∑d⩾1Λ(d)d(d+1)+Oϵ(x1736+ϵ) as x→∞. This improves a recent result Liu–Wu–Yang, which requires 9/19 in place 17/36.

Accurate estimation of model parameters and state of charge (SoC) is crucial for the lithium-ion battery management system (BMS). In this paper, the stability of the model parameters and SoC estimation under measurement uncertainty is evaluated by three different factors: (i) sampling periods of 1/0.5/0.1 s; (ii) current sensor precisions of ±5/±50/±500 mA; and (iii) voltage sensor precisions o...

We provide a modification to the quantum phase estimation algorithm (QPEA) inspired on classical windowing methods for spectral density estimation. From this we obtain an upper bound in cost that implies cubic improvement with respect algorithm's error rate. Numerical evaluation of costs also demonstrates improvement. Moreover, similar techniques, detail iterative projective measurement method ...

Online calibration is desired in antenna arrays of ultrawide bandwidth. This study proposes a time domain method based on the simultaneous perturbation algorithm. Two objective functions were established: power received signal at array output; or combination and correlation coefficient between output target signal. For both criteria, convergence settings require only two measurements each itera...