In order to improve the wavefront reconstruction accuracy of a large-aperture laser, this paper proposed an adaptive window preprocessing algorithm based on threshold center gravity method (AW-TCoG). The effects median filtering and mean spot image processing are simulated analyzed. results show that has better effect noise elimination can further reconstruction. addition, centroid detection er...

Improving the accuracy of the measurements in building automation systems without increasing operational costs is an essential step if the overall comfort and energy efficiency of buildings are to be improved. Data reconciliation and gross error elimination have emerged as key techniques for reducing both random noise and gross errors on the outputs of sensors. This paper focuses on using actua...

A method for recovering the LPC spectrum from a microphone array input signal corrupted by ambient noise is proposed. This method is based on the CSS (coherent subspace) method, which is designed for DOA (direction of arrival) estimation of broadband array input signals. The noise energy is reduced in the subspace domain by the maximum likelihood method. To enhance the performance of noise redu...

We present a simple method for determining the exact noise power spectra and related statistical properties for linear chemical reaction networks. The method is applied to reaction networks which are representative of biochemical processes such as gene expression. We find, for example, that a post-translational modification reaction can reduce the noise associated with gene expression. Our resu...

A numerical parameter estimation method, based on input-output integro-differential polynomials in a bounded-error framework is investigated this paper. More precisely, the measurement noise and parameters belong to connected sets (in proposed work, intervals). First, Rosenfeld–Groebner elimination algorithm, presented. The latter provides differential equations containing derivatives, sometime...

Chaotic laser radar based on correlation detection is a high-resolution measurement tool for remotely monitoring targets or objects. However, its effective range is often limited by the side-lobe noise of correlation trace, which is always increased by the randomness of the chaotic signal itself and other transmission channel noises or interferences. The experimental result indicates that the w...

This article provides an economic assessment of federal regulatory policy toward airplane noise as encapsulated in the 1990 Airport Noise and Capacity Act (ANCA). This act mandated the elimination of certain aircraft, such as the Boeing 727 and DC-9, from all U.S. airports by the end of 1999 to meet quieter noise requirements. We find that the present discounted benefits of the ANCA, reflected ...

This paper implements algebraic elimination methods for an accurate and general calibration of parallel robots, applied to Gough (or Stewart) platforms. It focuses on two approaches, namely algebraic variable elimination and monomial linearization, which are compared to a classical numerical optimization technique. We detail the former, since it is not often used for the problems at hand, and s...

We study recovering parity check relations for an unknown code from intercepted bitstream received from Binary Symmetric Channel in this paper. An iterative column elimination algorithm is introduced which attempts to eliminate parity bits in codewords of noisy data. This algorithm is very practical due to low complexity and use of XOR operator. Since, the computational complexity is low, searc...