基于瞬时相位的BPSK信噪比估计算法

通过对加性高斯白噪声条件下正弦型信号瞬时相位分布情况进行研究,提出了一种新的BPSK（Binary Phase Shift Keying）信噪比估计方法．含噪信号瞬时相位的方差与信噪比之间存在近似线性的一一对应关系,以此为基础通过将含噪信号的估计方差与理论值相比较获得信噪比估计值．该方法直接对基带过采样信号进行处理,不需要事先进行符号定时与同步．使用计算机仿真测试了算法的估计性能,并与高阶累积量方法和子空间分解方法进行了比较,结果表明该算法具有更高的估计精度．     

EXPECTATION-MAXIMIZATION ALGORITHM FOR REGRESSION,DECONVOLUTION AND SMOOTHING OF SHOT-NOISE LIMITED DATA

A simple algorithm for deconvolution and regression of shot-noise-limited data is illustrated in this paper.The algorithm is easily adapted to almost any model and converges to the global optimum.Multiple-component spectrum regression,spectrum deconvolution and smoothing examples are used to illustratethe algorithm.The algorithm and a method for determining uncertainties in the parameters based on theFisher information matrix are given and illustrated with three examples.An experimental example ofspectrograph grating order compensation of a diode array solar spectroradiometer is given to illustratethe use of this technique in environmental analysis.The major advantages of the EM algorithm are foundto be its stability,simplicity,conservation of data magnitude and guaranteed convergence.     

广州市环境噪声总体水平分析及其控制：以越秀区为例

随着广州市改革开放的深入发展，作为广州市中心区的越秀区环境噪声总体水平居高不下，而且还有上升趋势。本文分析了越秀区环境噪声现状和发展，对环境噪声总体水平的控制提出建议和对策。     

成像光谱图像的噪声分析与消除方法研究--以北京顺义区成像光谱图像为例

以北京顺义区32通道成像光谱数据为例，从数据的统计参数入手，分别从数据的方差、动态范围、相关性、直方图等方面分析研究噪声及特点，在此基础上提高局部邻域自动噪声查找与消除算法。     

COLD,ALPINE ICE BODIES REVISITED: WHAT MAY WE LEARN FROM THEIR IMPURITY AND ISOTOPE CONTENT?

In the European Alps, ice core studies have been mainly performed in view of the recent man‐made influence on the atmospheric load of aerosol‐related species, while respective investigations on the pre‐industrial aerosol or on stable water isotope‐based climate records remained sparse. We address from a glaciological perspective the specific conditions of Alpine drilling sites and, in particular, the role of depositional noise. Thereby, we refer to two major drilling areas (located in the summit range of Monte Rosa and Mt Blanc massif, respectively) which largely differ in their snow accumulation rate and, hence, in their accessible time scale. A simple scheme considering the seasonality of both, the precipitation‐borne signal and the snow erosion‐controlled net accumulation rate is presented. It shows that water isotope trends are generally more sensitive to distortion by a seasonality effect than recent snow impurities trends, although the influence of a given seasonal accumulation rate cycle on the mean levels of water isotopes and impurities is similar. These findings are illustrated on the decadal and centennial time scale by the inter‐ and intra‐site variability of major ion and water isotope records. The intra‐site comparison includes the discussion of strong water isotope depletions seen some meters above bedrock at low accumulation drilling sites.     

Processing seismic ambient noise data to obtain reliable broad-band surface wave dispersion measurements

Ambient noise tomography is a rapidly emerging field of seismological research. This paper presents the current status of ambient noise data processing as it has developed over the past several years and is intended to explain and justify this development through salient examples. The ambient noise data processing procedure divides into four principal phases: (1) single station data preparation, (2) cross-correlation and temporal stacking, (3) measurement of dispersion curves (performed with frequency–time analysis for both group and phase speeds) and (4) quality control, including error analysis and selection of the acceptable measurements. The procedures that are described herein have been designed not only to deliver reliable measurements, but to be flexible, applicable to a wide variety of observational settings, as well as being fully automated. For an automated data processing procedure, data quality control measures are particularly important to identify and reject bad measurements and compute quality assurance statistics for the accepted measurements. The principal metric on which to base a judgment of quality is stability, the robustness of the measurement to perturbations in the conditions under which it is obtained. Temporal repeatability, in particular, is a significant indicator of reliability and is elevated to a high position in our assessment, as we equate seasonal repeatability with measurement uncertainty. Proxy curves relating observed signal-to-noise ratios to average measurement uncertainties show promise to provide useful expected measurement error estimates in the absence of the long time-series needed for temporal subsetting.     

On reduction of long-period horizontal seismic noise using local barometric pressure

Tilt from atmospheric loading has long been known to be the major source of long-period horizontal seismic noise. We try to quantify these effects for seismic data from the Black Forest Observatory (BFO), which is known to be a very quiet station. Experimental transfer functions between local barometric pressure and horizontal seismic noise are estimated for two long time-series by standard methods. Two simple analytical physical models are developed: the local deformation model (LDM) and the acoustic-gravity wave model (TWM). Subsequently these models, with only two free parameters are fit using least squares to the observed seismic noise for time-series of widely differing lengths. The results are variable, sometimes rather dramatic variance reductions are obtained and sometimes the reduction is hardly significant. The method produces the best results when barometrically induced noise is high. The resulting admittances for the LDM are compared to finite element calculations. Since the methods are simple and can result in conspicuous reductions in noise we provide one more reason for installing barometers at even the best broad-band seismic stations.