扩声系统在体育馆中的典型应用

针对体育馆举办不同类型的大型活动,分别对扩声系统的音质及扩声特点提出要求,以人声和乐器声的频率特性为依据,阐述了调音师在不同场合中对于不同的扩声对象按所要达到的扩声效果应采取的调控方法。     

机载行波管发射机设计的基本原则

论述了机载行波管发射机设计中需要遵循的5个基本原则，强调了行波管使用以及环境适应的重要性及优先地位，提出了对发射机指标理解的认识，以及最简设计与交叉设计的建议；介绍了机载行波管发射机设计过程中的几个主要步骤，对发射机主要性能参数进行了简单的分类与分析，并给出了一个行波管发射机设计的示例。     

NOPD技术在板结构声辐射控制中的实验研究

本文应用NOPD技术设计了一种复合多层板，按照四边固定薄板结构的模态振型，对不同的NOPD填充形式，进行声学实验，来评价不同填充形式在降低板类结构声辐射方面的效果，分析了该类板结构声振耦合的关系并验证了NOPD技术对声辐射控制的作用。     

应用音平化渣图象分析和指导转炉造渣操作

利用音平化渣图象可以清晰地看出在转炉造渣过程中何时发生喷溅，何时发生炉渣返干和何时化渣正常。应用音平化渣图象和炉渣三元相图，可以正确地分析发生喷溅和返干的原因，从而找到避免突发性喷溅和严重返干的方法。正确的枪位和炉渣碱度控制是实现平稳吹炼的保证，而音平化渣图象能帮助操作工实现这一目标。     

无线随钻测量技术的应用现状与发展趋势

目前,无线随钻测量技术是石油工程技术发展的一个主要方向。详细介绍了无线随钻测量仪器的传输方式、国内外无线随钻测量技术的主要进展和应用现状,指出了国内外无线随钻测量仪器的优缺点和应用范围,分析了无线随钻测量技术的发展趋势,并提出我国应在借鉴国外先进的无线随钻测量技术的基础上,研制具有自主知识产权的无线随钻测量仪器,以加快我国无线随钻测量技术的发展,缩短与国际先进水平的差距。     

基于计算机声卡的虚拟仪器的设计

主要介绍通过计算机的声卡来实现对虚拟仪器的设计，模拟了示波器、信号发生器和频率计等设备的基本功能，详细介绍了系统的硬件设计方法及软件流程。该系统主要适用于音频范围的各种信号的采集与产生。     

Ideal-gas thermodynamic properties for natural-gas applications

Calculating caloric properties from a thermal equation of state requires information such as isobaric heat capacities in the ideal-gas state as a function of temperature. In this work, values for the parameters of thec _p ⁰ correlation proposed by Aly and Lee were newly determined for 21 pure gases which are compounds of natural gas mixtures. The values of the parameters were adjusted to selectedc _p ⁰ data calculated from spectroscopic data for temperatures ranging from 10 to 1000 K. The data sources used are discussed and compared with literature data deduced from theoretic models and caloric measurements. The parameters presented will be applied in a current GERG project for evaluating equations of state (e.g., the AGA 8 equation) for their suitability for calculating caloric properties.     

迎接挑战加速调整不断增强冶金矿山生存与发展的能力

回顾和总结了通钢矿业公司把市场经济的挑战作为创新发展的动力和机遇，加速自适应性调整，使矿山经济步入持续、稳定、健康发展的良性轨道。     

Thermophysical Properties of Binary Mixtures of Methyl Methacrylate+Di-Ethers (Ethyl, Isopropyl, and Butyl) at 298.15 and 308.15 K

Experimental data for the densities, dynamic viscosities, sound speeds, and relative permittivities and for three binary systems of methyl methacrylate (MMA)+di-ethers (ethyl, isopropyl, and butyl) at 298.15 and 308.15 K and at atmospheric pressure are reported. The mixture viscosities are correlated by Grunberg–Nissan, McAllister, and Auslander equations over the complete composition range. The sound speeds for the mixtures are also calculated by using free length and collision factor theories, and Nomoto and Junjie equations. From the measured primary properties, deviation functions such as deviations in viscosities, sound speeds, relative permittivities, molar polarizations, excess isentropic compressibilities, and molar electrical susceptibilities were calculated, and the compositional dependence of each of the functions was expressed with a Redlich–Kister type equation. The variation of the Kirkwood correlation factor was determined over the complete composition range.     

Application of the blind source separation method to feature extraction of machine sound signals

As the result of vibration emission in air, a machine sound signal carries important information about the working condition of machinery. But in practice, the sound signal is typically received with a very low signal-to-noise ratio. To obtain features of the original sound signal, uncorrelated sound signals must be removed and the wavelet coefficients related to fault condition must be retrieved. In this paper, the blind source separation technique is used to recover the wavelet coefficients of a monitored source from complex observed signals. Since in the proposed blind source separation (BSS) algorithms it is generally assumed that the number of sources is known, the Gerschgorin disk estimator method is introduced to determine the number of sound sources before applying the BSS method. This method can estimate the number of sound sources under non-Gaussian and non-white noise conditions. Then, the partial singular value analysis method is used to select these significant observations for BSS analysis. This method ensures that signals are separated with the smallest distortion. Afterwards, the time-frequency separation algorithm, converted to a suitable BSS algorithm for the separation of a non-stationary signal, is introduced. The transfer channel between observations and sources and the wavelet coefficients of the source signals can be blindly identified via this algorithm. The reconstructed wavelet coefficients can be used for diagnosis. Finally, the separation results obtained from the observed signals recorded in a semi-anechoic chamber demonstrate the effectiveness of the presented methods .