地面数字声音广播（DAB）及其覆盖规划的考虑

简要描述了近几年来研究开发的为移动、便携和固定接收服务的地面发射数字声音广播(DAB)系统总的特点、应达到的技术和运行要求。重点介绍了系统采用的最适合克服移动接收中出现的多径效应影响的先进源编码技术(MUSICAM)、信道编码技术(COFDM)等的基本原理、系统参数、并介绍了规划DAB业务时,在VHF/FM频段考虑的最佳频段及频谱利用改善情况,还提供了DAB单频网洛(SFN)覆盖的大体情况。其内容取材均来自1990～1992年EBU、CCIR等的最新文稿资料。     

Improvement of the methods of reproducing and transferring the dimensions of the unit of sound pressure in an aqueous medium under free-field conditions

Methods of reducing the predominant components of uncertainty in standards of sound pressure in an aqueous medium in a free field, and also methods of increasing the accuracy when the dimensions of the unit of a physical quantity are transferred by the means employed in natural measurements are reviewed. __________ Translated from Izmeritel’naya Tekhnika, No. 8, pp. 59–63, August, 2007.     

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。     

MECHANISM OF SOUND GENERATION BY FLOW OVER TWO CAVITIES IN TWO DIMENSIONS

1 .　ＩＮＴＲＯＤＵＣＴＩＯＮＷｈｅｎｈｉｇｈ ｓｐｅｅｄａｉｒｆｌｏｗｏｒｃｕｒｒｅｎｔｐａｓｓｅｓｏｖｅｒｇａｐｓｏｒｃａｖｉｔｉｅｓｉｎａｆｌａｔｐｌａｔｅ ,ｓｅｌｆ ｅｘｃｉｔｅｄｏｓｃｉｌｌａｔｉｏｎｓｍａｙｏｃｃｕｒ ,ｌｅａｄｉｎｇｔｏｄｒａｍａｔｉｃｐｒｅｓｓｕｒｅａｎｄｖｅｌｏｃｉｔｙｆｌｕｃｔｕａｔｉｏｎａｎｄｉｎｔｅｎｓｉｖｅｎｏｉｓｅ .Ｔｈｅｓｅｐｈｅｎｏｍｅｎａｍａｙａｐｐｅａｒｉｎｍａｎｙｅｎｇｉｎｅｅｒｉｎｇａｐｐｌｉｃａｔｉｏｎｓ .Ｆｏｒｅｘａｍｐｌｅ ,ｗｅａｐｏｎｂ…     

声波在多层介质中传播的四端参数模型应用分析研究

声波在两种介质的交界面透射和反射时 ,借鉴机械四端参数法 ,利用声学边界条件 ,引入了四端参数矩阵 ,建立四端参数模型。通过对四端参数矩阵的分析 ,探讨了在简谐平面波垂直入射的条件下 ,声波在多层介质中的传播特性 ,并推导出声透射系数和声反射系数的一般计算公式。     

调制脉冲声测量系统的原理及应用

本文介绍的调制脉冲声测量系统是TDS和数字测量技术的进一步发展,其特点是简化了TEF系统的实现条件,解决了全频带的测量动态问题。本系统曾在上海音像公司录音棚中进行过测量,取得了一定的效果。     

随钻气侵检测仪在胜利油田的应用

简要介绍了随钻气侵检测仪的结构特点、工作原理、现场模拟试验及应用情况。中原油田全尺寸实验井和胜利油田６口井的现场试验及应用结果表明，该仪器能实现早期气侵检测，比常规方法检测到气侵的时间明显提前，对高压气井和复杂地层井控具有重要的现实意义。     

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.     

厅堂扩声声像的探讨

介绍了双路扬声器重放的原始声场效果，对使用强度型立体声拾声、双路扬声器重放扩声系统的厅堂会使声像(声源的幻像)位置和真实声源位置产生偏差，甚至出现严重的分离现象进行了分析。     

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 .