Underwater Acoustic Image Transmission System Based on DSP

The underwater acoustic image transmission system based on the high-speed DSP device TMS320C549 has been studied.We use Goertzel algorithm for source decoding and MFSK for modulation.Turbo code is used for channel coding and decoding.The purpose is to implement underwater video image data transmission.     

GPS signal acquisition using the repeatability of successive code phase measurements

This paper introduces a new method for GPS signal acquisition, which is based on the repeatability of successive code phase measurements and the M-of-N search algorithm. The performance of the proposed method in terms of probability of signal detection is similar to that of traditional methods, except that the calculation of the probability of detection does not rely on the noise distribution or the Carrier-to-Noise ratio (C/N₀). The code phase repeatability-based method is presented along with equations for probability of detection and probability of false detection. If the distribution of the noise is known, it also provides an estimate of the C/N₀. The proposed method is illustrated for coherent and non-coherent acquisition and C/N₀ estimation.     

Automatic classification of volcanic earthquakes by using Multi-Layered neural networks

The application of neural networks as classifiers of seismic events is described with the aim of developing an automatic system for the classification of explosion quakes at the Stromboli volcano. The architecture of the network that we trained to identify four different classes of shocks was a Multi-Layer Perceptron, using the Back Error Propagation algorithm. Five different approaches for representing the information embedded in the seismograms, both in the time and in the frequency domain, were considered, and the results compared. The direct use of the time series of the shocks was not satisfactory. The auto-correlation function worked well, but in some cases it was misleading. A better performance was obtained with a frequency domain representation. Finally, the use of the envelope function did not work well. Combining parameters such as the auto-correlation and envelope functions can improve one source of error, but it may introduce new ones. The performance obtained highlights the importance of the data attributes used for the training of the network. Topologies with eight neurons in a single hidden layer gave, on average, the best results among the considered neural network structures. The overall results provide a large number of events (89% with the best performance) correctly classified, indicating that this automatic technique is reliable, and encouraging further applications in the field of volcanic seismology.     

爆破夯实技术在水下地基处理中的应用

以某杂货码头和集装箱重力式码头水下地基处理工程为例，介绍了其地基处理的爆夯试验过程，得出了一次性爆破夯实厚层块石抛石基床的爆夯参数，并对其施工过程进行了监测。总结了类似工程施工的经验与教训。     

地震信号的相位恢复及误差分析

常见的几种地震子波有:零相位子波、最小相位子波、最大相位子波和混合相位子波。以不同类型的信号为激发子波,对不同地层模型合成地震道。仅用原始合成地震道记录的振幅谱来恢复原始记录,讨论不同方法下,由于激发子波的不同,对比分析原始记录与恢复记录的差异,及其恢复效果。     

GPS接收机专用芯片组技术发展

在总结国外现有的完整GPS接收机专用芯片组最新情况的基础上，结合典型的芯片产品，阐述了GPS接收机专用芯片组从分立式器件到片上系统、再到单片式接收机的技术发展过程、现状和趋势。     

参量阵浅地层剖面测量技术 在近岸海洋工程的应用效果

介绍了海底浅地层声学探测技术的发展情况, 简述了新型参量阵声纳探测的原理和特点, 通过SES-96参量阵测深或浅地层剖面系统在山东半岛海区的应用实例, 对此新型参量阵声纳技术的应用效果进行了分析评价。     

湖南及邻区地壳旋转的可能成因、对大地构造演化的影响及其与大规模成矿作用关系初探

在湖南及邻区,无论从地表的地质构造还是地球物理场上,都表现出明显的环状分布特征。这种特征可能是地壳的旋转运动所造成,它对湖南及邻区大地构造的演化、大规模成矿作用等具有重大的影响。本文对这种旋转运动的可能成因,以及所伴随的一系列地质作用、与大规模成矿作用的关系等进行了初步探讨。     

小波分析在声发射资料处理中的初步应用

针对声发射数据分析的一些难点，把最近20年发展起来的小波技术引入声发射资料处理中，分析证明结果可靠。它在本中的应用有：（1）提取有效信息。小波强大分解（细化0能力可用来从高口音中找出有效记录，分解合成时可以去掉不理想的通道，使声发射数据更加“规则化”，有望实现到时自动判读。（2）对相互叠加的事件进行有效分离。结合全波记录，可使事件尽可能少丢失，提高声发射数量统计及b值计算等的精度。（3）使成份复杂的声发射波形数据分离成具有单一特征的波，但分解后的波究竟属于P波还是S波，甚至面波，尚难确定。