Application of signal processing techniques to the detection of tip vortex cavitation noise in marine propeller

The tip vortex cavitation and its relevant noise has been the subject of extensive researches up to now. In most cases of experimental approaches, the accurate and objective decision of cavitation inception is primary, which is the main topic of this paper. Although the conventional power spectrum is normally adopted as a signal processing tool for the analysis of cavitation noise, a faithful exploration cannot be made especially for the cavitation inception. Alternatively, the periodic occurrence of bursting noise induced from tip vortex cavitation gives a diagnostic proof that the repeating frequency of the bursting contents can be exploited as an indication of the inception. This study, hence, employed the Short-Time Fourier Transform (STFT) analysis and the Detection of Envelope Modulation On Noise (DEMON) spectrum analysis, both which are appropriate for finding such a repeating frequency. Through the acoustical measurement in a water tunnel, the two signal processing techniques show a satisfactory result in detecting the inception of tip vortex cavitation.     

Palmprint based recognition system using phase-difference information

This paper presents an efficient palmprint based human recognition system. Each palmprint is divided into several square overlapping blocks. Reconstruction error using principle component analysis (PCA) is used to classify these blocks into either a good block or a non-palmprint block. Features from each good block of a palmprint are obtained by binarising the phase-difference of vertical and horizontal phase. The Hamming distance is used to compute the matching score between the features of corresponding good blocks of enrolled and live palmprint. These matching scores are fused using weighted sum rule, where weights are based on the average discriminating level of a block relative to other blocks. The performance of the proposed system is analysed on different datasets of hand images and it has been observed that it achieves a Correct Recognition Rate of 100% with a low Equal Error Rate for all the datasets. The system is also evaluated for noisy and bad palmprint images. It is found to be robust as long as the noise density is less than 50% or the bad region is less than 64% of the images.     

一种多用户的双向中继系统预编码方案

为提高多对用户双向中继系统的性能,提出一种新的预编码方案。设计具有2K个用户和一个中继节点的系统,每个节点通过中继节点交换信息,节点间的信道相互独立且服从瑞利慢衰落,给出用于信息传输的2个时隙,分析中继节点的信噪比和系统的互信息。仿真结果表明,当中继节点的信噪比为25 dB时,该方案的互信息相比传统方案提高1.2 bit/s/Hz。     

柴窝堡二维地震资料目标处理方法研究应用

柴窝堡地区地震资料采集于上世纪八十年代,受当时技术条件限制,老资料能量弱,覆盖次数低,导致处理成果信噪比低,难以满足解释要求。在重新处理过程中,通过对地震地质资料特点的全面分析,针对处理目标从静校正、噪音衰减、精细速度分析到偏移制定了一系列有针对性的处理方法,通过应用实施取得了很好的效果。     

基于向量线段的特殊字符识别

传统的OCR技术在某些特定方面,如印刷体数学公式中特殊字符的识别存在困难和限制,其识别结果的准确率不尽如人意.为此,重点介绍基于向量线段的特殊字符识别算法规则和识别系统的设计.提出通过提取字符中的向量线段进行特征比较的分析方法,并将噪点去除算法融入其中.实验表明,该方法对于特殊字符的分析识别具有较好的准确性和应用前景.     

基于最小噪声分离变换的高光谱异常检测方法研究

RX算法和核RX算法能很好地分离目标和背景,是较为广泛使用的异常检测算法,但是高光谱图像数据量大且存在冗余信息和噪声,直接进行RX及核RX异常探测运算量大且容易受噪声影响.针对此问题,提出一种基于最小噪声分离变换的高光谱图像异常检测方法,首先采用残差分析法估计噪声协方差矩阵以改进最小噪声分离变换,然后利用改进后的最小噪声分离变换来有效地降低高光谱图像数据的维数并分离出噪声,最后对低维降噪后的数据进行RX及核RX异常检测,避免了随机噪声对RX及核RX异常检测结果的影响并提高了异常检测率.对真实的AVIRIS数据测试表明,该算法优于传统的相应的RX、核RX异常检测算法.     

瑞利信道下线性分组码的分集增益研究

比较AWGN信道与瑞利信道的误码性能,研究瑞利信道下分集支数与信息传输可靠性之间的关系。推导线性分组码在瑞利信道下误码率上界的理论表达式,得到分集增益与其最小汉明距离的关系。基于蒙特卡洛法对误码性能进行仿真,并与理论误码率上界进行比较,结果表明线性分组码在瑞利信道下获得的分集增益等于其最小码距。     

基于改进谐波恢复算法的语音增强方法

当信噪比较低时,语音信号的高次谐波部分会完全淹没在噪音中。针对该情况,提出一种基于改进谐波恢复算法的语音增强方法。对经过MMSE-LSA算法语音增强处理后的时域输出语音信号进行非线性处理,得到准周期冲激信号,并将其与原增强信号相乘,突出语音的谐波分量。实验结果表明,改进算法较好地解决了低信噪比时谐波失真的问题,相比传统谐波恢复算法能更好地改善语音高次谐波的质量。     

低功耗低电源线噪声纳米CMOS全加器

提出一种低功耗低电源线噪声的纳米CMOS全加器。采用电源门控结构的全加器来降低纳米CMOS电路的漏电功耗,改进了传统互补CMOS全加器的求和电路,减少了所需晶体管的数目,并进一步对休眠晶体管的尺寸和全加器的晶体管尺寸进行了联合优化。用Hspice在45nmCMOS工艺下的电路仿真结果表明,改进后的全加器电路在平均功耗时延积、漏电功耗和电源线噪声等方面取得了很好的效果。     

大型空分设备气体放空的噪声控制与治理

文章简介了空分设备气体放空时产生的噪声对周围环境的污染和伤害,并对放空气体噪声的控制与治理进行了分析对比;提出大型空分设备,特别是内压缩流程的空分设备,大流量低、中、高压气体放空,应采用消声塔集中排放,有效控制和治理气体放空噪声。