多模盲均衡算法剩余码间干扰的近似表达式简

A closed approximated formed expression for the achievable residual inter-symbol interference(ISI) is proposed for the adaptive equalizers that adopt the multimodulus algorithm. The expression depends on the step-size parameter, equalizer's tap length, input signal statistics, signal noise ratio and channel power. Simulation proves that the expression shows the exact relationship between residual inter-symbol interference and involved parameters. Since the channel power and signal noise ratio of the expression are measurable or can be calculated, this new approximated expression can be a useful tool for choosing the step-size and tap length for designing an equalizer, and for making direct performance comparison between blind equalizers based on distinct algorithms.     

Systematic-bit-selection distributed turbo code with selective-relaying

An improved distributed turbo coding （DTC） scheme, namely, systematic-bit-selection DTC, is proposed for a two-hop relay network implementing selective-relaying （SR）. In the scheme, source broadcasts a punctured turbo code in order to increase the successful decoding rate of relay. The relay forwards systematic-bit to the destination in case of successful cyclic redundancy check （CRC）. From the two versions of systematic-bit coming from relay and source respectively, the des- tination selects the one with higher signal-to-noise ratio （SNR） for turbo decoding. Simulation re- suits show the improved bit error rate （BER） performance of our scheme.     

Comparative analysis of different methods for image enhancement

Image enhancement technology plays a very important role to improve image quality in image processing. By enhancing some information and restraining other information selectively, it can improve image visual effect. The objective of this work is to implement the image enhancement to gray scale images using different techniques. After the fundamental methods of image enhancement processing are demonstrated, image enhancement algorithms based on space and frequency domains are systematically investigated and compared. The advantage and defect of the above-mentioned algorithms are analyzed. The algorithms of wavelet based image enhancement are also deduced and generalized. Wavelet transform modulus maxima（WTMM） is a method for detecting the fractal dimension of a signal, it is well used for image enhancement. The image techniques are compared by using the mean（μ）,standard deviation（？）, mean square error（MSE） and PSNR（peak signal to noise ratio）. A group of experimental results demonstrate that the image enhancement algorithm based on wavelet transform is effective for image de-noising and enhancement. Wavelet transform modulus maxima method is one of the best methods for image enhancement.     

基于PLC的蓄电池组均衡充电系统设计

针对目前蓄电池组充电所存在的不均衡问题,设计了一种新型的均衡充电控制系统,本系统既能保证每个单体蓄电池均能充满电,又能保证整组蓄电池不会发生过充电现象,克服了电池不一致性对电池使用寿命造成的不良影响,提高了蓄电池组容量的有效利用率。     

铁型覆砂无冒口铸造增压器涡轮壳

铁型覆砂铸造技术是一种清洁、高效的铸造技术,采用铁型覆砂技术生产中硅钼铁素体球铁增压器涡轮壳,铸件尺寸精度、表面质量、内部质量均有明显改善,已铸造增压器涡轮壳20余万件,效果良好,对铁型覆砂铸造工艺的应用有良好参考价值。     

高碳钢快速球化退火工艺的研究

通过对高碳钢传统球化退火理论与技术的分析 ,提出了 Ac1 f温度透烧的奥氏体化新工艺。结合生产现场设备及退火质量的检测 ,制定出相适应的快速球化退火工艺 ,不仅提高了球化的质量 ,改善了机械加工性能 ,还使球化加热时间缩短到原工艺的 2 5 %～ 30 % ,球化缓冷到 6 80℃的时间缩短了 5 0 %。     

低复杂度递推信道估计联合均衡算法

精确的信道状态信息对单载波频域均衡(Sin gle carrier frequency domain equalization, SC FDE)非常重要,本文基于高斯消息传 递 (Gaussian message passing,GMP)提出了一种递推最小二乘(Least squares, LS)信道估计 算法。借助于因子图,根据广义分配率思想,将估计函数分为多个局部函数,每个局部函数 做多利处理,然后通过定义辅助变量使其成递推关系。根据turbo原理,迭代交换软信息, 使得估计、均衡及译码联合进行。在此基础上 ,分析并推导出无偏简化方法,然后借助于快速傅里叶变换,使得算法复杂度随观察向量长 度的增加呈对数上升。仿真表明该简化算法具有较好的信道估计性能和误码率特性的同时, 显著降低了计算量。     

轴流转桨机组水力过渡过程中的轴向水推力研究

轴流转桨式机组水力过渡过程中出现的抬机现象会直接危及电站的安全稳定运行。本文通过对轴流转桨式水轮机轮叶的受力分析,根据瞬态旋转水力矩推导出轴向水推力计算模型,并将计算模型应用于草街水电站的过渡过程计算中,研究了防抬机的工程措施。     

基于SOC的串联锂离子电池组均衡策略研究

由于一致性问题的存在,成组电池在可用容量、使用寿命等方面远不及单体电池,电池组的均衡管理对电池的成组使用者有着重要的实际意义.论文就针对锂离子串联电池组的均衡技术进行了研究,首先介绍了电池组一致性问题产生的原因,指出均衡管理的重要意义,分析了锂离子电池组SOC的一致性和基于SOC的均衡策略,详细阐述了基于SOC的均衡技术实现,最终搭建实验平台进行测试,验证了所使用的均衡策略和硬件电路的有效性.     

基于特征参数归一化的鲁棒语音识别方法综述

目前,自动语音识别系统往往会因为环境中复杂因素的影响,造成训练环境和测试环境存在不匹配现象,使得识别系统性能大幅度下降,极大地限制了语音识别技术的应用范围。近年来,很多鲁棒语音识别技术成功地被提出,这些技术的目标都是相同的,主要是提高系统的鲁棒性,进而提高识别率。其中,基于特征的归一化技术简单而有效,常常被作为鲁棒语音识别的首选方法,它主要是通过对特征向量的统计属性、累积密度函数或功率谱的归一化来补偿环境不匹配产生的影响。该文主要对目前主流的归一化方法进行介绍,其中包括倒谱矩归一化方法、直方图均衡化方法以及调频谱归一化方法等。