基于FPGA的车辆振动信号提取方法

为了从车辆复杂噪声背景中实时提取陀螺仪的有效振动信号,在分析弱信号特征提取方法的基础上,针对自适应滤波算法处理相关信号时收敛速度降低的缺点,提出一种适用于FPGA（Field Programmable Gata Ar-ray）的自适应步长LMS（Least Mean Square）算法。该算法通过建立步长和误差信号相关值之间的非线性关系,使步长仅与输入有用信号相关,降低算法对噪声的敏感度。实验以收敛速度和计算复杂度两个指标对该算法与其他改进算法进行比较,并以真实车辆振动信号提取结果分析验证该算法对车载环境噪声和陀螺仪自身噪声都有较好抑制。在用算法计算基础上,以FPGA平台提出并实现一种可扩展滤波器结构。设计采用一阶滤波单元重用方式完成多阶累加计算,在目前最大规模FPGA芯片上实现8～256阶滤波器。实验表明,该设计充分利用芯片内逻辑资源,处理速度快,可靠性高,并适用于车辆中低速行驶姿态测量系统。     

Study on the Influence of Piloti on Mean Radiant Temperature in Residential Blocks by 3-D Unsteady State Heat Balance Radiation Calculation

Piloti is commonly used in tropical and subtropical climate zones to get high wind velocity and create shadowed areas in order to optimize the living environment of residential blocks, but there are few studies to reveal the influence of piloti on the radiant environment of residential blocks systematically. Taking the city of Guangzhou as an example, using 3-D Unsteady State Heat Balance Radiation Calculation Method, this paper shows that the mean radiant temperature (MRT) under piloti area increases with the increase of piloti ratio, and especially when piloti ratio is equal to 100％, the MRT increase trend becomes sharp. The MRT of exposed area decreases with the increase of piloti ratio, especially when piloti ratio reaches 100％, the decrease trend of MRT becomes sharp, which offers the reference for the study on piloti design in subtropical climate zones and further research on living environment by CFD simulation in residential blocks.     

复插值逼近从单位圆盘扩大到Jordan区域的边界充要条件

D是复平面上Jordan闭曲线Γ围成的单连区域.自20世纪40年代以来,在闭域D上用Hermite插值多项式一致逼近和平均逼近f(z)∈A(q)(D),已经有很多研究而且还在继续研究.大量作者接连不断地减少区域边界条件以期提高论文的水平.什么是最少的边界条件?直到现在,这个问题似乎还没有解决.本文已经发现并证明了:为了Hermite插值多项式收敛于f(z)∈A(q)(D—),其充分必要条件是Γ∈C~,即设这区域边界曲线Γ的参数表示是z=z(t),它具有一阶导数z'(t)连续且不等于零于[0,2π]上.     

Overlapped universal filtered multicarrier system for uplink wireless communication

Universal filtered multicarrier (UFMC) is a promising new waveform that eliminates cyclic prefix and performs filtering on a chunk of successive subcarriers. Therefore, it is suitable for applications with requirements on high spectral efficiency and low latency. However, the limited bandwidth may be an obstacle for reliable communication in frequency selective channels. This paper proposes a new transmitter structure for uplink wireless communication system based on UFMC waveform. The basic idea is to allow a user to transmit its information on more than one subband simultaneously, increasing its robustness against frequency selectivity. To eliminate the multiuser interference brought by the overlapped transmission strategy, an iterative receiver with parallel interference cancellation is designed. Rate analysis is provided to reveal the rationale of the proposed scheme. Simulations on the symbol error rate performance are conducted to validate the transceiver design. It is found that the proposed scheme outperforms existing UFMC design without sacrificing any other performance metrics with only moderately increased complexity.     

Monitoring multistage processes with autocorrelated observations

In multistage manufacturing processes, autocorrelations within stages over time are prevalent and the classical control charts are often ineffective in monitoring such processes. In this paper, we derive a linear state space model of an autocorrelated multistage process as a vector autoregressive process, and construct novel multivariate control charts, CBAM and Conditional-based MEWMA, for detecting the mean changes in a multistage process based on a projection scheme by incorporating in-control stage information. When in-control stages are unknown, finding in-control stages is a challenging issue due to the autocorrelations over time and the sequential correlations between stages. To overcome this difficulty, we propose a conditional-based selection that chooses stages with strong evidences of in-control stage using the cascading property of multistage processes. The information of selected stages is effectively utilised in obtaining powerful test statistics for detecting a mean change. The performance of the proposed charts is compared with other existing procedures under different scenarios. Both simulation studies and a real example show the effectiveness of the conditional-based charts in detecting a wide range of small mean shifts compared with the other existing control charts.     

Evaluating and addressing the effects of regression to the mean phenomenon in estimating collision frequencies on urban high collision concentration locations

Two different methods for addressing the regression to the mean phenomenon (RTM) were evaluated using empirical data:

• 1The Empirical Bayes (EB) method, which combines observed collision data and Safety Performance Functions (SPF) to estimate expected collision frequency of a site.
• 2Continuous Risk Profile (CRP), which estimates true collision profile constructed after filtering out the noise.

Data from 110 miles of freeway located in California were used to evaluate the performance of the EB and CRP methods in addressing RTM. CRP outperformed the EB method in estimating collision frequencies in selected high collision concentration locations (HCCLs). Findings indicate that the performance of the EB method can be markedly affected when SPF is biased, while the performance of CRP remains much less affected. The CRP method was more effective in addressing RTM.     

反常积分中值定理

建立并证明了无穷限反常积分与无界函数反常积分的中值定理,并对闭区间上连续函数的性质进行了推广,得到若干在无穷区间上的相关结论。     

一种模糊自适应滤波算法的研究与实现

为解决均值滤波和中值滤波算法在数字信号处理中存在的问题,提出一种模糊自适应滤波算法．根据每个元素噪声度的大小控制均值滤波窗口的大小,并做了大量的仿真．与普通的均值滤波和中值滤波进行比较发现,该方法不仅很好地去除了信号中混有的脉冲,而且在不损坏信号细节的前提下,很好地滤除了噪声信号．最后,使用了信噪比改善因子S来检验算法的滤波效果,证明其滤波效果好于传统的中值滤波和均值滤波,且具有算法简单、实时性好等特点,并已经应用在很多场合．     

一种低复杂度的LDPC码改进型UMP BP-Based译码算法*

为了弥补UMP BP-Based相对于LLR BP译码算法的性能缺陷,提出一种改进型UMP BP-Based译码算法。通过将Normalized BP-Based和Offset BP-Based译码算法的优点相结合,并利用最小均方误差准则来计算该算法中的参数。仿真结果表明,在相同误码率的情况下,改进型UMP BP-Based译码算法比UMP BP-Based、Normalized BP-Based以及Offset BP-Based具有更好的LDPC译码性能。     

基于EMD自适应滤波的谱分析方法研究

经验模态分解（EMD）是一种分析非线性非平稳信号的时频分析方法．基于该方法提出一种新的自适应滤波算法EMD—LMS,并对滤波后信号进行谱分析．实验表明：与经典的功率谱分析方法相比,本文提出的谱分析方法具有更好的分辨率．