空间矢量脉宽调制的仿真研究及其实现

在分析了空间矢量脉宽调制（SVPWM）理论的基础上，详细地介绍了在Simulink仿真环境下实现SVPWM的方法。对交流永磁同步电动机控制系统进行了仿真研究，给出了电流仿真波形，并对电流波形进行了谐波分析。基于TMS320LF2407A，对SVPWM两种实现方案进行了分析研究。实验结果表明，SVPWM能有效地提高电机的运行性能。     

基于SVPWM的永磁同步电动机控制系统设计

针对传统的永磁同步电动机驱动器采用正弦脉宽调制技术存在直流母线电压利用率不高的问题,提出了一种基于SVPWM的永磁同步电动机控制系统的设计方案;分析了该系统的工作原理,详细介绍了SVPWM算法的实现,并给出了该系统的硬件及软件设计。实验结果表明,该系统启动速度快,运行稳定。     

Flicker visibility and related visual discomfort in 3‐D displays with LED backlight

Abstract— In this paper, the perception of flicker in time‐sequential or field‐sequential 3‐D LC TVs driven by LED backlights is described. The seriousness of the perceived flicker and its influence on visual discomfort is investigated for various backlight operational modes. Results show that display backlights presenting different temporal light distribution have significant contribution to flicker visibility and visual discomfort. The display dimension, 2‐D or 3‐D, affects visual discomfort but not flicker visibility. The relationship between visual discomfort and flicker visibility is proportional when rendering 2‐D images, but not in the case of 3‐D images. Finally, a simple model is presented to evaluate visual discomfort related to flicker in 2‐D rendering.     

The automatic model selection and variable kernel width for RBF neural networks

The Orthogonal Least Squares (OLS) algorithm has been extensively used in basis selection for RBF networks, but it is unable to perform model selection automatically because the tolerance ρ must be specified manually. This introduces noise and it is difficult to implement in the parametric complexity of real-time system. Therefore, a generic criterion that detects the optimum number of its basis functions is proposed. In this paper, not only the Bayesian Information Criterion (BIC) method, used for fitness calculation, is incorporated into the basis function selection process of the OLS algorithm for assigning its appropriate number, but also a new method is developed to optimize the widths of the Gaussian functions in order to improve the generalization performance. The augmented algorithm is employed to the Radial Basis Function Neural Networks (RBFNN) for known and unknown noise nonlinear dynamic systems and its performance is compared with the standard OLS; experimental results show that both the efficacy of BIC for fitness calculation and the importance of proper choice of basis function widths are significant.     

高度优先加法链m元标量速乘算法研究

为提高标量点乘在移动计算设备中的运算效率,并增强其计算安全性,比较分析了加法链方法、m-ary方法等标量点乘方法的执行过程和加速性能特征,提出了基于高度优先加法链和自由窗口宽度的Improved-m-ary的标量点乘方法。分析结论和实验仿真数据表明,该方法能有效减轻标量平均汉明重量,降低标量点乘计算量,内嵌的窗口值杂乱化机制使得其针对旁路信道分析攻击表现出出色的免疫力。     

基于DSP的高精度测频方法与软件设计

提出了一种基于数字信号处理器(DSP)的测频方法,用于光纤涡轮流量计转子叶片频率的测量.在简要分析了光纤涡轮流量计的工作原理的基础上,设计出了光纤涡轮流量计测量系统软件的硬件电路平台;阐述了利用事件管理器通用定时器实现高精度数据采集方法的设计与DSP实现;分析了高稳定性、实时性的FIR滤波算法与DSP实现;讨论了利用插值方法改进FFT算法实现高精度测频的DSP实现;利用通用定时器的比较操作来产生脉宽调制(PWM)波,实现TTL电平输出.     

基于Arduino控制板的数据采集智能小车的控制系统设计与实现

为实现具有环境数据采集功能的智能小车控制,设计并实现了基于Ardu-no控制板的控制系统。选用Arduino Mega 2560控制板为控制核心,搭配DS1-B20温度传感器、DHT11湿度传感器、MQ-2烟雾传感器、超声波测距传感器、E-P8266Wifi通讯模块组成硬件系统;采用PWM脉宽调制技术调节小车行进速度,PID算法调节小车的行进方向。调试结果表明,小车具有基于Wifi的无线遥控操作功能,能够对起所处环境中的温度、湿度、烟雾数据进行实时测量、采集和传输,并能自动检测前方障碍物。证明了基于Arduino控制板的控制系统在环境数据采集智能小车中应用的可行性。     

小数乘法器的低功耗设计与实现

提出一种针对小数乘法器的低功耗设计算法,其优化指标为综合后小数乘法器内部寄存中间运算结果的寄存器位宽,解决了目前低功耗设计中算法自身逻辑单元被引入系统从而降低系统优化效果的问题.该算法能够在不降低系统工作效率、不损失系统运算精度、不增加额外逻辑单元的条件下,大幅降低系统功耗和面积.在使用该算法对某一射频模块进行优化后,硬件测试结果显示该射频模块对某型号FPGA的逻辑占用率相比优化前降低17.9％,寄存器总数降低30.7％,存储单元占用率降低21.5％.该算法适用于对含有大量小数乘法运算的系统进行低功耗优化.     

Computing efficiently the lattice width in any dimension

We provide an algorithm for the exact computation of the lattice width of a set of points K in Z² in linear-time with respect to the size of K. This method consists in computing a particular surrounding polygon. From this polygon, we deduce a set of candidate vectors allowing the computation of the lattice width. Moreover, we describe how this new algorithm can be extended to an arbitrary dimension thanks to a greedy and practical approach to compute a surrounding polytope. Indeed, this last computation is very efficient in practice as it processes only a few linear time iterations whatever the size of the set of points. Hence, it avoids complex geometric processings.