一种基于SRT-8算法的SIMD浮点除法器的设计与实现

在科学计算、数字信号处理、通信和图像处理等应用中,除法运算是常用的基本操作之一。基于SRT 8除法算法,设计一个SIMD结构的IEEE 754标准浮点除法器,在同一硬件平台上能够实现双精度浮点除法和两个并行的单精度浮点除法。通过优化SRT 8迭代除法结构,提出商选择和余数加法的并行处理,并采用商数字存储技术降低迭代除法的计算延时,提高频率。同时,采用复用策略减少硬件资源开销,节省面积。实验表明,在40nm工艺下,本设计综合cell面积为18601.9681 μm2,运行频率可达2.5GHz,相对传统的SRT 8实现关键延迟减少了23.81%。     

基于Intel Xeon Phi的激光等离子体粒子模拟研究

激光等离子体粒子模拟广泛用于探索极端物质状态下的科学问题。将一种基于粒子云网格方法的三维等离子体粒子模拟程序LARED P移植到Intel Xeon Phi协处理器上。在移植的过程中,综合运用了Native和Offload两种编程模式：首先运用Native模式对LARED P程序中热点计算任务进行优化研究,通过采用SIMD扩展指令使该计算任务获得了4.61倍的加速;然后运用Offload模式将程序移植到CPU-Intel Xeon Phi异构系统上,并通过使用异步数据传输和双缓冲技术分别提升了程序性能9.8%和21.8%。     

倒谱距离和短时能量的语音端点检测方法研究

在讨论传统倒谱距离语音端点检测方法不足的基础上,提出了一种基于倒谱距离和短时能量的语音端点检测改进方法。基于倒谱距离的单参数端点检测方法在高信噪比环境下效果较好,然而在低信噪比的环境下其端点检测性能急剧下降。通过分析倒谱距离和短时能量各自的端点检测特性,建立了一种结合二者特点的双参数判决准则,在保证运算量没有显著增大的前提下提高了端点检测的准确率。仿真实验结果表明,新方法相对于基本倒谱距离端点检测方法,在低信噪比的高斯白噪声环境下端点检测性能有较明显提高。     

Variable partial-update NLMS algorithms with data-selective updating

We note that some existing algorithms are based on the normalized least-mean square （NLMS） algorithm and aim to reduce the computational complexity of NLMS all inherited from the solution of the same optimization problem, but with different constraints. A new constraint is analyzed to substitute an extra searching technique in the set-membership partial-update NLMS algorithm （SM-PU-NLMS） which aims to get a variable number of updating coefficients for a further reduction of computational complexity. We get a closed form expression of the new constraint without extra searching technique to generate a novel set-membership variable-partial-update NLMS （SM-VPU-NLMS） algorithm. Note that tile SM-VPU-NLMS algorithm obtains a faster convergence and a smaller mean-squared error （MSE） than the existing SM-PU-NLMS. It is pointed out that the closed form expression can also be applied to the conventional variable-step-size partial-update NLMS （VSS-PU-NLMS） algorithm. The novel variable-step-size variable-partial-update NLMS （VSS-VPU-NLMS） algorithm is also verified to get a further computational complexity reduction. Simulation results verify that our analysis is reasonable and effective.     

The Torque Transmission Capabilities of the Adhesively-Bonded Tubular Single Lap Joint and the Double Lap Joint

With the wide application of fiber-reinforced composite materials in aircraft, space structures and robot arms, the design and manufacture of composite joints have become a very important research area because they are often the weakest areas in composite structures.

In this paper, the stress and torque transmission capabilities of the adhesively-bonded tubular single lap joint and the double lap joint were experimentally tested. In order to compare the experimental results with the calculated results, the stress and torque transmission capabilities were analyzed by the 3-dimensional finite element method taking into consideration the nonlinear properties of the adhesive.

From the experiments it was found that the torque transmission capabilities of the adhesively-bonded double lap joint was 2.7 times as large as that of the single lap joint. Also, it was found that the fatigue limit of the double lap joint was 16 times as large as that of the single lap joint.     

二级倒立摆的拟人智能控制

以二级倒立摆为被控对象,利用拟人智能控制方法设计了系统的非线性控制律。与传统的控制方法相比,拟人智能控制方法不受线性约束,从而对于复杂的非线性被控对象可以得到满意的控制结果。对二级倒立摆控制系统进行了数字仿真,仿真结果进一步验证了设计方案的有效性。     

面向需求不确定的混装线物流车辆配送区域划分方法

静态的物流车辆调度方案难以适应需求不确定引起的混流装配线物料需求动态变化,导致配送效率低下,甚至生产流程紊乱等问题。针对此问题,提出了一种面向需求不确定的混流装配线物流车辆配送区域划分方法。首先,分析需求不确定对物流车辆配送量的影响,提出了基于信息熵的配送任务复杂性测度方法。其次,在复杂性测度的基础上,建立以物流配送车辆满载率最大、配送任务复杂度最小为目标的调度优化模型。最后,在实例中应用遗传算法对调度优化模型进行求解,得出物流车辆配送区域最优划分方案。结果表明,所提方法能够输出适应需求不确定的物流车辆配送区域划分方案,满足需求变化的同时,保证车辆满载率维持在最高水平,并降低配送任务复杂度,减少配送错误发生率。     

ISAR imaging algorithm for targets with the complex motion based on the high-order ambiguity function-Lv's distribution

In ISAR imaging for targets with the complex motion, since the azimuth high order phase terms caused by the time-varying rotation vector will deteriorate the azimuth focusing quality, the traditional RD algorithm and LFM model are not appropriate. Thereby, in the case when the received signal can be modeled as cubic phase signals (CPSs), this paper proposes an ISAR imaging algorithm based on HAF-LVD (high-order ambiguity function-Lv's distribution). First, this algorithm defines a novel double lag parametric instantaneous autocorrelation function, and then applies the scaling operator to remove the coupling and utilizes FFT to achieve the energy accumulation. Finally, the non-searching estimation of the moving parameter and the ISAR images for targets are accomplished by the obtained HAF-LVD. Because of the introduction of the scaling factor, this algorithm can flexibly deal with more changeful and hostile ISAR environment without loss of the anti-noise performance and computational efficiency. Simulation results validate the effectiveness of the ISAR imaging approach.     

人字齿行星传动多体动力学建模与分析

根据人字齿行星传动的结构特点,借助ADAMS建立该类传动的多体动力学模型,对其进行自由振动特性分析。结果表明,当人字齿轮左右两部分结构完全对称时,人字齿行星传动存在中心构件扭转振动、中心构件平移振动和行星轮振动3种典型模式,且3种振动模式的特点与直齿行星传动基本一致。在不考虑传动件结构柔性的情况下,基于多体动力学模型的自由振动分析结果与采用集中参数模型的仿真结果完全一致,表明本文所建模型的正确性,可为后续的参数敏感度分析及动响应分析提供模型依据。     

基于Hash算法的DNA序列k-mer index问题的数学建模

针对查找DNA序列的相似序列问题,给出了建立索引和查找索引的数学模型,基于Hash算法,建立了依赖于k值大小的顺序索引模型和散列索引模型,特别对较大k值选用了DJBHash函数,有效的避免了Hash冲突问题。最后在硬件平台CPU为2.6GHz、内存为8G、操作系统为64位Windows 7的条件下,对100万条长度为100的DNA序列进行了测试,给出了不同k值下建立和查询索引的用时和占用内存情况,有效的解决了DNA序列的k-mer index问题。