Image edge detection based on beamlet transform

Combining beamlet transform with steerable filters, a new edge detection method based on line gra-dient is proposed. Compared with operators based on point local properties, the edge-detection results with this method achieve higher SNR and position accuracy, and are quite helpful for image registration, object identification, etc. Some edge-detection experiments on optical and SAR images that demonstrate the significant improvement over classical edge operators are also presented. Moreover, the template matching result based on edge information of optical reference image and SAR image also proves the validity of this method.     

改进的高性能级联积分梳状滤波器

为解决应用于采样率变换系统中的级联积分梳状(CIC)滤波器通带失真大和阻带衰减小对其应用的限制,在分析传统CIC滤波器传输函数和频谱特性的基础上,引入二级可调参数简单滤波器,设计一种高性能CIC滤波器。仿真结果表明,它与同级数规模的内插二阶多项式CIC滤波器、锐化CIC滤波器相比,阻带衰减分别提高20dB、80dB;通带性能得到较大改善;实现复杂度较低。因此,它适用于对通带、阻带性能和实现复杂度要求较高的采样率变换系统。     

Doppler radar by using single multicarrier pulse based on optical fibre delay lines

The proposed Doppler measurement technique shows that the Doppler measurements can be accomplished by a single pulse with multiple frequency components through optical fibre delay lines. Range and velocity ambiguity can be removed, and the velocity resolution can be improved dramatically by using long optical fibre delay lines. Furthermore, the velocity resolution can be modified by adjusting the length of optical fibre delay lines. In addition, the proposed radar can achieve high range resolution by using a single wideband pulse. As a result, the new approach can improve radar performance significantly.     

基于AccelDSP的自适应滤波器设计

给出了一种自适应滤波器的设计和FPGA的实现方法.简要分析了最小均方误差(LMS)、归一化最小均方误差(NLMS)和延迟最小均方误差(DLMS)自适应滤波器的工作原理,指出了3种滤波器的区别和联系.详细介绍使用Xil-inx公司的AccelDSP高层次设计工具设计自适应滤波器的流程与方法,说明了可综合Matlab语言的结构特点,提高硬件使用效率的途径等设计细节,得到了设计代码和仿真结果.设计经过硬件时序仿真验证,可以在FPGA中直接实现.仿真结果说明,NLMS滤波器对于音频信号有很好的收敛特性,DLMS滤波器可以达到很高的工作频率设计.设计方法对于其它数字信号处理系统的设计和实现具有参考价值.设计过程表明AccelDSP工具可以显著地提升数字信号处理系统的设计效率.     

状态变量法在电流模式有源滤波电路设计中的应用

提出了一种电流模式二阶滤波电路设计的通用状态变量方框法,并用该方法对运算放大器（ＯＰＡ）型、第二代电流传输器（ＣＣⅡ）型和跨导运算放大器－电容（ＯＴＡ－Ｃ）型有源电流滤波电路进行了系统分析,证明该方法行之有效。     

3型FIR带通滤波器优化设计研究

提出了一种基于BP学习算法的正弦基函数神经网络模型,给出了该网络系统的收敛性条件,研究了3型线性相位FIR带通滤波器优化设计实例．计算机仿真结果表明了该网络模型的有效性。     

EMD结合Teager能量用于语音情感识别

在语音情感识别系统中,语音情感特征的提取尤为重要,本文在前期已有对EMD分解研究的基础上,将EMD分解与Teager能量算子相结合,用于语音情感识别。文中首先利用EMD分解得到一组IMF分量,再对各阶IMF分量提取Teager能量,然后通过对不同语种的不同情感语音的Teager能量在Mel频率的分析,提出了一种新的情感特征：基于EMD分解的Mel频率的Teager能量谱系数(ETMC),最后利用SVM分类方法对不同语种的不同情感进行识别,实验结果表明,该方法有很好的识别结果。     

Modelling and Trading the English and German Stock Markets with Novelty Optimization Techniques

The motivation for this paper was the introduction of novel short‐term models to trade the FTSE 100 and DAX 30 exchange‐traded funds (ETF) indices. There are major contributions in this paper which include the introduction of an input selection criterion when utilizing an expansive universe of inputs, a hybrid combination of partial swarm optimizer (PSO) with radial basis function (RBF) neural networks, the application of a PSO algorithm to a traditional autoregressive moving model (ARMA), the application of a PSO algorithm to a higher‐order neural network and, finally, the introduction of a multi‐objective algorithm to optimize statistical and trading performance when trading an index. All the machine learning‐based methodologies and the conventional models are adapted and optimized to model the index. A PSO algorithm is used to optimize the weights in a traditional RBF neural network, in a higher‐order neural network (HONN) and the AR and MA terms of an ARMA model. In terms of checking the statistical and empirical accuracy of the novel models, we benchmark them with a traditional HONN, with an ARMA, with a moving average convergence/divergence model (MACD) and with a naïve strategy. More specifically, the trading and statistical performance of all models is investigated in a forecast simulation of the FTSE 100 and DAX 30 ETF time series over the period January 2004 to December 2015 using the last 3 years for out‐of‐sample testing. Finally, the empirical and statistical results indicate that the PSO‐RBF model outperforms all other examined models in terms of trading accuracy and profitability, even with mixed inputs and with only autoregressive inputs. Copyright © 2016 John Wiley & Sons, Ltd.     

实现高精度二阶有源滤波器的一种新方法

推导出了滤波器的“积分-求和”代数表达式,给出了PAC块的传递函数,介绍了利用在系统可编程模拟器件ispPAC10实现二阶有源滤波器的方法步骤。该滤波器具有工作稳定可靠、特性参数调整方便、设计成本低廉、保密性强等特点。     

基于自适应并行遗传算法优化设计的有源滤波器

提出一种用于有源滤波器的改进自适应并行遗传算法设计.引入了两个自适应算子:其一根据进化过程实现交叉和变异概率的自动调节;其二通过设计随机个体集和健壮个体集,实现种群个体的多样性和保护适应度高的个体不被破坏.采用基于岛屿的交换模型实现多种群间信息交换,扩大了种群的规模和相应的搜索空间.给出了利用该方法设计四阶切比雪夫低通滤波器的设计结果,并与基本遗传算法进行了比较实验,结果表明该算法收敛速度快、精度高,有效地克服了早熟现象.为大规模有源滤波器设计提供了方法上的支持.