Simultaneous state estimation and parameter identification in linear fractional order systems using coloured measurement noise

In the present paper, the identification and estimation problem of a single-input–single-output (SISO) fractional order state-space system will be addressed. A SISO state-space model is considered in which parameters and also state variables should be estimated. The canonical fractional order state-space system will be transformed into a regression equation by using a linear transformation and a shift operator that are appropriate for identification. The identification method provided in this paper is based on a recursive identification algorithm that has the capability of identifying the parameters of fractional order state-space system recursively. Another subject that will be addressed in this paper is a novel fractional order Kalman filter suitable for the systems with coloured measurement noise. The promising performance of the proposed methods is verified using two stable fractional order systems.     

Two types of El Niño and extratropical sea-level pressure variations

This study applies the nonlinear canonical correlation analysis (NLCCA) to explore the nonlinear relationship between the sea-level pressure (SLP) anomalies over the extratropical North Pacific and sea surface temperature (SST) anomalies in the tropical Pacific during 1985–2009. Our results suggest that the asymmetry between the warm eastern Pacific (EP) El Niño–Aleutian Low mode and the cool EP La Niña–anti-phase of the Aleutian Low mode is exhibited in the first NLCCA mode. Nonlinearity of the first NLCCA SST field is enhanced after 1998, and vice versa for the SLP field. The second NLCCA SST mode reveals weak nonlinearity representing the nonlinear central tropical Pacific (CP) El Niño–CP La Niña modes, while the second SLP field depicts the North Pacific Oscillation and anti-phase with the Aleutian Low phases. The nonlinearity of the second SST and SLP NLCCA modes is found to decrease gradually with time. During 1985–1997, the SST field exhibits linearity, while the SLP field shows weak nonlinearity. During 1997–2009, the SST and SLP fields both display weak linearity. Nonlinearity between the extratropical SLP and SST fields is further weakened from the first period. The Aleutian Low pattern could be excited by both EP and CP El Niños. Moreover, the CP El Niños have more connections with the North Pacific Oscillation state rather than the EP El Niños. Conclusively, this study reveals the asymmetric modes between the SLP and SST by the nonlinear method, and contributes to the understanding of the extratropical SLP variability response to two types El Niño events.     

Image compression-encryption scheme combining 2D compressive sensing with discrete fractional random transform

Multimedia Tools and Applications - Most of the existing image encryption algorithms based on compressive sensing are too complex to operate. An image compression-encryption scheme with simple...     

KeyStone架构的多核DSP中断路由机制及其实现方法

在KeyStone多核DSP应用系统中,中断的使用是不可或缺的一部分,处理中断的能力也是衡量一个芯片性能的重要因素之一.本文以TI公司推出的高性能TMS320C6670四核DSP为基础,讲述了基于KeyStone架构的多核DSP的中断路由机制,并以TMS320C6670集成的SRIO高速接口的LSU中断和DOORBELL中断为例,通过调用TMS320C6670的SYS/BIOS提供的CSL库函数,分别给出了两者的实现方法.     

集群系统管理与计费终端的程序设计

移动通信系统已开始运用计算机技术进步自动化管理。根据移动通信系统的要求,我们研制了系统管理计费终端与系统控制器的接口电路和管理计费软件。本文叙述了进行系统管理与计费工作过程,给出了较件程序流程。     

超媒体电子出版软件系统的设计与实现

阐述了一种超媒体电子出版软件系统,系统采用积件的设计思想,探讨了在积件思想下的制作方法,解决了超媒体应用中难于实现的分工协作以及在缺乏媒体情况下的制作问题,系统 以直观的奔顺序方式建立和组织媒体链接。     

基于MF-RC500的射频卡读写系统设计

MF-RC500完整的集成13.56MHz下所有类型的被动非接触式通信方式和协议,是一种先进的集成式射频芯片,本文设计一种基于MF-RC500的射频卡读写系统,系统主控制器采用具有超低功耗特性的MSP430系列微控制器.首先依据系统框图设计硬件电路系统,设计了MSP430f1232与MF-RC500的接口以及天线和EMC回路:另外设计了系统初始化程序及射频卡处理程序.该系统可读写Mifare Pro、Mifare One、Mifare Light等射频卡,具有一定的通用性.     

《计算机维护技术》课程教学改革的研究

坚持不懈地推进教学改革工作,注重理论与实践相结合的教学方法,通过对《计算机维护技术》课程的教学改革来提高学生的技术水平与实践操作能力,从而培养真正的高级应用型人才,是当前高校教育领域值得深入研究的问题。     

Multiplicative updates for nonnegative quadratic programming

Many problems in neural computation and statistical learning involve optimizations with nonnegativity constraints. In this article, we study convex problems in quadratic programming where the optimization is confined to an axis-aligned region in the nonnegative orthant. For these problems, we derive multiplicative updates that improve the value of the objective function at each iteration and converge monotonically to the global minimum. The updates have a simple closed form and do not involve any heuristics or free parameters that must be tuned to ensure convergence. Despite their simplicity, they differ strikingly in form from other multiplicative updates used in machine learning. We provide complete proofs of convergence for these updates and describe their application to problems in signal processing and pattern recognition.