嵌入式RISC核MPEG2/AC3解码器

介绍了在一个嵌入RISC核的AC3／MPEG2音／视频解码器中，通过增加特殊指令及其相应的硬件逻辑，对AC3的音频解码进行了一定的改进，不仅达到了AC3解码的实时性要求，而且降低了对存储器的要求。     

实时Motion JPEG2000视频编码系统设计

介绍了基于ADV202 JPEG2000编码芯片的Motion JPEG2000视频编码系统,该系统可实现SMPTE274M的实时编码,支持失真/无失真编码,与标准完全兼容.给出了系统硬件结构和软件流程设计,提出了一种利用帧间相关性减少编码计算量的码率控制方法.     

基于SIP的宽带实时多媒体通信研究与实现

介绍了会晤创建协议(SIP)，提出了基于SIP的应用系统——SRMCS，针对该实时多媒体通信系统，分析了其音频模块的实现和背景噪音的处理、视频模块的实现和视频的流畅播放，并就实时多媒体通信系统的关键问题——视、音频同步给出了可行的解决方案，最后还探讨了本系统中信令流和媒体流的传输方式。     

一种计算机实时控制系统的分析及其DCS实现

简述了计算机实时控制及分布式控制系统(DCS)的一般特点．并以某型水下机器人的控制系统为例，详细介绍了一种小型实时DCS系统的具体实现。     

Quality Control for Scalable Media Processing Applications

Many media processing applications create a load that varies significantly over time. Hence, if such an application is assigned a lower processing-time budget than needed in its worst-case load situation, deadline misses are likely to occur. This problem can be dealt with by designing media processing applications in a scalable fashion. A scalable media processing application can run in multiple qualities, leading to correspondingly different resource demands. The problem we consider is to find an accompanying quality control strategy, which minimizes both the number of deadline misses and the number of quality changes, while maximizing the quality of processing. We present an initial approach to the above problem by modeling it as a Markov decision process (MDP). Our model is based on measuring relative progress at milestones. Solving the MDP results in a quality control strategy that can be applied during runtime with only little overhead. We evaluate our approach by means of a practical example, which concerns a scalable MPEG-2 decoder.     

主动雷达终端实时仿真软件的设计与实现

在主动雷达数据回放显示的基础上,通过使用D irectDraw和Intel IPP技术,设计了主动雷达终端实时仿真软件,包括信号处理、数据处理及终端显示等模块,极大地提高了软件的执行效率,使得整个仿真过程具有良好的实时性。本文介绍了该软件的设计及实现。     

一类Feistel密码的线性分析

该文提出一种新的求取分组密码线性偏差上界的方法，特别适用于密钥线性作用的Feistel密码．该分析方法的思路是，首先对密码体制线性偏差进行严格的数学描述，分别给出密码线性偏差与轮函数F及S盒的线性偏差的数学关系；然后通过求取线性方程组最小重量解，确定密码线性偏差的上界．     

对素描教学现状的思考

要培养学生的创造力，教师主要起引导作用。应提倡感性的观察方法与理性的表现相结合。从构图阶段开始就应该贯穿创新意念，鼓励学生采用大胆新奇的构图，以独特的视觉去观察对象、设计函面，充分发挥学生的主观能动性。     

Verbal Representation and Therapeutic Change in Anaclitic and Introjective Inpatients.

This study examined the relation between changes in clinical functioning and changes in verbal expression in 81 seriously disturbed and treatment-resistant young adults seen in a comprehensive, psychoanalytically oriented inpatient treatment. Clinical functioning was evaluated with a battery of clinical and social measures. Verbal representations were assessed using computer-assisted scoring of Thematic Apperception Test responses. Changes in the frequency of verbal content and style in the narratives of these patients covaried with changes in clinical functioning. Significantly different covariations of verbal and clinical change, particularly differences in covariates of referential activity, were found for patients with anaclitic versus introjective personality configurations. The implications of these findings for understanding and treating severe psychopathology are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A Neural Network Approach for Signal Detection in Digital Communications

In this paper, we propose a new approach for signal detection in wireless digital communications based on the neural network with transient chaos and time-varying gain (NNTCTG), and give a concrete model of the signal detector after appropriate transformations and mappings. It is well known that the problem of the maximum likelihood signal detection can be described as a complex optimization problem that has so many local optima that conventional Hopfield-type neural networks fail to solve. By refraining from the serious local optima problem of Hopfield-type neural networks, the NNTCTG makes use of the time-varying parameters of the recurrent neural network to control the evolving behavior of the network so that the network undergoes the transition from chaotic behavior to gradient convergence. It has richer and more flexible dynamics rather than conventional neural networks only with point attractors, so that it can be expected to have much ability to search for globally optimal or near-optimal solutions. After going through a transiently inverse-bifurcation process, the NNTCTG can approach the global optimum or the neighborhood of global optimum of our problem. Simulation experiments have been performed to show the effectiveness and validation of the proposed neural network based method for the signal detection in digital communications.