阐述了基于IEEE1394总线的VXI零槽扩展基器件的基本原理,给出了1394/VXI零槽控制器的逻辑结构、软硬件设计和实现过程。试验结果表明该系统可以稳定地工作，能够和HP系列的VXI 总线设备进行互连和集成。

A new Fuzzy ART neural network model based on dual competition and resonance technique is proposed. This new model takes the competition and resonance method of the input nodes into the output nodes, putting the input nodes and output nodes competition and resonance together, solves the over-segmentation of the FART algorithm due to the vigilance's increase in the application of the image segmentation. Experimental results have shown that compared with the original FART, this algorithm has a better segmentation and antinoise performance.

According to the principle of human discrimination of small targets from a natural scene that there is a signature of discontinuity between the object and its neighboring regions, we develop an efficient method for multiscale small target detection using template matching based on a dissimilarity measure, which is called an average gray absolute difference maximum map (AGADMM), and infer the criterion of recognizing multiscale small objects from the properties of the AGADMM of the natural scene, which is a spatially independent and stable Gaussian randomeld. We explain how the AGADMM increases the ratio of the signal of object-to-background perturbations, improves the detectable probability, and keeps the false alarm probability very low. We analyze the complexity of computing an AGADMM and justify the validity and efficiency. Experiments with images of a natural scene such as a sky and sea surface have shown the great potential of the proposed method for distinguishing multiscale small objects from a natural scene. 1996 Society of Photo-Optical Instrumentation Engineers.

Autonomous real-time fingerprint verification, how to judge whether two fingerprints come from the same finger or not, is an important and difficult problem in AFIS (Automated Fingerprint Identification system). In addition to the non-linear deformation, two fingerprints from the same finger may also be dissimilar due to translation or rotation, all these factors do make the dissimilarities more great and lead to misjudgment, thus the correct verification rate highly depends on the deformation degree. In this paper, we present a new fast simple algorithm for fingerprint matching, derived from the Chang et al.'s method, to solve the problem of optimal matches between two fingerprints under nonlinear deformation. The proposed algorithm uses not only the feature points of fingerprints but also the multiple information of the ridge to reduce the computational complexity in fingerprint verification. Experiments with a number of fingerprint images have shown that this algorithm has higher efficiency than the existing of methods due to the reduced searching operations.

A fast object detection method based on object region dissimilarity and 1-D AGADM(one dimensional average gray absolute difference maximum) between object and background is proposed for real-time defection of small oshore targets. Then computational complexity, antinoise performance, the signal-to-noise ratio (SNR) gain between original images and their results as a function of SNR of original images and receiver operating characteristic (ROC) curve are analyzed and compared with those existing methods of small target detection such as two dimensional average gray absolute difference maximum (2-D AGADM), median contrastlter algorithm and multi-levellter algorithm. Experimental results and theoretical analysis have shown that the proposed method has faster speed and more adaptability to small object shape and also yields improved SNR performance. Small target detection, average gray absolute difference maximum, computational

简要介绍了MPEG-4AAC编码器算法原理,针对AAC算法复杂性高的特点,讨论AAC音频编码器的实现方案及关键技术,并对影响编码速度的耗时模块进行了优化。实验表明,与标准算法相比,本文算法处理速度提高大约40%,大大提高了编码实时性。

Detecting small targets in clutter scene and low SNR (Signal Noise Ratio) is an important and challenging problem in infrared (IR) images. In order to solve this problem, we should do works from two sides: enhancing targets and suppressing background. Firstly, in this paper, the system utilizes the average absolute difference maximum (AADM) as the dissimilarity measurement between targets and background region to enhance targets. Secondly, it uses a predictor to suppress the background clutter. Finally, our approach extracts the interested small target with segment threshold. Experimental results show that the algorithm proposed has better performance with respect to probability of detection and less computation complexity. It is an effective small infrared target detection algorithm against complex background.

根据人眼视觉显著性注意机制,提出基于序贯显著性特征的目标识别算法,把复杂背景下的目标识别问题转化为多特征的融合识别,将目标识别过程分成感兴趣区域检测和感兴趣目标检测两个子过程,并建立序贯显著性特征目标识别算法模型,序贯提取复杂图像区域的显著性特征,逐步缩小感兴趣区域范围,然后以基于D2S证据理论的多特征数据融合方法,通过多特征综合置信度的估计与分析,完成可靠的目标识别.试验研究表明,针对复杂背景下海面舰船目标,在相同的虚警概率下,该算法的检测概率比单一的不变矩算法和基于纹理特征算法平均要高20%.

MPEG4是一种低带宽的视频压缩标准,在网络视频会议与视频监控领域具有广泛的应用。由于DSP芯片具有处理器速度快、接口灵活和可编程等特点,可以满足新一代网络视频会议与视频监控实时应用智能终端与系统的处理要求。文章介绍了以ADI公司的高性能DSP芯片ADSP-BF533为平台,实现视频编码的方法

阐述了IEEE1394总线的工作原理与链路层控制器的设计方案,并以Altera公司的Cy2要clone系列FPG为平台,给出了IEEE1394链路层控制器的逻辑设计、功能仿真和电路验证。实验A表明,该控制器芯片达到了100Mbit/s的传输速度,符合IEEE1394规范。