一种基于DCT和SVM的人脸识别新方法

文中提出了一种新的人脸识别方法,该方法采用DCT提取人脸特征,并采用SVM对该特征进行分类识别。基于该方法,对ORL人脸库进行分类识别,仅用28个特征平均识别率达到97.4%。仿真结果表明,该方法显著地降低了特征维数和计算复杂度,明显提高了特征的可辨别能力,而且,SVM可以有效地提高分类器的分类和推广能力。     

一种短交织长度匹配交织器设计

针对无迫零比特结构Turbo码,给出了一种短交织长度匹配交织器设计准则,通过确保局部坏点对应Turbo码码重,有效减少了Turbo码字中小重量码字数量。仿真结果表明,与两种传统方法设计的交织器相比,文中算法所得交织器性能更加优良。     

Reluctant guerrillas in early nineteenth century China: the White Lotus insurgents and their suppressors

ABSTRACT

At the turn of the nineteenth century, China’s Qing dynasty (1644–1912) was hit by a sectarian rebellion. Commonly considered a breakpoint marking the end of the dynasty’s golden age spanning most of the eighteenth century, the war to suppress the rebels, referred to as the White Lotus War (1796–1804) in this article (‘White Lotus’ was the umbrella name used by both the authorities and some sectarians for their teaching), exposed many structural drawbacks of the Qing political and military systems and depleted the dynasty’s financial resources, which had never been recovered. Reluctant in embracing guerrilla warfare in the beginning, the insurgents quickly turned themselves into master guerrillas. Shuttling in two massive mountain ranges in central China, they managed to prolong their rebellion and fought some successful battles against their suppressors. Superior in manpower, weaponry, and logistical support, the government forces had to adapt to guerrilla warfare, albeit passively and ineptly. This article gives a brief introduction to this little-known episode of guerrilla war at the turn of the nineteenth century in Qing China, expounds the strengths and weaknesses of both sides, and sheds light on the roots of the war’s long duration and the grim consequences to the Qing state.