program

用来测试手机待机情况下所能使用的最大内存量，普通用函数调用得到的剩于内存是错误的，这个通过用INT占用内存来获得可以使用的内存真正空间大小(Used to test mobile phone standby cases the maximum amount of memory can be used by the general use function calls get left in the memory is wrong, it occupied by the memory by using INT can be used to obtain the real memory space)

说明：  文件夹中内容为《MATLAB7.x数字信号处理》书中实例源代码，代码说明参见该文件夹下的“程序说明.doc”文件。(The contents of the folder as &quot MATLAB7.x digital signal processing,&quot the book source code examples, code instructions see the folder under the &quot description of the procedures. Doc&quot file.)

用matlab编写的采用遗传算法进行图像分割程序。(Genetic algorithm for image segmentation using matlab program.)

张正友摄像机标定matlab程序，用来求出摄像机的内外参数矩阵。(Zhang Zhengyou camera calibration matlab procedures used to calculate the camera' s internal and external parameter matrix.)

通过4阶龙格库塔方法求解混沌系统的微分方程(Through four order Runge-Kutta method for solving differential equations of chaotic systems)

BIOMEDICAL SCIENCE DIRECT PAPERS

Huffman、汉明编译码:首先对给定的信源序列进行概率统计，得出信源符号的概率 p，之后进行Huffman 编码，再进行信道汉明编码。(Huffman coding and decoding: firstly given source sequence probability and statistics, the probability derived source symbols p, after Huffman coding.)

说明：  运用粒子群算法优化支持向量机的回归型预测实例(An example of regression prediction)

The spectrum sensing problem has gained new aspects with cognitive radio and opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive radio systems. In this paper, a survey of spectrum sensing methodologies for cognitive radio is presented. Various aspects of spectrum sensing problem are studied from a cognitive radio perspective and multi-dimensional spectrum sensing concept is introduced. Challenges associated with spectrum sensing are given and enabling spectrum sensing methods are reviewed. The paper explains the cooperative sensing concept and its various forms. External sensing algorithms and other alternative sensing methods are discussed. Furthermore, statistical modeling of network traffic and utilization of these models for prediction of primary user behavior is studied. Finally, sensing features of some current wireless standards are given.

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