SeismoSignal-v4.3.0_build101---

利用MATLAB计算图像盒维数的M文件。自己定参数。(Image box dimension calculation)

1）利用CC++语言实现给定的LFSR； 2）通过不同初始状态生成相应的序列，并观察它们的周期有什么特点； 3）利用生成的序列对文本进行加/解密（按对应位作模2加运算）。 给定的LFSR为：(1) the use of C C++ language given LFSR 2) to generate the corresponding sequences by different initial state, and observe what are the characteristics of their cycle 3) using the generated sequence of text encryption/decryption (press the corresponding bit for modulo-2 addition operation). LFSR given as follows:)

GSA,万有引力算法用于求解智能优化问题,效果特好!!(GSA, Gravitation intelligent optimization algorithm is used to solve problems, good special effects!!)

使用push-relabel方法求解最大流问题，是国外的一个研究机构编写的，速度很快。(This is an efficient implementation of the push-relabel method. See Goldberg and Tarjan, "A New Approach to the Maximum Flow Problem," J. ACM Vol. 35, 921--940, 1988 and Cherkassky and Goldberg, "On Implementing Push-Relabel Method for the Maximum Flow Problem," Proc. IPCO-4, 157--171, 1995.)

SIMRTP,a RTP demo application from Taiwan.(SIMRTP, a RTP demo application from Taiwan.)

最近找的求解方程的程序，可以借鉴下，挺好的(Solving equations to find the most recent program, you can learn, the very good)

说明：  信道编码用于计算信道的容量，计算起来比较简单迅速。(Channel coding is used to calculate the channel capacity, calculate simple fast.)

详细讲解信号处理的pdf,里面包含了FFT，小波，希尔伯特-黄变换等内容，是信号处理方面很好的参考资料(Explain in detail the signal processing pdf, which contains the FFT, wavelet, Hilbert- Huang Transform, etc., is a good reference for signal processing, data)

image quantisation technique

强主动声纳信号干扰被动声探测的仿真分析.被动声探测是探测和跟踪水中噪声目标的重要手段,但强主动声纳信号的出现将对被动声探测产生很强的干扰作用,影响被动声纳对噪声目标的检测或跟踪。本文通过计算机仿真,分析被动声纳的积分时间、强主动声纳信号的强度、脉冲宽度和发射周期四个因素对强主动声纳信号干扰被动声探测程度的影响。(Simulation analysis of passive acoustic detection of a strong active sonar signal interference passive acoustic detection is an important means to detect and track water noise goals, but the emergence of strong active sonar signal will be passive acoustic detection generate strong interference effect, the impact of passive acoustic satisfied noise target detection or tracking. This paper through computer simulation, and analysis of the four factors of the integration time of the passive sonar, a strong active sonar signal intensity, pulse width, and launch cycle impact of passive acoustic detection of a strong active sonar signal interference.)