Cryptography

说明：  伪随机码或称PN码，是扩频通信中不可缺少的一种序列。扩频通信，简单的说来就是通过一组相关性很强的伪随机序列，使原有的信号按照伪随机序列的特性出现。从波形上看，原有信号完全淹没于随机的噪声中，达到隐藏信号和抗干扰的目的。接受方只要有相同的伪随机序列，就可以通过伪随机序列很强的相关性将信号还原出来。而m序列，是扩频系统中最长用的伪随机序列。下面的代码就是基于matlab的生成m序列的代码，通过改变初始多项式的值，就可以生成不同阶数的m序列。(Pseudo-random code or PN code, spread spectrum communication is indispensable to a sequence. Spread spectrum communication, a simple to say that the adoption of a group of highly related to pseudo-random sequence, so that the original signal in accordance with the characteristics of pseudo-random sequence there. From the wave point of view, the original signal completely submerged in the random noise to hide the purpose of signal and interference. As long as the recipient has the same pseudo-random sequence, the pseudo-random sequence can be a strong correlation to restore the signal out. And m sequence spread spectrum system is the longest of the pseudo-random sequence used. The following code is generated based on m sequences of matlab code, by changing the value of the initial polynomial, we can generate a different order of the m sequence.)

实现卫星信号的捕获,并提供CA码的生成程序(gps aquisition，meanwhile include CA code production)

实现QPSK调制方式 通信matlab仿真中发送端的四相载波调制 (QPSK modulation to achieve communication matlab simulation in the sender' s four-phase modulation)

说明：  MATLAB程序：其中包含10余个MATLAB程序或（函数）的源代码。程序中所作的注释，与书中关于对应算法的描述是一致的(pde image deniosing)

彗星返回地球动态过程的matlab小程序 (matlab)

CCWARPF Warp cepstral coefficients

机器人避障,本算法研究了机器人在避障时的路径选择(Robot obstacle avoidance, the algorithm when the robot obstacle avoidance path selection)

自编的matlab KFDA程序，核费舍尔判别分析。用于TE过程的故障分类，其中包含正常数据以及故障9和故障11。包含了如何进行核训练，故障的分类等。(Directed the matlab KFDA program, nuclear Fisher discriminant analysis. TE for fault classification process, which includes normal and fault data and fault 9 11. Training includes how to conduct nuclear, fault classification.)

this codes about ga and contain 8 codes

以多光谱数据为原始数据，通过空间变换、滤波、融合、纹理及图像处理等手段，提取遥感图像多维、多尺度特征，最终建立面向目标检测、识别和分析的特征空间，并使用NASA的实测数据对方法的性能进行验证和分析。(Multi-spectral data to the original data, through space conversion, filtering tools, integration, texture and image processing, remote sensing images to extract multi-dimensional, multi-scale features, for the eventual establishment of target detection, identification and analysis of the characteristics of the space, and measured using NASA performance of the method for data verification and analysis.)