LE.matlab

matlab编程，包含了matlab编程使用方法与编程技巧，详细地介绍了matlab语言的使用和平时编程注意的要点。(matlab programming, matlab programming includes the use of methods and programming skills, detailed description of the matlab programming language to use and usually watch out for.)

该文档给出了通信原理中的数字调制和解调的matlab程序代码，如BPSK,QPSK,QAM等等调制方式。(the document is a communication principle of digital modulation and demodulation of the Matlab code. such as BPSK, QPSK, QAM modulation mode, and so on.)

interpolate the physical water properties

很详细的协作频谱感知源程序，对比清晰，对初学者有很大的帮助，欢迎指正批评.(Very detailed cooperative spectrum sensing source, contrast is clear, there is a great help for beginners, please correct me criticism.)

维特比解码码程序，内有详细说明，大学课程设计。(Viterbi decoding code procedures, which are described in detail, the design of university courses.)

该matlab源代码能对地震数据进行克希霍夫偏移。(The program kirchhoff offset seismic data)

matlab的一些程序的基础，希望对有需要的人有些帮助。(The basis of some programs in MATLAB is expected to be helpful to those in need.)

使用迭代算法对运动目标进行分割，阈值可以自适应调节(Using an iterative algorithm for moving target segmentation threshold can adaptively adjust)

scattering from wires using the method of moments with pulse basis functions.

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.)