MyPca

双相介质的交错网格有限差分波场模拟与AVO属性分析程序，包含了不同精度的交错网格程序，特征值分析法边界吸收条件，双相介质的弹性参数计算程序，以及AVO属性计算分析程序(Two-phase media of the staggered-grid finite-difference wave field simulation and AVO attribute analysis program, including the different precision staggered grid procedure, characteristic absorption of the boundary value analysis conditions, two-phase media of the elastic parameters calculation procedures, as well as calculation of AVO attribute analysis program)

Matlab语言在天线设计中的使用 很有用的资料(Matlab language design in the use of antenna very useful information)

说明：  二分法的matlab实现，希望能对大家有帮助。(erfenfa matlab)

说明：  最近看到有人提问怎样用FFT实现频谱分析，我认为能够进行到频谱分析的人，对于系统研究的深度基本上已经相当不错了。本人今天做了一个例程，发给大家参考一下。 历程主要内容(signal_analyzer.rar)如下： test1.txt 第一列为时间t，0.001s为步长；第二列为系统的输入信号；第三列为系统的输出信号。 signal_analyzer.m首先将test1.txt 的数据读入workspace，然后进行FFT，分析出两信号的频率，输出对于输入的幅值衰减（db），输出对输入的相位差。(The question was asked recently to see the realization of how to use FFT spectral analysis, I think that spectral analysis can be carried out to those who study the depth of the system basically is already quite good. Today I made a routine, distributed to Members for reference. The main contents of the course (signal_analyzer.rar) are as follows: test1.txt the first time as t, 0.001s for the step the second as the system input signal the third as a system output signal. signal_analyzer.m first test1.txt data read into workspace, and then proceed to FFT, analysis of the two signal frequency, output amplitude for input attenuation (db), the output of the input phase difference.)

灰色预测的程序，灰色预测是对不确定系统数据的预测(Gray prediction procedure, gray prediction is for uncertain system data)

simulate ber performance of example turbo code (rate-1/3, rsc = (1 5/7))

延迟函数的编写，希望能给大家提供点微bao之力(delay)

采用彩色图像进行路径的识别，它是实现自动驾驶的关键技术(The use of color images to identify the path, it is the realization of the key technologies autopilot)

说明：  Matlab教程第11章，编成与案例教学(Matlab Guide Chapter 11, compiled and Case Teaching)

用BFGS算法求解无约束问题 是一种比秩1算法更有效的优化方法(Unconstrained problem with BFGS algorithm is an algorithm is more efficient than the rank of an optimization method)