DQPSK

射线追踪,包含了起点和终点的射线函数，对于地震传播研究具有重要意义！(Raytracing in a v(z) world. The toolbox contains functions forshooting fans of rays and functions for tracing rays with specific start and end points. General multi-bounce rays with any number of mode conversions can be traced. Automatic routines for P-P and P-S primaries in shot-gather geometry are provided for convenience. Any recording geometry can be used but most functions vectorize (e.g. are most efficient) for shot-gather geometry. Only traveltimes and rayparameters are detemined, not amplitudes. In these routines, the velocity models should be considered as "background" models. This means that the depths at which flections and mode conversions occur are dependent of the depths given as layer boundaries in the velocity models. Velocity models are specified by a vector of velocities and a same-size vector of depths. The j th velocity is in effect from the j th to the j+1 th depth. The bottom of the model is assumed at infinite depth. Thus v=5000 and z=0 specifies a cons)

用simulink作的MTI高通滤波器的仿真程序，其中输入信号为高斯色噪声，可以对输出作时域和频域分析。(MTI using simulink for high-pass filter of the simulation program, in which the input signal for Gaussian colored noise can be output for the time domain and frequency domain analysis.)

an class is created having different properties of material

manual para montar un cluster

Digital image exercices

用matlab实现的完整的遗传算法，希望对爱好matlab和建模的同学有所帮助。(Using matlab to achieve a complete genetic algorithm, hope-loving students and modeling matlab help.)

说明：  关于Julia集和Mandelbrot集的MATLAB程序(the programs of Julia set and Mandelbrot set with MATLAB)

这是matlab里面的machinelearning工具箱，里面有很多例程方便初学者(This is the Matlab inside machinelearning toolbox, there are a lot of routines to facilitate beginners)

该程序是用ＭＡＴＬＡＢ语言编写的符合３ＧＰＰＰ标准的ＴＵＲＢＯ编码内交织器．(that the procedure was used to prepare the MATLAB with 3GPPP Turbo coding standards within intertwined device.)

《MATLAB神经网络30个案例分析》中的第11个例子，案例11 连续Hopfield神经网络的优化-旅行商问题优化计算。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 11 examples, case 11 continuous Hopfield neural network optimization- traveling salesman problem optimization calculation. Hope to have certain help to everybody! )