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张德丰基于MATLAB的系统分析与设计——小波分析+范例源码；详细介绍包括小波分析工具箱的的使用（范例代码），小波去噪，图像压缩，并范例实现。另外还有小波包分析技术的理论及应用(Zhang Defeng MATLAB-Based System Analysis and Design- wavelet analysis+ example source details, including the use of wavelet analysis toolbox (sample code), wavelet denoising, image compression, and examples of implementation. There is also the theory of wavelet packet analysis and application)

说明：  关于正交信号中，复数的意义，其实复数是有实际意义的！(On the quadrature signal, the plural meaning, in fact, there is a complex meaningful!)

此函数举例描述了一种实现CDF画图的方法，该方法简单易行(This function for example, describes an implementation of CDF drawing method is simple)

该混沌发生器用Matlab编写，可以生成多种混沌模型。新Lu混沌系统是一类重要的新混沌系统，它显示了不同于以往混沌系统的复杂的动力学特性．(The preparation of the chaotic generator using Matlab, you can generate a variety of chaotic model.)

经典异步电机直接转矩控制，的simulink仿真(Classic direct torque control induction motor, the simulink simulation )

射频电路中各组件模拟，包括放大器、环形器、转接头、测试单元、smith源等(tools in radio frequency circuit, including amplifiers circles conversion networks smith.)

这是数字滤波器设计的一些程序，用Matlab语言编写的。(This is the number of digital filter design program written using Matlab language.)

algorithm to find stock price wave when using positive return rate as wave condition.For example, find the S&P500 index whole waves, whose change rate is more than 5 from bottom to top.

FixedLoad simulation in matlab simulink

Prueba1 FletcherReeves Hernández Santiago José Maestría en Ciencias de la Computación Septiembre / 2011 1. Comenzar con un punto arbitrario 2. Calcular Gradiente de Fi 3. Si el Gradiente Fi es igual a 0(converge), termina 4. Si el Gradiente Fi es !=0 continuar 5. Encontrar dirección de búsqueda Si= -GradienteFi= - Gradiente F(Xi) 6. Determinar la Longitud Optima del incremento lamda(i) en dirección Si X(i+1)=X(i)+lamda(i)*S(i)= X(i)-lamda(i)*Gradiente F(Xi) 7. Hacer i=2 8. Obtener Gradiente Fi 9. Calcular Si= -GradFi + ( [abs(GradFi)^2]/[abs(GradF(i-1))^2] )*S(i-1) 10. Determinar la Longitud Optima del incremento lamda(i) en dirección Si X(i+1)=X(i)+lamda(i)*S(i)= X(i)-lamda(i)*Gradiente F(Xi) 7. Verificar Optimalidad de X(i+1) Si es optimo, detener Si no es optimo hacer i=i+1 e ir al paso 8