matlab16-QAM

熟悉matlab的人都会很清楚matlab中的feval()函数没法对匿名函数进行运算，当然更不可能执行当前路径之外或者说搜索路径之外的函数。还有eval只能执行字符串命令。 9 q2 u8 e" L& Y, E Z8 {然而evalf解决了上面的所有问题 (Matlab person familiar with the very clear matlab in feval () function can not be anonymous function of computing, of course, impossible to implement outside of the current path or the path outside the search function. There can only run eval command string. 9 q2 u8 e L )

使用MATLAB对单径的平坦瑞利衰落信道进行M仿真，并绘出衰落后的信道系数图(simulation of rayleigh channel)

求解微分方程（这里指的是常微分方程）指含有一次、二次、乃至高次微分未知数的方程。是解决偏微分方程、数理方程的基础。有许多特殊函数，都是为了无法得出多项函数或超越函数型式的解析解的微分方程而定义出来。这些特殊函数之所以重要，是因为它们描述了自然界中的某些现象，例如，电子的活动、鼓皮的振动、钟摆的摆动等等。(Solve differential equations (in this case is the ordinary differential equation) means containing one, two, and even high-differential equations unknowns. Is to solve the partial differential equations, mathematical equations based. There are many special functions, are not drawn to a number of functions or functions beyond the type of analytical solution of differential equations which define them. These special functions are important because they describe the nature of certain phenomena, for example, electronic activities, drum skin vibrations, pendulum swing, and so on. )

40 bytes in English40 bytes in English40 bytes in English

程序包涵盖了超宽带书中的函数，并进行了主程序的编写，最后构成了TH-PPM系统仿真基本程序(Package covers a function of the book Ultra-Wideband, and the preparation of the main program, the final composition of the TH-PPM system, the basic procedures for simulation)

matlab图像处理常用函数，详细列表及格式，举例(matlab image processing function)

lorenz序列产生程序，自己编写的，可产生时域波形图和混沌吸引子相图。(Lorenz chaotic sequence generation process, the preparation of their own, can produce the time-domain waveform and chaotic attractor.)

Matlab 数字图像矩阵数据的显示及其傅立叶变换(Digital image data matrix display and Fourier Transform)

turbo 码matlab编译码程序，包括map和siso译码算法(turbo codes Matlab encryption procedures, including the map and REJS decoding algorithm)

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):