enargie-soleil-final-KHERBACHI_ABDELHAMMID

说明：  四阶Runge-kuta求解算法matlab代码 含一篇文献介绍(Fourth-order algorithm lunge-kuta)

MATLAB 程式设计，MATLAB基本运算 MATLAB基本平面绘图 MATLAB基本立体绘图 (MATLAB programming, MATLAB basic computing basic plane MATLAB basic three-dimensional graphics MATLAB graphics)

matlab高级编程 课本中的源代码 作者谷源涛(" Matlab Advanced Programming," in the source code for textbook authors Gu Yuan Tao)

雷塞的6480运动控制卡，全套demo，注释详细(Raiser s 6480 motion control card, a full demo, detailed notes)

Ping original program. implement pinging test

遗传算法MALAB程序包，包括适应度、计算、选择交叉、变异等子程序(GA MALAB package, including fitness, calculation, select crossover and mutation subroutine)

ASK, FSK, PSK matlab code for modulation

1、验证窗函数 N 变化时，验证其频谱主瓣副瓣比、主瓣宽度的变化。 a)矩形窗函数的 N 变化时，验证其其频谱主瓣副瓣幅度比基本不会发生变化， 而主瓣宽度将会变窄。这说明，当用矩形窗函数设计滤波器时，增大 N 不能使 得阻带衰减减小，但能够减小过渡带。 b)再选取其他的窗如 hamming/hanning 窗，验证当 N 变化时，其频谱主瓣宽 度变化、主瓣副瓣比值变化情况。 2、用窗函数法设计线性相位 FIR 低通，通带截止频率 wp=0.5PI, 阻带截止频率 ws=0.6PI, 阻带衰减不小于 40dB,通带衰减不大于 3dB. a)选取 Hanning,Hamming 窗查看设计出来的 FIR 的过渡带宽和阻带衰减是否 满足要求，二者有什么不同。 b)使用 hamming 窗，将窗长增大 1 倍，设计 FIR。验证同样的窗函数类型 (hamming)，不同窗长度时，设计出来的 FIR 的过渡带宽和阻带衰减都有什么变 化。 3、不使用 Matlab 系统函数得到上一项指标的低通，并与上一项结果比较。 4 用窗函数法设计线性相位 FIR 高通，通带截止频率 wp=0.8PI, 阻带截止频率 ws=0.7PI, 阻带衰减不小于 30dB,通带衰减不大于 3dB.(An actual filter is implemented using the truncated unit impulse response sequence of the ideal filter. For the ideal low pass filter, the unit impulse response h, N, D () is intercepted by a length of N, and the length is The N sequence H (n), when intercepted, guarantees causality and linear phase requirements for the filter. In order to reduce the Gibbs effect, the H (n) window is added, and the appropriate window function is selected to ensure the stopband attenuation and Transition zone requirement. Note that the sidelobe of the window function affects the stopband attenuation of the filter, and the main lobe width affects the filter Transition bandwidth.)

Simulink Coder™ (formerly Real-Time Workshop® ) generates and executes C and C++ code from Simulink® diagrams, Stateflow® charts, and MATLAB® functions. The generated source code can be used for real-time and nonreal-time applications, including simulation acceleration, rapid prototyping, and hardware-in-the-loop testing. You can tune and monitor the generated code using Simulink or run and interact with the code outside MATLAB and Simulink.

image histogram equilization and edge detection