Herramientas-de-MATLAB

函数优化，随机输入一个函数，优化产生最优值。(Function optimization, random input a function, optimization produces optimal value.)

说明：  实现运动模糊方向和运动模糊长度参数估计的方法。(estimation of motion blur parameters)

实现读取图像并自动绘图GUI界面，可以更改输入的参数并计算(Read the images and graphics to achieve automatic GUI interface, you can change the input parameters and calculate)

有借鉴意义哦，这个有中文注释，看得明白，计算晶粒的生长，入门级别程序。( There are reference Oh, The Chinese have a comment, understand it, Calculation of growth, entry-level program grain.)

说明：  异步电动机直接转据控制系统中电流信号的AD转换，可直接用于工程项目中(direct asynchronous motor control system according to which the current signal AD conversion, can be used directly in projects)

说明：  用matlab开发的微粒群算法工具箱，使用方法见说明(using Matlab development of the particle swarm algorithm toolbox, use see note)

bfgs算法中需要用到的步长规则嗬嗬嗬嗬(the BFGS method)

matlab code for Arduino IO package Slides and Examples

说明：  任务：设计一个4×2.5Gbit/s 长距离光纤传输系统，并利用OptiSystem 仿真验证。 要求： 1．采用波分复用技术，波长设置以100GHz 为间隔，频率分别为193.1THz、193.2THz、193.3THz、193.4THz，每个波长传输速率为2.5Gbit/s（NRZ），传输距离为300km。采用常规光纤，光纤损耗系数为0.25dB/km。 2．单通道光发送机最大输出功率为0dBm，光接收机的接收光功率不低于－26dBm，过载点为－10dBm。 3．可以采用EDFA 作为线路放大器，其中EDFA 的输入功率限制在－18～2dBm，最大输出功率20dBm，增益范围为13～25dB，噪声指数4.0dB。(Task: Design a 4 x 2.5 Gbit/s long-distance optical fiber transmission system, and use OptiSystem simulation to verify. Requirement: 1. Using wavelength division multiplexing technology, the wavelength is set at 100GHz intervals, with frequencies of 193.1 THz, 193.2 THz, 193.3 THz and 193.4 THz, respectively. The transmission rate of each wavelength is 2.5 Gbit/s (NRZ), and the transmission distance is 300 km. The loss coefficient of conventional optical fibers is 0.25dB/km. 2. The maximum output power of a single-channel optical transmitter is 0 dBm, and the receiving power of an optical receiver is not less than -26 dBm, and the overload point is -10 dBm. 3. EDFA can be used as line amplifier, where the input power of EDFA is limited to - 18-2dBm, the maximum output power is 20dBm, the gain range is 13-25dB, and the noise index is 4.0dB.)

Metodo Runge Kutta per risolvere ODE