code-and-data

simulink_labs，，运动建模和仿真用的，matlab的工具箱之一，，，要需要的拿去，，(simulink_labs,, modeling and simulation exercise used, matlab toolbox of one, to take the necessary,,)

用matlab实现分形的绘图，可以达到对分形的进一步了接(Using matlab to achieve fractal drawings, fractals can be achieved for a then further)

通信系统仿真 1.FDMA的simulink仿真 2.TDMA的simulink仿真 3.CDMA的simulink仿真 4.三种多址方式比较 (详细要求请见文件内题目描述)(Communication system simulation 1.FDMA simulink simulation 2.TDMA simulink simulation 3.CDMA simulink simulation 4. Comparison of three multiple access (see the detailed requirements described in the document title))

pid参数整定，代码简单实用，适合初学者使用学习(the pid parameter tuning, the code is simple and practical, suitable for beginners to learn)

Create linear sweep excitation.

改程序是经典的模态识别程序，基本包括了所有的模态识别方法，包括prony法、era发、频域分析法，还具有有限元分析等功能，对模态分析特别有帮助。(Reform program is the classic modal identification procedures, including all of the basic modal identification methods, including prony law, era hair, frequency domain analysis, also has features such as finite element analysis, modal analysis of particularly helpful.)

本程序为与《多采样率系统》一书配套的（中文界面）MATLAB可视化程序(Multiraten systeme in matlab，easly Using )

元学习算法的一种——IDBD算法，实现信道均衡仿真(IDBD, a meta-learning algorithm, realizes channel equalization simulation)

详细且一目了然的RS编译码matlab仿真程序。 包括GF(Q)域的各种运算（每种运算一个函数功能文件），RS编码模块及译码模块。 期中译码模块又分为伴随式计算模块，错误位置多项式计算模块，错误位置计算模块，错误数值计算模块。 还包含了专门用于测试每个模块是否正确的testbache。完整，详细，正确(Detailed and clear RS codec matlab simulation program. Including the GF (Q) domain of a variety of computing (computing a function of each functional document), RS coding and decoding module module. During the decoding module is divided into modules with computing, error location polynomial calculation module, the error location calculation module, module numerical error. Also includes a special module for testing the validity of each testbache. Complete, detailed and correct)

说明：  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):