swept-sine-vibration

power_syncmachine.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_syncmachine.rar, Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

米氏散射，关于散射光强和散射角的关系，希望对大家有帮助！(Mie scattering program about relationship between the relative intensity and scattering angle. May helpful to you!)

MLP network with fig

matlab中，运用开运算，显示不同半径开操作后剩余的像素和，&每个半径下粒度多少&半径为5时图像中粒度的分布情况(matlab, the use of open computing, display different radii after opening and operation of the remaining pixels, & Under each radius of the particle size distribution of the number & radius 5:00 granularity image)

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):

本文主要利用matlab编程工具对直接序列扩频通信的捕获过程进行仿真。仿真主要基于滑动相关法的有关理论,先讨论扩频仿真中起着重要作用的m序列的生成问题,尔后讨论调制信号的产生,然后在信号的捕获中分步讨论,先对捕获的流程进行简单的仿真,再依次加入噪声和多普勒频移后进行捕获仿真(In this paper, using matlab programming tools for direct sequence spread spectrum communication capture process simulation. Simulation of the sliding correlation method is based on the theory, first discuss the simulation plays an important role in spreading the m sequence generation problem, the modulation signal generation and later discussed, and the signal captured by stepping discussion processes the captured first simple simulation, and then followed by adding noise and Doppler frequency shift after the capture simulation)

使用Python编写的AI程序Pacman，可以适合AI的初学者，有BFS, DFS, UCS, A Star 运行的命令在commands.txt文件里 可以用 bash commands.txt演示(AI programs written in Python Pacman, AI can fit beginners, there BFS, DFS, UCS, the command runs in commands.txt A Star file can bash commands.txt demo)

遗传算法，Rastrigin 函数，清晰明确，认真仔细，希望快点上传，(Genetic algorithms, Rastrigin function，Clear, carefully, hoping upload,)

Low density parity check ....

This program places dates on time axis as DATETICK and works with ZOOM and PAN as DATETICKZOOM by Christophe Lauwerys. But, it also shows the full date after zooming or panning by using the ticks and time-axis label. So, if you zoom in down to second, you won t loose "when" you are. The input arguments are equal to those of DATETICK function, but if more than one axis handle is specified, they all will be LINKED! Also, some other options are available, for example, the use of LOCAL LANGUAGE for the months (default), or the use of an specific date format: DD HH:MM SS.FFF for example. Besides, sometimes with DATETICK you don t get optimal results. This program (try to) fix this problem. Just use it after some plot function with days (see DATENUM) in one of his axis (time-axis): t = linspace(0,1) + now x = rand(size(t)) plot(t,x) axis tight tlabel <---- Enjoy it! Bugs reports and suggestions will be very appreciated! (This program places dates on time axis as DATETICK and works with ZOOM and PAN as DATETICKZOOM by Christophe Lauwerys. But, it also shows the full date after zooming or panning by using the ticks and time-axis label. So, if you zoom in down to second, you won t loose "when" you are. The input arguments are equal to those of DATETICK function, but if more than one axis handle is specified, they all will be LINKED! Also, some other options are available, for example, the use of LOCAL LANGUAGE for the months (default), or the use of an specific date format: DD HH:MM SS.FFF for example. Besides, sometimes with DATETICK you don t get optimal results. This program (try to) fix this problem. Just use it after some plot function with days (see DATENUM) in one of his axis (time-axis): t = linspace(0,1)+ now x = rand(size(t)) plot(t,x) axis tight tlabel <---- Enjoy it! Bugs reports and suggestions will be very appreciated! )