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PSO

于 2020-12-18 发布

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下载积分: 1 下载次数: 2

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代码说明：

说明：粒子群优化算法工具箱，包含完整的参数优化子程序(Particle swarm optimization algorithm toolbox, including a complete parameter optimization subroutine)

文件列表：

105m.mat, 14592 , 2019-11-13
CostFunction.m, 409 , 2019-11-13
Denoised.png, 26521 , 2019-11-13
Greeting.wav, 19138 , 2019-11-13
init.m, 1974 , 2019-11-13
Original.png, 26544 , 2019-11-13
PSO.m, 3867 , 2019-11-13
README.md, 660 , 2019-11-13
Spectral.png, 43294 , 2019-11-13

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STM32F4xx_DSP_StdPeriph_Lib_V1.8.0
说明： stm32f4xx 官方标准外设固件库，含有多种类型的设计案例(Stm32f4xx official standard peripheral firmware library, containing a variety of design cases)

2019-02-22 18:46:45下载

积分：1
bpsk
bpsk调制matlab代码,仿真验证正确(bpsk modulation)

2013-10-10 20:14:15下载

积分：1
2nodes
opnet Ad hoc仿真源程序,自己构建的路由协议和网络模型(opnet Ad hoc simulation source code, to build its own routing protocol and network model)

2021-04-27 23:48:44下载

积分：1
WBDBF_Send
宽带发射波束形成仿真，16通道，合成角度可以让您以选择，观察角度也可以任意选择。选择了模拟延时线，并仿真了模拟延时线的量化误差。(the code is about WBDBF,it simulate the quantilization error effection of TDU.)

2011-12-03 17:28:18下载

积分：1
dotnetfx35
Random soource. This signal control is used for Random Source, Modulation, Antenna Slector modules

2016-11-27 19:24:52下载

积分：1
16186024
说明： MIMO-OFDM系统降低PAPR的天线旋转取反算法(Antenna rotation inversion algorithm for reducing PAPR in MIMO-OFDM system)

2019-03-26 17:55:32下载

积分：1
pi/4-dqpsk-1的verilog工程
说明： pi/4-dqpsk-1的verilog工程，实现电脑与FPGA自发自收(pi/4-dqpsk-1,It can realize the self receiving of computer and FPGA)

2020-07-19 19:41:35下载

积分：1
ThinkPHP_3.2.1_20140214
实用性代码，可以在手机等移动设备上很好的使用，可操作性强。(Usefulness of the code can be very good for use on mobile phones and other mobile devices operable.)

2014-02-26 09:57:45下载

积分：1
asyncio
说明： Python异步IO模块源代码，众所周知Python由于全局锁的问题在多线程支持上存在弊病，通过异步可有效提升效率(Python asynchronous IO source code)

2020-02-09 00:43:57下载

积分：1
ANFISCLUST_10SLOT
working of the fifth generation intelligent radio that is Cognitive Radio (CR) system which works on predictive data rate and propose ANFIS based learning scheme to introduce intelligence in it. The testing data set is taken from training set. Validation data set is unseen data. RMSE and prediction accuracy are used as performance index. Two gaussian membership functions are taken for each input. Error goal was set for .001.Training was for 300 epochs. It is seen prediction accuracy was 91 percentages in testing case and 89 in validation. RMSE difference between validation and testing case very small.

2011-11-29 23:02:21下载

积分：1

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PSO

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