rectifierwithspwm3phase

粒子群进化算法，标准的源代码程序和实例教程。(Evolutionary particle swarm algorithm, standard procedures and examples of source code tutorial.)

说明：  matlab中位值滤波，可以对连续信号进行中位值滤波(matlab median filter, the signal can be continuous median filter)

被控对象为G(S)=400/（s*s+500s）,首先运行模糊控制器程序chap4_2.m,并将模糊推理系统保存在a2中，然后运行模糊控制SIMULIK程序。位置指令为0.5sin（10t）,simulink见chap4_3(Controlled object is G (S) = 400/(s* s+500s), first run the fuzzy controller program chap4_2.m, and stored in a2 fuzzy inference system, and then run the fuzzy control SIMULIK program. Position command is 0.5sin (10t), simulink see chap4_3)

关于模式识别中运用到的模糊分类方法及分类器设计，是很好的参考程序。(About ISODATA algorithm Matlab language)

MODEM芯片内部寄存器地址，对每个寄存器进行操作，操作的数值很多，一个一个罗列下来。(MODEM chip register address for each register to operation, the operation of the values many, listing one by one down.)

灰色预测，用于已知几年的数据对港口吞吐量的预测(Grey Prediction，Forecasts for port throughput)

《MATLAB神经网络30个案例分析》中的第6个例子，案例6 PID神经元网络解耦控制算法_多变量系统控制。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 6 examples, case 6 _ multi-variable PID neural network decoupling control algorithm control system. Hope to have certain help to everybody! )

模拟在住不同条件下长周期光纤光栅的传输谱，给出了各个不同条件下传输谱的变化(Simulation under different conditions in living long period fiber grating transmission spectrum, gives the transmission spectrum under different conditions, changes in)

地震资料 数据处理 分频去噪 模块 主要压制随机噪音 异常振幅 野值 大值 方法特点：1 针对性强，主要去除随机噪音；2 随机噪音识别能力强，达到了较高的去噪水平；3 具有自适应性，能根据不同位置的不同特点统计识别噪音；4 振幅保真，对有效信号的保护性好；5 操作者可根据经验选择参数组合灵活去噪，达到较好的结果。 应用对比：为了展示本模块的去噪效果，所选取的对比对象是某知名成熟商业软件的分频去噪模块，其去噪效果在当前诸多成熟软件模块中是佼佼者，在地震资料处理界具有很好的口碑。 通过对比，说明本模块：1 针对性强，主要去除随机噪音和异常振幅等。2 随机噪音识别能力强，达到了较高的去噪水平。3 具有自适应性，能根据不同位置的不同特点统计识别噪音。4 振幅保真，对有效信号的保护性好。5 操作者可根据经验选择参数组合灵活去噪，达到较好的结果。(Frequency-dependent noise attenuation seismic data, processing module, is mainly to suppress random noise, denoising abnormal/large amplitude values Method of characteristics: 1 targeted, mainly to remove random noise 2 random noise and strong ability to identify , reach a higher level of de-noising 3 is adaptive , able to identify the noise statistics according to the different characteristics of different positions 4 amplitude fidelity , the effective protection of the signal is good 5 denoising operator flexibility to select the combination of parameters according to the experience , to achieve better results . Application contrast: To demonstrate the effect of the de-noising module , the selected object is a well-known comparative commercial software divide mature noising module de-noising effect is the current leader in many mature software module in seismic data processing industry has a good reputation. By contrast, the description of the module : a targeted, mai)

基于matlab车辆车牌文字识别功能(Matlab-based vehicle license plate character recognition function)