Source_coding

this project is my OPNET exam project.

无刷直流电机模型及双闭环控制，很实用，效果良好(Brushless DC motor model and double-loop control, it is practical to good effect)

自己构建的复杂时间结构的频谱分析图,频率为325MHz,占空比可看.作为参考(the fft of complex beam time structure)

基于matlab的十二脉波整流电路的仿真(Twelve pulse rectifier circuit )

This folder or any similar folder such as this created to hold your speech files, should be copied into the root folder C: , created on the local hard drive. Then the path will read thus C:SpeechDataTope... etc. An alternative is to modify the file setTemplates.m to change the directory as appropriate. Try to use the same microphone for training as well as for recognition to obtain improved accuracy. You might also need to tweak your sound card s mic input level. The recognition time is dependent on systems s processing power and has been observed at between 1 and 5 seconds on various x86 platforms. To speed up recognition, you can implement unconstrained DTW (this is the code portion taking most time).

由于传感器自身以及通信延迟等原因, 使得异步多传感器数据融合问题比同步问题的研究更 切合实际。 对连续时间系统在融合中心和各传感器节点分别进行异步离散化处理,离散后过程噪声与测 量噪声以及测量噪声之间相关,虽然相应连续时间系统中的噪声是不相关的。 最后推导了相关噪声情况 下的异步融合算法,仿真结果说明了算法的有效性。(Due to t he r easons of senso rs in it self and the communication delays, the r esearch of t he asy nchr onous multisensor da ta fusion pr oblem is mo re pr actical than t hat o f synchro no us one. Firstly t he continuo us-time system is discr etig ed in the fusio n center and all t he senso r nodes w it h differ ent sample interv al. T hen the measurement no ises are fo und to be co r related with each other and t he pr o- cess noise tho ugh the no ises of t he co rr espo nding continuo us-time sy st em ar e unco rr elat ed. Finally an asy nchr onous fusion algo r ithm is pr esented for the cor r elat ed noises case. Simulatio n results show t he v alidity o f the presented a lg or ithm)

加热炉的PID算法控制温度，经常用于温度控制方面的算法，此项目为FPGA控制温控经常用的算法，决对可行。(PID algorithm to control the temperature of the furnace, is often used for temperature control algorithms, this project FPGA control thermostat frequently used algorithms, never to be feasible.)

讲述MATLAB在图形处理上的方法，在GUI方面有指导作用！(MATLAB in the graphics processing on the way to have a guiding role in GUI!)

采用非线性动力学分析方法来研究互联网拥塞控制系统中存在 的复杂非线性动力学现象，如分岔(bifurcation)、混沌(chaos)等，针对不同参数该组源程序仿真互联网拥塞控制系统频闪模型的非线性动力学现象。(The programs study the dynamic behavior in stroboscopic model of Internet congestion control system is studied. )

关于随机分布控制理论中最基础的思想，主要是基于平方根B样条建模。(About randomly distributed control theory the most basic idea is mainly based on the square root of the B-spline modeling.)