(1)diedai-Otsu-jubu

介绍了无线应用中的通信系统的情况以及是如何仿真的。(Introduced a wireless communication system applications, as well as how the simulation.)

一个用vc做的挖金子的游戏，有几关，可供参考(gold)

cosmic下载数据，读取其中的有用数据，phs，prof等数据，画出电离层电子密度(cosmic download data, read one of the useful data, phs, prof other data, draw the ionospheric electron density)

说明：  通过实际采集到的数据，数显通过数据预处理，进行不良数据的清洗，然后通过PCA降维，k均值聚类提取运动学片段，建立运动学片段库，通过随机策略提取运动学片段构成汽车行驶工况。(Through the actual collected data, the digital display cleans the bad data through data pretreatment, and then extracts the kinematics fragments through PCA dimensionality reduction, K-means clustering, establishes the kinematics fragments library, and extracts the kinematics fragments through random strategy to form the driving conditions of the vehicle.)

Resolution of heat equation using Crank Nicholson method. Implemented in matlab language.

说明：  用Matlab实现中值滤波，均值滤波以及高斯滤波(Using Matlab to achieve median filter, mean filter and Gaussian filter)

一个师兄的毕设，一些自适应信号处理的算法，遗传算法无功优化。( A complete set of brothers, Some adaptive signal processing algorithms, Genetic algorithm based reactive power optimization.)

说明：  毕业设计，OFDM系统仿真，并使用多种编解码和纠错码(Graduation Project, OFDM system simulation, and use a variety of codecs and error-correcting codes)

一种基于Boost电路的光伏最大功率跟踪方法,内部详细介绍了BOOST电路的原理及其在光伏发电中实现MPPT跟踪，值得学习。(Boost circuit-based photovoltaic maximum power point tracking method, the internal details of the BOOST circuit theory and its application in photovoltaic MPPT tracking is implemented, it is worth learning.)

: 针对实际振动位移难以获取的问题, 利用振动位移与加速度信号之间的关系, 先对采样后的加速度信 号采用时域数值积分,得到含有趋势项的速度信号及位移信号,再采用拟合多项式极值的方法, 消除积分过程 中产生的趋势项,从而得到更为精确的速度和位移信号. 算例表明, 利用拟合多项式极值消除趋势项的方法, 得到的位移时程曲线拟合精度高(: In pract ical engineering , the collection of displacement data is mo re dif ficult than that of the acceleratio n data in the time-domain .Displacement sig nals w as g ot f rom acceleration s ignals using aumerical integrat ion , wi th the t rend o f erro r. Poly nomial fit ting method o f ex t reme value to eliminate the trend of erro r w as proposed . More precise di splacement data can be acquired f rom thi s algo rithm. The example show s that thi s alg orithm can get hig h accuracy displacement data f rom the acceleration data mo re easi ly .)