纤维降解率为焦点

用matlab编辑的软件，可以实现龙格贝积分，程序运行先提示输入被积分函数及积分区间，最后输出结果(Using matlab editing software, Long Gabe points can be achieved, the program prompts to run the first input is integral function and integral interval, the final output)

Implements the basic power spectral subtraction algorithm

我自己编写的用遗传算法寻找KSW最佳二维阈值，搞噪效果很好。(I prepared using genetic algorithm to find the best 2D Threshold KSW, engage in noise with good results.)

直扩信号的循环谱，不懂直扩信号不懂循环谱的可以看一看(Direct Sequence Spread Spectrum signal cycle, do not know do not know DSSS signal cyclic spectrum can take a look)

说明：  掌握矩阵和数组的一般操作，包括创建、保存、修改和调用等。学习矩阵和数组的加减运算与乘法。掌握对数组中元素的寻访与赋值，会对数组进行一般的操作。 (Master matrix and an array of general operations, including create, save, modify, and recalls. Learning addition and subtraction and multiplication of matrices and arrays. Mastery of the search and the assignment of elements in the array, the array will carry out general operations.)

【无人驾驶传感器之64线激光雷达】 velodyne hdl64es2 64线激光雷达点云数据处理之雷达返回值与转角关系([64 line laser radar sensor of the unmanned] velodyne hdl64es2 64 lines lidar point cloud radar data processing of the return value and the angular relationship)

说明：  material property for RCWA calculation

说明：  此为matlab教程范例，包括图像、小波分析、优化、神经网络、遗传算法及其他部分范例(This is an example of matlab tutorials, including images, wavelet analysis, optimization, neural networks, genetic algorithms and other parts of sample)

无线传感器网络加权质心自定位算法中加权质心算法仿真(Centroid algorithm simulation in wsn)

Paper Abstract – An adaptive control of Distributed Generation (DG) to provide predictable active power output at the primary distribution substation is described. Often, distribution networks accommodate renewable energy different energy sources and thus using different energy conversion sources. As the amount of generation that comes intermittent renewable sources (e.g. wind energy) increases, network operators start to concern with the uncertainty of generation. However, when the power output intermittent renewable sources is predicted, the network operators can reduce the operational costs of the network and the DG owners may go on the market. Thus, our challenge with this work was to develop an algorithm which can predict the active power output the aggregation of wind and biomass energy at the primary distribution substation of a typical distribution network. Wind and biomass energy plant are onto the same distribution network but not necessarily onto the same feeder.