qpsk_ML

灰色预测模型，用于预测人口及各种预测模型(Gray forecasting model used to predict the population and various predictive models)

The sourcecode of Universally-Convergent Squared-Operator Iteration Methods for fig3 using SOM

太阳能三种mppt算法包括干扰观察法，电导增益法，变步长电导增益法(Solar mppt algorithm includes three kinds of interference with observation, electrical conductivity gain method, variable step-size conductivity Gain Method)

这里我们针对三级固体火箭进行研究，主要考虑每一级发动机工作时推力 和比冲 与发动机试车存在摄动偏差（相差 ）时所产生火箭关机点时刻的状态偏差。火箭的飞行的动力学方程可建立在地面发射坐标系中，火箭的第一级、第二级和第三级按照固定的俯仰角程序飞行，第二、三级飞行时已在大气层外，此时可忽略气动力的影响。(Here we study for three solid rocket, the main consideration at every level when the engine thrust and state arising the moment the rocket off point perturbation deviation (difference) in the presence of specific impulse and engine test bias. Outside of the rocket flight dynamics equations can be established on the ground coordinate system launch, the rocket s first stage, the second and third stages according to a fixed elevation angle of flight procedures, and the second, when the third flight already in the atmosphere, this when can ignore the effects of gas dynamics.)

MODLEACH is a protocol developed for wireless sensor networks and is a routing protocol

毕业论文 基于LSB图像水印系统设计matlab实现(Graduation thesis matlab based on LSB image watermarking system design)

说明：  系统辨识，对一个传递函数的系数进行辨识，用MATLAB在时域和频域上，进行辨识。(System identification of a transfer function coefficients identification, use of MATLAB in the time domain and frequency domain up for identification.)

调频系统仿真实例-调频系统仿真信号输出源代码(FM system simulation- Simulation FM signal output source code)

三维点云法向量估计综述由于获取方便、表示简单、灵活等优势，点云逐渐成为常用的三维模型表示方法之一。法向量作为点云必不可少的属性 之一，其估计方法在点云处理中具有重要的位置。另一方面，由于点云获取过程中不可避免的噪声、误差和遮挡，点云中通常含 有噪声、外点和空洞，并且部分采样模型如CAD模型，也会存在尖锐特征，这些都给法向量估计提出了挑战。对当前已有的点云 法向量估计算法进行综述，分析其原理及关键技术，着重分析它们在处理噪声、外点和尖锐特征等方面的能力并给出比较，最后 为未来研究提供了一些建议(The three-dimensional point cloud normal vector estimation summarized obtain convenient, represents a simple, flexible, and becoming one of the methods commonly used three-dimensional model represents the point cloud. Normal vector of one of the as point clouds essential attributes, its estimation method has important position in the point cloud processing. On the other hand, the noise is inevitable in the process to obtain because of the point cloud, error and occlusion, point cloud typically contains noise outside point and empty, and part of the sampling model such as CAD models, there will still be sharp features, which gave the normal vector estimated that presents a challenge. Overview of current existing point cloud normal vector estimation algorithm, analysis of the principle and key technologies, and analyzed their ability to deal with the noise, the outer points and sharp features and gives comparison, and finally provide some suggestions for future research)

RRT 的思想是快速扩张一群像树一样的路径以探索（填充）空间的大部分区域，伺机找到可行的路径。(The idea of RRT is to rapidly expand a group of tree-like paths to explore (fill) most areas of space, waiting for the opportunity to find feasible paths.)