recnstitution

FSK实现，对数据的调制和解调，加入高斯白噪声，最后产生眼图。(FSK implementation, the data modulation and demodulation, add Gaussian white noise, and finally generate the eye diagram.)

signal processing,signal processing

介绍最大功率点追踪的变步长的算法和原理。(Describes the maximum power point tracking algorithm and variable step length principle.)

hybrid control and algorithm for inverted pendulum

短时傅里叶变换等各类时频方法的实现以及ISAR成像(Short time Fourier transform and ISAR imaging)

双极性二进制基带传输系统的仿真和误码性能验证 ①．发送信号的星座图，发送和接收信号的波形，不同信噪比情况下，接收信号的星座图 ②．画出无信道编码时，误比特率的理论曲线和仿真曲线，以及有信道编码时误比特率的仿真曲线 ③．解释以上获得的各种结果的合理性 ④．选做：选用不同纠错能力的信道编码方法，比较信道译码后的误码率(Simulation and Error Performance Verification of Bipolar Binary Baseband Transmission System (1) Constellation diagram of transmitted signal, waveform of transmitted and received signal, constellation diagram of received signal under different signal-to-noise ratio (2) Draw the theoretical and simulation curves of BER without channel coding and the simulation curves of BER with channel coding. (3) Explain the rationality of the results obtained above. (4) Choose: Choose channel coding methods with different error-correcting abilities to compare the bit error rate after channel decoding.)

包括多个实验代码和实验结果，也有思考题的解答。我算是浑身解数的上载我有的东西，只是为了能够下载我想要的东西(asdfghj)

主要是文章的算法验证。 Yaojili——验证算法，转换方程 Y_all——计算转换7参数 Y_angel——生成500组数据，验证算法 姚吉利——3维坐标转换参数直接计算的严密公式——文中标注为勘误。

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)

光伏并网逆变器的误差拍控制matlab仿真文件(PV and the grid inverter error racket control matlab simulation files)