xyz2lab

五元十字阵的目标被动声定位算法仿真，给出目标方位角估计精度、俯仰角估计精度及距离估计精度，以及目标测向和测距的精度(Five-goal cross array orientation algorithm for passive acoustic simulation)

这是一个仿真qpsk信号通过不同信道模型（包括单径，多径，莱斯，瑞利平坦等信道）的性能的matlab程序。(This is a simulation qpsk signals through different channel model (including single-track, multi-track, Condoleezza Rice, Rayleigh and other flat Channel) Performance of Matlab procedures.)

It is to simulation SNR of UWB.

讨论了多目标情况下的信号处理，针对信号处理过程中遇到的多普勒敏感 性问题和多普勒分辨率问题进行了多普勒补偿和频率细化处理，通过仿真证明其可行 性和有效性 (This paper discusses the target signal processing, in view of the signal processing in the course of doppler sensitivity Sex and doppler resolution problem doppler compensation and frequency refining processing, through the simulation show the feasible Sex and effectiveness )

最炫民族风（凤凰传奇）旋律的MATLAB程序形式(MATLAB program in the form of the melody of the coolest Ethnic (Phoenix legend))

说明：  一个模拟雷达杂波的程序代码,对开发雷达模拟方面有借鉴作用。(A simulated radar clutter the code, the development of radar simulation serve as a reference.)

LTE-A系统中载波聚合介绍，初学者适合理解其概念(Carrier aggregation for LTE-advanced mobile communication systems.pdf)

该文件包含一些常用的无线网络定位基本算法，如TDOA、TOA和AOA。(Basic wireless positioning algorithm )

优秀论文及配套源码。首先阐述了负荷预测的应用研究现状，概括了负荷预测的特点及其影响因素，归纳了短期负荷预测的常用方法，并分析了各种方法的优劣；接着介绍了作为支持向量机（SVM）理论基础的统计学习理论和SVM的原理，推导了SVM回归模型；本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，而目前依然是基于经验的办法解决。对此，本文采用粒子群优化算法对模型参数进行寻优，以测试集误差作为判决依据，实现模型参数的优化选择，使得预测精度有所提高。实际算例表明，本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。(first expounds the recent application research of load forecasting, summarized the characteristics of load forecasting and influencing factors, summed up common methods of short-term load forecasting, and analyzed the advantages and disadvantages of each method then introduced statistical learning theory and the principle of SVM as the basis of support vector machine (SVM ) theory, SVM regression model is derived this paper adopted least squares support vector machine (LSSVM) model, according to the historical load data and meteorological data of a certain area of Zhejiang Taizhou, Analysised the various factors affecting the forecast, summed up the regularity of load change , amended "outliers" in the historical load data,the load forecasting factors to be considered were normalized. The two parameters of LSSVM have a significant impact on the model, but it is still soluted based on the experience currently. So, this paper adopted particle swarm optimization algorithm to optimized )

很多MATLAB经典算法的程序，比如插值与拟合、规划问题、数据分析、解方程、Dijkstra、Floyd、kruskal等等(some matlab Classical algorithm program，for exmple Dijkstra、Floyd、kruskal...)