Radar-Systems

实现了在三种ISI信道条件下，分别使用LMS算法和RLS算法对进行逆辨识和信道辨识及LMMSE估计。（详见自适应滤波大作业及其报告）(It use LMS and RLS algorithms to channel identification and equalization,inverse identifcation.You can see two words document in detail.)

说明：  可用来MATLAB绘制山区地貌图 圆柱与球面所围面积 心形线与马鞍面(Drawing with MATLAB)

ekf_algorithm for Mobile Robot Localization

filter based segmentation5

selected mapping technique for papr reduction

说明：  利用Matlab对2020年的澳大利亚山火进行模拟仿真，可以更直观地体现澳大利亚山火蔓延的过程。(Using MATLAB to simulate the Australian wildfire in 2020 can reflect the process of Australian wildfire spread more intuitively.)

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 )

the algorithm of cross validation

HHT实现的程序，包括EMD/EEMD,计算瞬时频率，统计重要性(HHT implementation procedures, including EMD/EEMD, calculating the instantaneous frequency, statistical significance)

調和搜尋演算法(Harmony Search HS)是將樂團演奏表現調整至最協調且美妙的現象引用到最佳化演算系統當中，而發展出一套全新的啟發式演算法(Reconcile the search algorithm (Harmony Search HS) is the Orchestra performance of coordinated and adjusted to the most wonderful reference to the best of the phenomenon Calculus systems are, and develop a new heuristic algorithm)