moving-object-target-detection

说明：  A fast algorithm for level set-like active contours

It is again about modulation techniques

两块无线大的PEC板位于YOZ平面，一块位于x=0电位为0V，另一块位于x=4电位为20V，使用一维有限元方法求解板间电位。 (Two wireless PEC board located YOZ to plane, one at x = 0 potential is 0V, and the other one is located in x = 4 the potential of 20V, the one-dimensional finite element method for solving the potential between the plates. )

this code optimize the parameter of PID controller

说明：  ST分段控制的iOS，精选ios编程学习源码，很好的参考资料。(ST segment control of iOS, ios programming learning source selection, a good reference.)

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 )

Model-Based_Predictive_Control_A practical approach，pdf图书和图书配套的matlab仿真代码(Model-Based_Predictive_Control_A practical approach, book and matlab code for this book)

Least Square Parameter Estmiation System Identification - Calculate expection value & variance of parameter estimators(teta_hat) ... for different random noise variance & different input signals - FUM university

LDPC码经典BP译码程序,Matlab环境下,可运行成功(ldpc codes bp decoding in matlab enviorment)

Evoked Potentials for EEG