adaboost

控制系统的PD校正设计及仿真源码PD control system design and simulation of source correction(Control System Design and Simulation of PD calibration source PD control system design and simulation of source correction)

国外经典书籍，帮助迅速理解学习MATLAB，从入门到精通，包括基本知识和使用方法(Classic books abroad, to help quickly learn to understand MATLAB, from entry to the master, including the basic knowledge and use of)

此程序为混有高斯白噪声的多径信道下的仿真，参数根据需要可以再次优化(This procedure mixed with white Gaussian noise multipath channel simulation, the parameters required can be re-optimized)

仿真实现了对目标跟踪的扩展卡尔曼滤波，并对误差进行了统计( realize the extended kalman filter)

迭代自适应Simpson，Lobatto积分 In almost every standard book on numerics quadrature algorithms like the adaptive Simpson or the adaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm. We present iterative adaptive quadrature algorithm (adaptiveSimpson and adaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (e.g. quad, quadv, and quadl). Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of adaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf. (Iterative Adaptive Simpson, Lobatto Points In almost every standard book on numerics quadrature algorithms like the adaptive Simpson or the adaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm.We present iterative adaptive quadrature algorithm (adaptiveSimpson and adaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (eg quad, quadv, and quadl) . Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of adaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf.)

photovoltaic solar panel model in maltab simulink We noted that the performances of a generator photovoltaic are strongly influenced by the climatic conditions, particularly the solar irradiation and the photovoltaic temperature of the module.

在直接定位系统模型下，利用子空间压缩感知算法进行无线目标的定位demo.(This demo uses subspace based CS algorithm to localize wireless device directly.)

l1-magic的matlab代码，l1-magic: Recovery of Sparse Signals via Convex Programming(l1-magic of matlab code, l1-magic: Recovery of Sparse Signalsvia Convex Programming)

matlab学习的很好的资料，上传给大家，供大家使用，是ppt的形式，有类型题(matlab reference)

说明：  Newton-Rapson matlab code