For2010a

很好的matlab书籍，最好的是：书中的文本可以选择，对编程极为有利(Matlab good books, the best is: the text of the book to choose from, be extremely beneficial to the program)

距离正规化水平集演化及其应用到图像分割程序代码，李純明开发。(Distance Regularized Level Set Evolution and Its Application to Image Segmentation )

The main content of this book introduces the kalman filter. Content in detail, a theoretical depth is worth reference

说明：   基于matlab 偏差补偿最小二乘的递推算法(Matlab error compensation based on the recursive least squares algorithm)

This package implements fast compressed sensing using structurally random matrices (SRM) described in [1] and [2]. As the package is still under development any comments or bug reports are highly welcome.

this is a code which can get the expected value of choosing 52 cades.

复杂网络的无标度网络模型的MATLAB的编程算法(Complex network scale-free network programming algorithms)

用matlab编写的遗传算法结合潮流计算的程序(Matlab prepared using genetic algorithm combined with the trend of the calculation procedure)

在机动目标跟踪中，机动目标模型是机动目标跟踪的基本要素之一，一般希望机动目标模型能准确表征目标机动时的各种运动状态。比较常用的模型有匀速运动(CV)模型、匀加速运动(CA) 模型、时间相关模型（Singer）和机动目标“当前”统计模型。上述模型均采用机动频率表征目标的机动情况。在应用当中，通常采用固定的机动频率，这就表示机动目标的机动时间是一定的，而实际上机动目标的机动时间是不断变化的，也就是说机动频率是不断变化的，采用固定机动频率必然会带来误差。采样周期在0.5—2S时，机动频率越小跟踪精度越高[1]，但机动频率仍然是固定值。本文提出的基于神经网络的机动频率自适应调整方法可以使机动频率随机动而变化，从而提高状态估计的准确性，提高跟踪精度。本文将小波神经网络用于机动目标跟踪中机动频率的自适应调整，该算法对机动目标“当前”统计模型中的机动频率进行实时修改, 从而自适应的改变机动频率,使跟踪算法与目标的真实状态更接近。该算法采用小波神经网络的离线训练，实时性好。(The maneuver of the maneuvering target is uncertain. The maneuvering frequency is constantly changeable, but traditionally it is beforehand determined as a constant based on the target state estimation in the state model of the maneuvering target. The maneuver of the maneuvering target makes the kinematics equation of the target model mismatch with the practical motion model and the tracking error will be increased. Based on the advantages of the self-learning, the rapid convergence rate and the nonlinear approximation ability of the wavelet neural network, it was put forward to be used in the field of target tracking in the paper. The new residual is used as the input of the wavelet neural network, the output of the network is used to adjust adaptively the maneuvering frequency of the CS model. The algorithm is more close to the real state of the target. The simulation results showed that tracking error can be reduced and the tracking accuracy can be improved.)

说明：  matlab 平面单元分析 适合采用matlab进行有限元计算的朋友(Plane element analysis matlab matlab for finite element analysis using friends)