NML-analyze

四种不同的算法在实现多项式相乘时的时间复杂度比较(Four different algorithms, when multiplied in the realization of polynomial time complexity comparison)

lazy snapping的算法，是image matting的一种方法(lazy snapping algorithm is a method of image matting)

这是"Matlab从入门到精通"一书的全部源代码程序！有兴趣的人员可以自己跑跑看看结果！(This is the " Matlab from the entry to the master," a book full source code program! Interested persons may look at the result that running their own!)

Heat transfer problem solved on L shaped solid body using MATLAB partial differential equation toolbox.

matlab程序，用于计算振动测试中歪度与峭度的函数。(matlab program, used to calculate the vibration test skewness and kurtosis of the function.)

用威布尔分布和matlab程序中的plot函数来模拟设备可靠性在维修后的恢复过程(Describe the recovery of reliability of facilities after maintenance utilizing weibull distribution and plot function in Matlab)

Core-point Research Paper

syndicate form for pro.nary exams

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.)

sar雷达成像算法仿真，希望有高手指点一下！(sar radar imaging algorithm simulation, you would like to have expert advice!)