ckf

这是我的毕业设计，是一个有关PCA与KPCA对数据进行处理提取其特征的程序，采用C++与MATLAB设计而成。(This is my graduation project, a PCA and KPCA on the data processing procedures for extracting the features using C++ and MATLAB design from.)

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.)

目标做转弯运动，利用卡尔曼滤波器对其进行跟踪滤波(Goal to make the turning movement, using the Kalman filter tracking filter)

一个很基础的预测控制，很简单的matlab程序(predictive control)

MATLAB7.0编程基础基础源程序,对于编程的初学者可以对照此书学习(MATLAB7.0 Programming-based source code, for programming beginners can learn the control book)

Decomposition EEG to its 5 Sub-bands using Wavelet

這是LEACH 在Matlab環境下可以直接執行的code(This is LEACH in Matlab environment can directly execute code)

一个详细的Matlab编辑的哈夫曼压缩源码(A detailed editing of Huffman compression Matlab source)

matlab algorithm，PCA (Principal component analysis)used for dimensionality reduction. usage:[NEW_DATA, EIGVECTOR, EIGVALUE] = PCA(DATA, EIG_N)

牛顿方法用于优化问题，其中包括最初等的牛顿方法。以及初始点不可行的算法。(Newton optimization)