仿生优化算法

Optimum matlab implementation

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：  此文件夹主要是在学习自适应语音小波阈值去噪中所查找的文献，其中论文包括自适应算法的介绍、语音小波自适应去噪、其他数字信号自适应小波阈值去噪。(This folder is the main voice in the learning adaptive wavelet threshold denoising in the search of the literature, which includes adaptive algorithm thesis presentation, voice, wavelet adaptive denoising, and other digital signal adaptive wavelet thresholding.)

说明：  用matlab完成基于最小错误率的贝叶斯分类器的设计(Done with matlab error rate based on the minimum design of Bayesian classifier)

LMS最小均方算法,作为自适应滤波以及自适应均衡过程的一个评估准则(LMS least mean square algorithm as an adaptive filtering and adaptive equalization process assessment criteria)

基于MATLAB的小波变换，源码很有用,可以直接运行(using VC++ Wavelet image enhancement)

图像的匹配算法，陈显毅书上的经典医学图像配准算法(Image matching algorithm, Chen Xianyi book classic medical image registration algorithm)

matlab的模式识别工具箱箱，非常有助于开发可直接使用。 (Matlab pattern recognition toolbox box, very helpful in the development can be used directly.)

ofdm transmission involves each and every single block of the ofdm transmitter with exact output

扩展卡尔曼轨迹追踪的仿真程序，输出目标的实际位置，及误差曲线。(Extended kalman tracking simulation program, the actual position of the target output, and error curve. )