13770704511-DP1

To design any filter using any window matlab code

code for filtering for DWT Chain process

图像复原 退化模型 连续退化模型 离散退化模型 复原的代数方法 代数复原原理 逆滤波复原 最小二乘方滤波 MATLAB 实现图像复原 维纳滤波复原 规则化滤波复原 Lucy-Richardson 复原 盲去卷积复原 图像复原的其它 MATLAB 函数 (Degradation of image restoration model continuous degradation model discrete degradation model recovery principles of algebra algebraic inverse filter to recover to recover MATLAB least squares filtering for image restoration Wiener filter to recover the rules-based filtering to recover Lucy-Richardson deconvolution to recover Blind Image Restoration to recover the other MATLAB Functions)

说明：  本书全面的介绍了MATLAB的基础知识，对初学者很有用。(This book a comprehensive introduction to the basics of MATLAB for beginners useful.)

ask调制解调程序，包括序列的产生，加噪，频谱分析，低通滤波输出，抽样判决等(ask modulation and demodulation process, including the sequence generation, noise, spectrum analysis, low-pass filtered output, sample sentences, etc.)

a code for photo changer

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.)

6sps运动学正解，牛顿法代码的Matlab程序(6sps kinematics, Newto method code in Matlab)

newmark求解线性结构动力反应，非线性不行，可用于有限元(Newmark solving dynamic responses of linear structures)

这是一个用c和matlab编写的程序，用于实现k-means算法(This is a matlab with c and the preparation of the procedures used to implement k-means algorithm)