Solutions_4

Important of Hopfild Neural network

对雷达杂波分布为weibull功率谱为高斯谱的杂波模型进行仿真.(pair of radar clutter Weibull distribution of the power spectrum of the clutter spectrum Gaussian model simulation.)

模型预测控制(mpc.slx)

基于标准的粒子群算法编写了一个简单通用的matlab程序(matlab code of standard particle swarm optimization)

现代信号处理中RLS算法的程序，非常实用，可清晰的看出该算法与其他算法的差异.(Modern Signal Processing RLS algorithm procedures, very practical, you can clearly see the difference between this algorithm and other algorithms.)

小波包分析提取振动信号中的特征频率，阐述了负荷预测的应用研究,matlab编写的元胞自动机。( Wavelet packet analysis to extract vibration signal characteristic frequency, It describes the application of load forecasting, matlab prepared cellular automata.)

fuzzy matlab code.fuzzy matlab code.fuzzy matlab code.fuzzy matlab code

Perform rotation, translation and scaling on any image using MATLAB. The function has five inputs. These include at the first place the image which is to be rotated, translated and scaled. The second includes the scale factor. Scale factor less than 1 results in compression whereas that more than 1 results expansion. The value in this field cannot be 0.The third includes rotation which can have values like 0,10 30,etc. The fourth is x translation value and the fifth being the y translation value. The output images will be a combination of all the inputs provided.

本程序用于完成BPSK、QPSK、8PSK的调制仿真。并可任意扩展到MPSK和MQAM。程序分成三个部分：phase.m对基带码元序列进行脉冲成型，可选矩形脉冲，升余弦脉冲和平方根升余弦脉冲； model.m 为主程序，完成各种信号的基带星座图映射、脉冲成型和调制； command.m给出一个简单的频谱显示测试。(This procedure for the completion of BPSK, QPSK, 8PSK modulation simulation. Arbitrary and may be extended to MPSK and MQAM. Program is divided into three parts: phase.m symbol of the baseband shaping pulse sequences, optional rectangular pulse, the square root raised cosine pulse and raised cosine pulse model.m-based procedures, completed a variety of base-band signal constellation mapping , pulse shaping and modulation command.m given spectrum shows a simple test.)

一个比例和方向自适应均值漂移跟踪算法（SOAMST） 提出本文所要解决的问题，如何估计的规模和方向 改变均值漂移下的目标跟踪框架。在原来的均值偏移 跟踪算法，可以很好地估计目标的位置，规模的同时， 方向的变化，不能自适应估计。考虑到图像（重量） 是来自于目标运动模型和候选模型可以代表的可能性，一个 像素属于目标，我们证明了原来的均值漂移跟踪算法可以 推导出的重量图像的零阶和一阶矩。随着零阶 矩和目标模型和候选模型之间的Bhattacharyya系数， 提出了简单而有效的方法来估计的规模为目标。然后一种方法， 利用估计的区域和第二阶中心矩，提出 自适应地估计目标的宽度，高度和方向的变化。广泛 实验来证实所提出的方法，并验证其可靠性 规模和方向变化的目标。(A scale and orientation adaptive mean shift tracking (SOAMST) algorithm is proposed in this paper to address the problem of how to estimate the scale and orientation changes of the target under the mean shift tracking framework. In the original mean shift tracking algorithm, the position of the target can be well estimated, while the scale and orientation changes can not be adaptively estimated. Considering that the weight image derived from the target model and the candidate model can represent the possibility that a pixel belongs to the target, we show that the original mean shift tracking algorithm can be derived using the zeroth and the first order moments of the weight image. With the zeroth order moment and the Bhattacharyya coefficient between the target model and candidate model, a simple and effective method is proposed to estimate the scale of target. Then an approach, which utilizes the estimated area and the second order center moment, is proposed to adaptively e)