SuoFang

程序代码matlab关于排队理论系统的，大家指教一下。(Matlab program code on queuing theory system, we know it.)

说明：  能够实现在导出CST方向图的情况下在MATLAB里面作阵列综合(Can achieve in the export of CST direction map in the case of MATLAB for array synthesis)

数字PID的matlab仿真程序，针对刘金琨的先进PID控制的matlab仿真，里面的部分程序进行了修改 第七章(Digital PID of matlab simulation program for Liu Jinkun matlab advanced PID control simulation, which were modified some procedures of Chapter VII)

朴素贝叶斯文本分类的算法实现，将文本转化为矩阵结构然后对矩阵做运算(Naive Bayes text classification algorithm, the text is converted to a matrix structure and then do the calculation matrix)

Active Contours model(snake)

基于FFT的超分辨率算法,该算法使用原始数据的梯度信息,不用加入先验的约束(Super-resolution based on FFT)

用matlab设计IIR和FIR滤波器，包换各种窗体函数(Matlab design IIR and FIR filters, replacement form function)

【谷速软件】黑白图像增强 在学习过程中作为参考使用([Valley] black and white image enhancement software speed the learning process as a reference)

降低OFDM性能通过设置门限值，这是个完整的程序拿来就能用的。详细列出了papr的详细算法(inorder to reduce the OFDM papr system perfermance, this code implemented by clipping code. this is efficiency and useful. basic on the matlab langurage.)

实现9/7小波正反变换 注1： 采用标准正交方法，对行列采用不同矩阵（和matlab里不同） 注2： 为了保证正交，所有边界处理，全部采用循环处理 注3： 正交性验证，将单位阵带入函数，输出仍是单位阵（matlab不具有此性质） 注4： 此程序是矩阵实现，所以图像水平分量和垂直分量估计被交换位置 注5： 此程序实现的是类小波（wavelet-like）变换，是介于小波包变换与小波变换之间的变换 注6： 此程序每层变换相对原图像矩阵，产生的矩阵都是正交阵，这和小波包一致 注7： 但小波变换每层产生的矩阵，是相对每个待分解子块的正交矩阵，而不是原图像的正交矩阵 注8： 且小波变换产生的正交矩阵维数，随分解层数2分减少 注9: 提升系数可以在MATLAB7.0以上版本，用liftwave( 9.7 )获取，这里直接给出，考虑兼容性 注10：由于MATLAB数组下标从1开始，所以注意奇偶序列的变化 注11：d为对偶上升，即预测；p为原上升，即更新(Note 1: The standard orthogonal method, the ranks of the different matrices (and matlab where different) Note 2: In order to ensure orthogonality, all boundary treatment, all with recycling Note 3: Orthogonal validation, the identity matrix into the function, the output is still the unit matrix (matlab does not have this property) Note 4: This program is a matrix to achieve, so the image horizontal and vertical components is estimated to be swapped Note 5: This class implements the wavelet (wavelet-like) transformation, is between the wavelet packet transform and wavelet transform between Note 6: This procedure transforms each image relative to the original matrix, the resulting matrix are orthogonal matrix, consistent with this and wavelet packet Note 7: But each generation wavelet transform matrix, is to be broken down for each sub-block relative to the orthogonal matrix, rather than the original image of the orthogonal matrix Note 8: Wavelet transf)