psobp1

自适应滤波变步长Lms归一化算法的仿真实现程序(simulation in lms normolized algorithm)

本代码的功能是使用BP神经网络对蝴蝶花进行分类(The functionality of the code is to use the BP neural network to classify the butterfly flower)

在删除信道下LDPC码的编译码研究与实现，可供参考(In the Delete Channel Encoding and Decoding of LDPC Codes and implementation, available for reference)

turbo码的编码与译码，交织器 coding and decoding of turbo, interleaver(coding and decoding of turbo, interleaver, almost regular permutation)

自适应滤波 在噪声背景中，通过滤波的方法挑选出有用信号(Adaptive filtering In the background noise, pick out the useful signal by filtering method)

说明：  使用粒子群算法对无线传感器网络进行聚类（PSO）(Particle swarm optimization (PSO) is used to cluster wireless sensor networks)

Simple guide examples

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)

用matlab编写的卡农的乐器，大家可以交流一下(The matlab-written card agricultural instruments, we can exchange)

计算一维时间序列的Renyi熵，可作为脑电信号的特征提取方法，从而对脑电的复杂度进行分析(The Renyi entropy of one dimensional time series can be calculated as a feature extraction method of EEG signal, which can be used to analyze the complexity of EEG.)