BP_decodenewc

sparse Bayesain learning algorithms

matlab用追赶法，列主高斯消元法求解方程组(matlab with the pursuit method, the column main Gaussian elimination method for solving equations)

信号处理,进行信号检测与处理，通过设定threshold来进行信号检测的可信度调整(Credibility adjustment signal processing, signal detection and processing, by setting threshold for signal detection)

毕业设计中，用Matlab实现了机器人最优路径规划中的全局路径规划，算法采用的是基于方向权的 RPIjWY 二叉树算法，同时结合了哈夫曼编码二叉树的 JCCUmxQ综合。(Graduation design, using Matlab to achieve the optimal path planning of robot global path planning algorithm uses a binary tree algorithm based on the direction of the right RPIjWY , combined with the binary tree Huffman coding JCCUmxQ comprehensive.)

信号的频谱分析函数，输入复信号，fft的长度和Fs，可以直接输出信号频谱图。(Signal spectrum analysis function, the input complex signal, fft length and Fs, can be directly output signal spectrum.)

matlab对一次非线性曲线的拟合，并包含了线性参数。(matlab on time nonlinear curve fitting and contains a linear parameters.)

小波变换程序，包括水平细节系数、垂直细节系数、近似细节系数、对角细节系数的显示(Wavelet transform procedures, including display horizontal detail coefficient, vertical detail coefficients and detail coefficients, the approximate diagonal detail coefficients)

实现QPSK调制方式 通信matlab仿真中发送端的四相载波调制 (QPSK modulation to achieve communication matlab simulation in the sender' s four-phase modulation)

Allows seismic data retrieval from varied sources and simplified creation of sophisticated programs

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)