pul_wire

说明：  包括细胞边缘检测，癌细胞形态学分析，癌细胞颜色分析三个例程。(Including cell detection, cell morphology analysis, color analysis of cancer three routines.)

this is for block diagonalisation

里面包含了 MATLAB在振动信号处理中的应用 一书中的matlab代码(Which contains the MATLAB in the vibration signal processing matlab code for a book)

峰值滤波用于数据特征处理，可提高算法运算速度和鲁棒性(Peak filter characteristics for data processing, the operation speed can be increased and the robustness of the algorithm)

In this paper, a multimodal image fusion algorithm based on multiresolution transform and particle swarm optimization (PSO) is proposed. Firstly, the source images are decomposed into low-frequency coefficients and high-frequency coefficients by the dual-tree complex wavelet transform (DTCWT). Then, the high-frequency coefficients are fused by the maximum selection fusion rule. The low-frequency coefficients are fused by weighted average method based on regions, and the weights are estimated by the PSO to gain optimal fused images. Finally, the fused image is reconstructed by the inverse DTCWT. The experiments demonstrate that the proposed image fusion method can illustrate better performance than the methods based on the DTCWT, the support value transform (SVT), and the nonsubsampled contourlet transform (NSCT).

稀疏信号的生成及cs模型稀疏阵（fft）和生成阵(PHI)的生成，及波形展示(Sparse signal generation and cs model sparse array (fft) and generate array (PHI) generation, and waveform display)

重要参数的提取，包括单边带、双边带、载波抑制及四倍频,使用混沌与分形分析的例程。( Extract important parameters, Including single sideband, double sideband, suppressed carrier and quadruple, Use Chaos and fractal analysis routines.)

说明：  利用matlab对一个向量进行排序的操作并且进行取中值操作，含有具体的原理和程序(Using matlab to sort a vector operation, and to take the value of operations, with specific principles and procedures)

实现小波3级分解 构建3维跨频带矢量 然后LBG聚类 再重构原图像(Construction of wavelet decomposition to achieve three inter-band 3-D vector and then reconstruct the original image LBG clustering)

卡尔曼滤波，，，由于数据的滤波，，去波峰波谷(Kalman filter, and, as a result of the data filtering, and to the peaks and troughs)