svdtls11

自己做设计用的参数提取程序，主要是LPCC和MFCC。(Designs its own program with the parameter extraction, mainly LPCC and MFCC.)

2011年数学建模比赛b题的建模资料，有MATLAB程序和各种数据表格(2011 Mathematical Contest in Modeling b topic modeling data with MATLAB programs and various data tables)

双层规划的MATLAB代码，求解双层规划可以尝试采用(bi level programming)

个人项目，旅馆的查询设置例子。不要重复上码或其他好源可用下载数就会(Personal items, check the hotel setting an example. Do not repeat a good source code or other downloads will be available)

用差分方法计算带时变系数的波动方程,界面可视。(simulate the wave functions with time-varying coefficients)

使用起来非常方便，LCMV优化设计阵列处理信号，主要是基于mtlab的程序，使用大量的有限元法求解偏微分方程，搭建OFDM通信系统的框架，部分实现了追踪测速迭代松弛算法，利用贝叶斯原理估计混合logit模型的参数。( Very convenient to use, LCMV optimization design array signal processing, Mainly based on the mtlab procedures, Using a large number of finite element method to solve partial differential equations, Build a framework OFDM communication system, Partially achieved tracking speed iterative relaxation algorithm, Bayesian parameter estimation principle mixed logit model.)

西储大学轴承数据，故障特征频率明显，与理论值基本符合。(The bearing data of Xichuan University have obvious fault characteristic frequency, which is basically in accordance with the theoretical value.)

可用于连续潮流计算静态电压稳定，最优潮流计算。(Continuous flow calculation can be used to static voltage stability, optimal power flow calculation.)

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).

端正学习matlab的态度，教你怎么学习matlab (Matlab learning correct attitude to teach you how to learn matlab)