MATLAB6.0_math_toolbox

Blind channel estimation equalization adpative CMA method (Blind channel estimation equalization ad CMA method pative)

相平面分析的matlab程序例子，希望对大家有用(Phase plane analysis matlab program examples, we hope to be useful)

四步相移算法程序，改程序需要手动设置初始图像来源，可以实现对图像相位的求解(Four-step phase shift algorithm program, change the program need to manually set the initial source of the image can be achieved to solve the image phase)

卡尔曼滤波算法和扩展卡尔曼滤波算法在目标跟踪到的应用(Kalman filter and extended Kalman filter algorithm to the application in target tracking)

陆吾生教授短期课程“压缩感知方法及其在稀疏信号和图像处理中的应用”资料，使用的源码，有参考价值(Professor Lu Wusheng Short Course " compressed sensing method and the sparse signal and image processing applications," the source data, the use of a reference value)

research paper for m.tech students for project work

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).

matlab非常有用的工具箱，可对非平稳信号进行分析与处理。(matlab toolbox very useful, may be non-stationary signal analysis and processing.)

说明：  基于Matlab的GA算法，供算法应用学习者参考(GA algorithm based on Matlab for algorithm application learners Reference)

matlab在振动分析中的应用源代码 包括各种信号处理的时域频域方法 强烈推荐 仅供学习交流(matlab in vibration analysis application source code, including various signal processing frequency domain method is strongly recommended for learning exchanges)