classifbayes

matlab模型与仿真教程，适合初学者和科研工作者学习(Matlab model and simulation tutorials, is suitable for beginners and research workers learning)

matlab中粗糙集属性约简的决策树分类的方法以及如何建立和使用决策树代码(decision tree)

粒子滤波器是基于序贯Monte Carlo仿真方法的非线性滤波算法,可以解决所以线性，非线性问题。(Particle Filter is based on sequential Monte Carlo simulation method of nonlinear filtering algorithms, can be solved so linear, nonlinear problems.)

matlab从入门到精通，本书主要介绍matlab的基础知识和提高的内容(matlab from entry to the master, this book introduces the basics of matlab and improve the content of)

这本 stevenkay 关于谱估计 信号检测 部分的英文书。 要想搞透信号估计，检测，，还是要看看这个的。 这个领域工作的人，若需要讨论，也可以找我。 毕竟能够和你讨论的人，非常少。希望我能帮上一点点。(This stevenkay spectrum estimation signal detection on the part of the English books. To estimate things through signals, detection, or to see that' s. People who work in this area, if necessary to discuss, you can find me. After all, who can discuss with you, very small. Hope I can be a little bit.)

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).

说明：  GA算法，内有连续转离散的函数，还有simulink例程(GA,included continuous to discrete function and a simulink example)

课程作业：中心极限定理的仿真~希望有所帮助(The simulation of the central limit theorem)

正交频分复用的16QAM的详细发送程序，值得收藏(Orthogonal Frequency Division Multiplexing 16QAM sending )

Bit-plane slicing Instead of highlighting gray level images, highlighting the contribution made to total image appearance by specific bits might be desired. Suppose that each pixel in an image is represented by 8 bits. Imagine the image is composed of 8, 1-bit planes ranging from bit plane1-0 (LSB)to bit plane 7 (MSB).