matlab1

混沌小信号分析，混沌背景下的 参数估计，物理学报已发表的文章。(Small-signal analysis of chaos, chaos in the context of parameter estimation, physics reported to have published the article.)

基于方差一致性准则对图像进行四叉树分解！(variance quadtree)

Kmen is very popular algorithm

说明：  Radon变换的matlab工具包，大家可以看看(radon&matlab)

说明：  利用matlab对啁啾取样光栅的光谱的透射谱进行模拟(Chirped sampled grating using matlab on the spectrum of the simulated transmission spectra)

极值学习机的配套教程，上传给大家多学习学习吧。(Extremal supporting learning machine tutorial, upload to everyone to learn from it.)

卡尔曼滤波不错的程序，很实用，大家好好研究一起分享一起进步吧(Kalman filtering good program, very practical, we make good progress in research to share with the Bar)

子空间信道估计算法，用的pastd算法，来进行盲信道估计(Subspace channel estimation algorithm, pastd used algorithm for blind channel estimation)

基于特征向量约束的波束形成算法例程，老外写的，对于多种波束形成算法的阵列增益等参数进行了详细的比较。(An beamforming example using feature vector constrain.)

Advanced correlation filter synthesis algorithms to achieve rotation invariance are described. We use a specified form for the filter as the rotation invariance constraint and derive a general closed-form solution for a multiclass rotation-invariant filter that can recognize a number of different objects. By requiring the filter to minimize the average correlation plane energy, we produce a multiclass rotation invariant (RI) RI-MACE filter, which controls correlation plane sidelobes and improves discrimination against false targets. To improve noise performance, we require the filter to minimize a weighted sum of correlation plane signal and noise energy. Initial test results of all filters are provided