GenerateDate

Nifti image visualization

ms-garch model forcasting

局部均值分解是由Smith提出的一种新的非线性和非平稳信号分析方法。由于LMD是依据信号本身的信息进行自适应分解的，产生的PF分量具有真实的物理意义，由此得到的时频分布能够清晰准确地反映出信号能量在空间各尺度上的分布规律。(Local mean decomposition is a new nonlinear and non-stationary signal analysis method proposed by the Smith. Since LMD information is based adaptive signal itself decomposed, resulting PF component has real physical meaning, when the resultant frequency distribution of the signal can be clearly and accurately reflect the spatial distribution of the energy of each scale.)

课程设计，关于数字信号处理的课程设计，中南大学的(Curriculum design, course on the design of digital signal processing, Central South University)

julian to gregorian calendar convertor//// Very Accurate/// No Bug

学习多孔介质的好算法。可以放心参考运用,可以运行的(Porous media is a good learning algorithms. You can rest assured reference use, you can run)

EMD的matlab例程，用于振动、医疗、工业等领域中的信号处理(EMD Matlab routines for vibration, health, industry and other fields of signal processing)

说明：  fm调制程序，自己手写，效果较好，易于实现，速度较快(fm modulation procedures, their own handwriting, better, easy to implement, faster)

解决了带有time index高斯混合模型的状态估计问题(An estimation technique for Time Indexed Gaussian Mixture Models)

在matlab上的Asift程序，在原有基础上有所改进，程序可以出色地实现图像的识别，匹配，效果相比SIFT，SURF等有大幅提高(In matlab Asift program improvements based on the original, the program can achieve excellent image recognition, matching, compared to the effect of SIFT, SURF, etc. have greatly improved)