PV-MODELE6

PCA在数据挖掘中的应用 matlab实现(apply PCA into datamining using matlab)

simple function to test watermarking

Optimal point for brain function

Multiple kernel learning is a model to merge multiple kernels by linear combination. Mostly solving the models are slow due to explicit computation of kernels. Here, we propose to approximate kernel map function explicitly in finite dimensional space. Then, we use dual coordinate descent to solve the SVM. By storing the solutions in primal, we do not have to compute the kernel explicitly. A group lasso regularization on kernel weights is solved with SVM alternatingly. This is a side-project in my research projects with Dr. Yi-Ren Yeh and Dr. Frank Wang in Academia Sinica.

解决一些电脑的，主板，显卡。等故障，可以帮助了解电脑 (good way)

是用matlabK联合FPGA一起实现波形仿真，不同于大家常见的别的方法。是平行于SILK技术的一种技术(DDS MATLAB 仿真)

reglement_concours_Tss2015 -

三种自适应波束形成算法 1、基于CSM自适应波束形成算法 2、LCMV 波束形成的MATLAB仿真程序 3、LMS波束形成的MATLAB仿真程序 (beamforing algorithm)

说明：  802.16a协议物理层的matlab实现(802.16a physical layer to achieve the Matlab)

说明：  基于非负矩阵分解的语音分离方法，matlab实现(NMF-based speech separation method, matlab implementation)