MATLAB2

基于Hessian能量的半监督回归，并将其应用于半监督维数约简。(This is code for the semi-supervised regression using Hessian energy. Kwang In Kim, Florian Steinke and Matthias Hein, "Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction" NIPS 2009)

The archive contains the solution to the lab09 problem form "Digital Processing First" of McClellan. It treats the digital signal recognition problem via spectrum comparison. All m-files necessary to solve the problem are provided and enriched by comprehensive comments in the code. Cheers

用凯瑟窗设计一个数字带通滤波器，设计指标为 低阻带：ws1=0.2pi,as=70dB, 低通带：wp1=0.35pi,ap=1dB, 高通带：wp2=0.65pi,ap=1dB, 高阻带：ws2=0.8pi,as=60dB(Kaiser window design with a digital band-pass filter design specifications for the Low resistivity zone: ws1 = 0.2pi, as = 70dB, Low-pass band: wp1 = 0.35pi, ap = 1dB, High-pass band: wp2 = 0.65pi, ap = 1dB, Impedance with: ws2 = 0.8pi, as = 60dB )

NONLINEAR LOAD DEMONSTRATION FOR LABORATORY TYPE RECTIFIER

经过新息准则处理过的核自适应滤波算法KLMS.该算法可以降低klms的网络增长问题。(After the new interest guidelines processed nuclear adaptive filtering algorithm KLMS. Klms this algorithm can reduce the problem of network growth.)

cmake 工具 可视化图形的 cmake 工具(for linux)

说明：  CA算法可以将数量型属性划分成若干个优化的区间，它综合了分层聚类于划分聚类的优点，对于给定的不同的初始类个数，CA算法能随着迭代过程的不断进展改变类的数目，一些竞争力差的类即类的基数小于给定阙值的类将在迭代过程中不断消失，最终得到能够有效体现数据实际分布情况的优化聚类个数。(CA algorithm for quantitative attributes can be divided into a number of the interval optimization, hierarchical clustering which combines the advantages of clustering in the division, for a given number of different types of initial, CA algorithm as the iterative process the continuous progress of change in the number of categories, some categories of poor competitiveness of the base type that is less than the value of a given category Que iterative process will continue to disappear and eventually be able to effectively reflect the actual distribution of data to optimize the number of clustering.)

柴油机及其他动力振动系统，振动烈度的计算(Diesel engines and other power vibration system, vibration intensity calculation)

The matlab codes provided here implement two algorithms multilinear principal component analysis to run the face recognition using FERET database.

pid controller implementation using matlab