matlab计算测量信号的包络线

在matlab中实现模式识别中的一个分类器——fisher分类器(Pattern recognition in matlab to implement a classifier- fisher classifier)

compute active contour model

使用支持向量机进行数据的分类预测，所需样本数据较少，且预测精度高，分类效果较好。(Using support vector machines for data classification prediction, requires less sample data, and predict high precision, classification better.)

QR decomposition based RLS Algorithms using matlab with example

voicebox ,很不错的matlab源程序(voicebox, a very good source matlab)

说明：  里面有8PSK，GMSK的matlab源程序，贡献出来了(I was interested in the theory for 8PSK and came across this m-file written in 1999. It requires 2 function calls (graymapPSK and grayunmapPSK) which I have included and must be uncommented(single comments only) and loaded into your workspace. Remove the function calls from this m-file after you load into your workspace. It seems to work well and give valid results for BPSK and QPSK but I have a question about the setup for 8PSK and the solution for Pseint where Pse=Pseint. Also, the Gray coding seems different than what I m used to. Some of you more theoretical minded may have some insight into the theory behind how Pseint was determined and comment. I don t have the communications toolbox-blockset and was wondering how it compared with Matlab s example simulation of 8PSK with Gray coding (in Simulink?) Each run takes about a minute and the loop iterations are shown in the command window. A numerical example of a satellite link is shown using uncoded QPSK )

In this paper, we propose a new method that use side view video pre-processing with DWT-SVD based water-marking scheme. This processing switch the video references of the frames with dimensions equivalent of the number of frames like width and the same height than the original video. The DWT-SVD watermarking is applied in.

Coding Tutorials for Computational Fluid Dynamics

针对结构转角信息难以测量的问题，采用转角信息重构技术由随机子空间从振动信号中提取的结构平动位移估算结构转动位移，然后构建改进的单元损伤变量(Since it is difficult to measure the rotational responses of a structure, a technique was adopted to evaluate the approximate modal rotations with the modal displacements, which were extracted from structural vibrational signals with stochastic subspace identification, by static condensation and QR decomposition)

说明：  PID控制器的优化问题就是确定一组合适的参数Ki,,Kd,Ka，使得指标达到最优。常用的误差性能指标包括ISE、IAE、ITAE、ISTE等。(The optimization problem of PID controller is to determine a set of suitable parameters Ki, KD, Ka, so as to achieve the optimal index. The commonly used error performance indexes include ise, IAE, ITAE, ISTE, etc.)