面对一眼detecetion

SERIES CASCADED MULTI-LEVEL SWITCH MODE MOTOR CONTROLLER

该编程为矩阵与数据分析课的编程作业程序，里面包括matlab的三次样条曲线程序，有Jacobi迭代法和Gauss-Seidel迭代法等(The programming and data analysis for the matrix class programming operations program, which includes the cubic spline curve matlab procedures, Jacobi and Gauss-Seidel iterative method iterative method)

A matlab book which writing in Chinese.

数学建模中的一种评价算法--基于topsis熵权评价法和改进的灰色预测模型代码，里面的内容根据自己的情况改。(An evaluation algorithm in mathematical modeling is based on the TOPSIS entropy weight evaluation method and improved grey prediction model code, and the contents are changed according to their own situation.)

根据舰船螺旋桨噪声一书给出的计算空泡噪声的公式，简便计算各种条件下的螺旋桨噪声级的程序(According to the formula for calculating the cavitation noise given in the book "Propeller Noise of Ships", the program for calculating the propeller noise level under various conditions is simple and convenient.)

In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. (In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. )

In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is introduced by using the SVM. The kernel mapping idea is used to derive the non-linear version, Kernel Discriminant via Support Vectors (SVKD). In SVDA, only support vectors are involved to obtain the transformation matrix. Thus, the computational complexity can be greatly reduced for kernel based feature extraction. Experiments carried out on several standard databases show a clear improvement on LDA-based recognition

《MATLAB时频分析技术及其应用》源程序代码.(" MATLAB time-frequency analysis technology and its applications' source code.)

双基（机载）合成孔径雷达测高——比较没技术含量，因为用的方法是斜距差，没用相位差（还没研究出来），所以误差有点大。(Double-base (Airborne) synthetic aperture radar altimeter- not the technical content of comparison, because the methodology used is inclined away from the poor, no phase difference (not finding out), so a bit big error.)

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