panel_28_08_2010_02

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

hapke模型是土壤反射模型，辐射传导模型，1981年建立，现在已有很大发展(Hapke model is a soil reflectance model,RTM, established in 1981)

GUI building document

This is simple simulation of qpsk of ber.

butterworth滤波器的matlab设计，通带截止频率0.3pi，阻带截止频率0.2pi(matlab butterworth filter design, the passband cutoff frequency 0.3pi, stopband cutoff frequency 0.2pi)

matlab实验教程，用于初学者学习matlab相关知识。(Experimental matlab tutorial for beginners to learn matlab relevant knowledge.)

gnss跟踪算法仿真，使用matlab编译，文件类型为.m(Tracking algorithm simulation)

此程序主要是解决忙信号的线性分离的，将混合的未知信号尽可能的恢复出来，使之能够辨别。(The procedure is to solve the linear separation of busy signals, the mixed signals as far as possible the recovery of the unknown out, so that it can identify.)

基于matlab的爬山法光伏并网逆变器最大功率跟踪模型(Matlab-based mountain climbing photovoltaic maximum power tracking inverter model)

C++中使用fftw库，根据correlation filters的相关知识编写实现，可以是实现图片的相关滤波的功能，在一副图片中找到对应patch在图片中的位置，从而进行detection和tracking的相关改进(C++ fftw library use, according to the knowledge of the preparation to achieve correlation filters, which can be filtered so as to achieve a picture related to the correlation detection and tracking of improvements)