BARLISAN_GROUP2_ACT1

matlab里的经典算法，插值于拟合，含详细实现过程(matlab)

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

小波消噪算法我用的小波消噪算法我用的小波消噪算法我用的(Wavelet denoising method I use)

是关于混合粒子群的一个程序，解决旅行商问题的。简单易懂。(PSO TSP)

椭圆带通IIR数字滤波器的MATLAB程序及仿真图(Elliptic band-pass IIR digital filter of the MATLAB simulation procedures and plans)

it for antenna code with matlab that is good for all person

OFDM的代码和模型，关于QAM和QPSK调制，两个都有哦，适合初学者学习(OFDM code and model, on QAM and QPSK modulation, two have, oh, suitable for beginners to learn)

说明：  随即系统的声音处理中，产生高斯噪音均匀噪声(GENERATING GAUSSIAN NOISE FROM UNIFORM NOISE)

For speckle reduction .

visual servoing of mobile robot