LCD12864

用matlab写的BP网络辨识函数，非常有用。(this is a program with matlab)

matlab code for first order LPF

[Signals and Systems]_This algorithm reconstructs a sampled signal and shows the effects of sampling (aliasing sincs)

WeChat jump a high jump, the required information and code, small game.(WeChat gamehigh grades)

QPSK调制与解调，并有误码率的分析，加了 信道噪声。(QPSK modulation and demodulation, and bit error rate analysis, the addition of channel noise.)

wuyufei的turbo程序，做turbo的人一定要看的matlab程序。(wuyufei the turbo procedure, turbo make sure to look at the matlab program.)

cooperative communication theory

describe fft from wav file using 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

Classifier pdf. Its can be used to learn what is classifier, hoe it can be applied to images.