weinalvbo

ejercicios de vision artificial

Random Tour for TSP with Node Insertion MATLAB

its a zero forcing error calculation matlab code

The program about sliding mode control: chap1_1ctrl.m chap1_1plant.m chap1_1plot.m chap1_1sim.m ....

采用了小波去噪的思想，包括四元数的各种计算,包括调制，解调，信噪比计算。( Using wavelet denoising thought, Including quaternion various calculations, Includes the modulation, demodulation, signal to noise ratio calculation.)

TSP问题（货郎担问题，旅行商问题）的模拟退火算法通用malab源程序 f目标最优值,T最优路线,d距离矩阵,t0初始温度,tf结束温度

基于MATLAB的fir滤波器图形用户界面（GUI）(Fir filter based on MATLAB Graphical User Interface (GUI))

不错的动画效果的demo，真诚希望对大家有帮助，也希望大家来点人气，谢谢。(A good animation demo, sincerely hope to have the help to everybody, also hope to some popularity, thank you.)

An important aspect of an ANN model is whether it needs guidance in learning or not. Based on the way they learn, all artificial neural networks can be divided into two learning categories - supervised and unsupervised. • In supervised learning, a desired output result for each input vector is required when the network is trained. An ANN of the supervised learning type, such as the multi-layer perceptron, uses the target result to guide the formation of the neural parameters. It is thus possible to make the neural network learn the behavior of the process under study. • In unsupervised learning, the training of the network is entirely data-driven and no target results for the input data vectors are provided. An ANN of the unsupervised learning type, such as the self-organizing map, can be used for clustering the input data and find features inherent to the problem.

Wavelet Subband coding for speaker recognition The fn will calculated subband energes as given in the att tech paper of ruhi sarikaya and others. the fn also calculates the DCT part. using this fn and other algo for pattern classification(VQ,GMM) speaker identification could be achived. the progress in extraction is also indicated by progress bar.(Wavelet Subband coding for speaker recognitionThe fn will calculated subband energes as given in the att tech paper of ruhi sarikaya and others. The fn also calculates the DCT part. Using this fn and other algo for pattern classification (VQ, GMM) speaker identification could be achived. the progress in extraction is also indicated by progress bar.)