JA_extraction

很好的DTW源代码，层次分明，注释详尽，很容易看懂，直接运行主程序main_speech_alignment_DTW.m 即可通过图观察DTW处理前后的波形。(DTW good source code, structured, detailed notes, it is easy to understand, can be run directly by the main program main_speech_alignment_DTW.m Figure waveform observed before and after DTW.)

Jave programing is there in anna univeristy syllabus please all go throught hat

说明：  小波信号去噪例子,默认阈值去噪，强制去噪和软阈值去噪三种方法(wavelate-wavedec)

说明：  该程序用遗传算法对人工神经网络进行优化，预测sars的变化趋势(the process of using genetic algorithms for artificial neural network optimization, forecasting the trend EX/108)

说明：  遗传算法的matlab实现程序 多个实例与多种计算方法(genetic algorithm to achieve Matlab procedures with multiple instances of multiple calculation method)

基于bayes准则和fisher准则的线性分类器。bayes是对细胞的判别分类 分为最小错误率和最小风险两种；fisher是对两类进行判别(Bayes guidelines and criteria based on fisher linear classifier. bayes classification is divided into cells, determine the minimum error rate and minimal risk of two kinds fisher is to discriminate two types of)

Minimization of Region-Scalable Fitting Energy for Image Segmentation

This the free version of my Basis of AI Backprop designed to accompany my not yet published textbook, _The Basis of AI_. This program contains enough features for students in an ordinary AI or Neural Networking course. It includes the quickprop and delta-bar-delta algorithms for faster training and a fast integer version for machines without floating point hardware. This particular package includes C source for DOS and UNIX, examples, an ASCII manual and a number of DOS binaries. The binaries are for systems with floating point hardware (bp.exe), one for systems without floating point hardware (bp486sx.exe) and an integer version binary (ibp486sx.exe) for systems without floating point hardware.

knife edge diffraction

用于估计谐振状态问题，比较Schmidt卡尔曼和标准卡尔曼滤波(Compares Schmidt-Kalman filter vs Kalman filter on problem of estimating the state of a damped harmonic resonator excited by white noise, and using measurements of resonator dispalcement corrupted by white noise plus exponentially correlated noise.)