wt_interp

用hht实现对电力系统中电压sag 和swell 的分解辨识。 宽展了hht电力系统稳定上的应用 (using HHT to analysis power systerm disturbance-sag and swell)

single Point positioning

pathgenerator source, filtering for matlab

说明：  有限元例子，适用于自适应网格算法，这只是一部分，还有后传！(finite element)

地震数据格式之间的转换，sac，miniseed，seed，这些数据格式进行转换(Seismic data conversion between formats, sac, miniseed, seed, the data format conversion)

用于振动控制系统的动力学仿真，解决结构力学中的主要矛盾。(Used for vibration control system dynamics simulation to solve the main contradiction in the structural mechanics.)

考虑时间与温度等因素，对电力系统进行的负荷预测(Consider factors such as time and temperature, predicting the load of power system.)

Speech Recognition with TDNN(Time delay neural network)

贝叶斯分类器的设计实验，内有解释利于入门学习(Bayesian classifier design experiments, which help to explain the study entry)

在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR： 得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形； (2)得出真实功率谱密度 . (3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。 (On the computer to generate a set of experimental data, first generate a zero mean white noise data u (n), so that power, let u (n) through a third-order FIR: get y (n).. Y (n) added three real sinusoidal signal f1 ' = 0.1, f2' = 0.25, f3 ' = 0.26 and sine signal amplitude adjustment signal to noise ratio is approximately 10dB, 50dB, 50dB. (1) that N = 256, depicted xn waveform (2) the true power spectral density obtained. (3) using this experimental data, Pisarenko harmonic decomposition method to estimate the experimental data of the sinusoidal frequency and amplitude.)