ARIMA

The following Matlab scripts are used to plot the basic torque slip curves with changing input voltage, and input frequency.

该程序可以实现网络拓扑图自动生成·是进行网络仿真拓扑图生成不可缺少的一部分，根据matlab下的程序修改过来，可以在VC环境下运行(The program can achieve network topology automatic generation is topological of network simulation is an indispensable part of, according to the procedure under Matlab modified, can run in VC environment)

根据伪随机序列理论，由混合同余法产生均匀分布的随机数，进而根据中心极限定理来产生高斯噪声。 分析所产生的均匀分布和高斯分布随机信号的均值、方差、自相关等数字特征，估计其概率密度函数并进行分析，估计其功率谱密度并进行分析。说明该高斯噪声是否符合白噪声特性。 对该高斯噪声进行FIR低通滤波，估计输出低通型限带白噪声的功率谱、相关时间等，并结合白噪声通过线性系统相关理论来进行分析。 (According to the theory of pseudo-random sequence, a uniformly distributed random numbers by mixed congruential method to generate Gaussian noise, and then according to the central limit theorem. Produce a uniform distribution of the analysis and the mean of the Gaussian distribution random signals, variance, since the digital characteristics of the correlation, the probability density function is estimated and analyzed, it is estimated that its power spectral density, and analyzed. The Gaussian noise is in line with the characteristics of white noise. FIR low pass filter of the Gaussian noise, the estimated output of low-pass type band-limited white noise power spectrum, time, etc., combined with the white noise to be analyzed by linear system theory.)

Visual C++与Matlab混合编程实现语音识别(Visual C++ and Matlab programming hybrid speech recognition)

非平稳信号的瞬时频率、群延时、信号生成方法(Sub-stationary signal the instantaneous frequency, group delay, Signal Generation)

使用案例讲述了MATLAB的参数估计与假设，有源代码(Parameters estimation and hypothesis testing )

图像重采样程序，可以实现图像任意大小的尺寸调整，采用分片重采样方法(Image resampling process, image of any size can be adjusted, subdivision resampling methods )

subsea CONTROLLER DESIGN

说明：  二极管整流三电平 PWM SiC 逆变中频炉仿真模型，仿真分析其谐波电流。(The simulation model of diode rectified three-level PWM SiC inverter intermediate frequency furnace is used to simulate and analyze its harmonic current.)

Use DCT-LMS algorithm with recursions on C to estimate optimum weight vectors for linear estimation.