num

peak windowing crest factor reduction

neural fault finding relay

daqaxis help for national instruments

利用firpmord和firpm函数设计双带通滤波器，其指标为，第一带通指标：f =4kHz,f =5 kHz ,f =3.6 kHz ,f =5.4 kHz 第二带通指标：f =6kHz,f =7 kHz ,f =5.6 kHz ,f =7.4 kHz 通带衰耗A <3dB，阻带衰耗A >40dB，抽样频率f =20kHz。(Double belt pass filter using firpmord and firpm function design, for its indicators, through the first area index: f = 4 kHz, f = 5 kHz, f = 3.6 kHz, f = 5.4 kHz The second bandpass indicators: f = 6 kHz, f = 7 kHz, f = 5.6 kHz, f = 7.4 kHz Pass band attenuation A < 3 db, stop-band attenuation A > 40 db, f = 20 KHZ sampling frequency.)

Brushless motor control

Low Voltage Ride- through Technolog ies i nW i nd Turbi ne Generat ion

The fusion of high-spectral/low-spatial resolution multispectral and low-spectral/high-spatial resolution panchromatic satellite images is a very useful technique in various applications of remote sensing. Recently, some studies showed that a wavelet-based image fusion method provides high quality spectral content in fused images. However, most wavelet-based methods yield fused results with spatial resolution that is less than that obtained via the Brovey, IHS, and PCA fusion methods. In this paper, we introduce a new method based on a curvelet transform, which represents edges better than wavelets. Since edges play a fundamental role in image representation, one effective means to enhance spatial resolution is to enhance the edges. The curvelet-based image fusion method provides richer information in the spatial and spectral domains simultaneously. We performed Landsat ETM+ image fusion and found that the proposed method provides optimum fusion results.

三电平变流器的SVPWM调制、平衡因子中点电压控制模型，运行效果好。(Three-level converter SVPWM modulation, balance factor midpoint voltage control model, good operating results.)

说明：  一个自适应控制方面的Simulink程序，主要解决无模型自适应（MFA）控制的问题(Adaptive control of a Simulink procedures, mainly to solve the model-free adaptive (MFA) control)

多变量广义预测的控制制算法MATLAB代码 (Multivariable generalized predictive control system algorithm MATLAB code)