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用MATLAB作切比雪夫-1型低通滤波器设计(Using MATLAB for-1 Chebyshev-type low-pass filter design)

说明：  倒立摆 Lqr控制，，有matlab仿真文件(Lqr inverted pendulum control, with matlab simulation file)

ica的算法，独立成分分析，剔除噪声，数据处理(ica algorithm, independent component analysis, eliminate noise, data processing)

8PSK 调制，AWGN信道下的信道容量的matlab 仿真程序。(8PSK modulation, channel capacity under AWGN channel matlab simulation program.)

MATLAB M文件调用SIMULINK完成LDPC误码率仿真(MATLAB M SIMULINK LDPC BER SIMULATION)

A pretty good equalization matlab code

若系统中有信息不完全或不确知的现象，则称为系统的灰色性。这种具有灰色性的系统，称为灰色系统。(If the system has incomplete information or not sure, then known as the system of the gray. This kind of gray system, known as the Gray system.)

runge kutta方法求解常微分方程(the Runge–Kutta methods (German pronunciation: are an important family of implicit and explicit iterative methods for the approximation of solutions of ordinary differential equations. These techniques were developed around 1900 by the German mathematicians C. Runge and M.W. Kutta.)

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.

针对IEEE模型的潮流计算(4节点、14节点、30节点、1047节点(Against the tide of the IEEE model calculation (4 nodes nodes, 14 nodes, 30, 1047 )