SOR2

We present in this paper a new method for blind source separation which is adapted to the case where the sources have different morphologies. We show that the morphology diversity concept leads to a new and very efficient method, even in the presence of noise.

维纳滤波器的应用，从加噪信号中提取原始信号，求权系数收敛情况。(Wiener filter applied, to extract the signal with noise from the original signal, to seek power factor of convergence.)

在不同信噪比条件下观察切比雪夫加权时的波束主瓣(beamforming )

SVM source code.....................

Bayesian Multi Layer Perceptron Neural Network

无刷永磁直流电动机模型，可用于飞轮储能。基于matlab的simulink建立。(Brushless permanent magnet DC motor model can be used for flywheel energy storage. Established based on the matlab simulink.)

MIMO with matlab sorce code

低频信号先进行放大，再调制解调，设计发射(Low-frequency signal is first amplified, and then modulation and demodulation, the transmitter )

模糊免疫 PID 控制算法,在模糊控制的基础上，增加了免疫因子，能获得更好的控制效果(Fuzzy immune PID control algorithm, in the basis of fuzzy control, an increase of immune factors that can effect a better control)

EZW (Embedded Zerotrees of Wavelet Transforms) is a lossy image compression algorithm. At low bit rates (i.e. high compression ratios) most of the coefficients produced by a subband transform (such as the wavelet transform) will be zero, or very close to zero. This occurs because "real world" images tend to contain mostly low frequency information (highly correlated). However where high frequency information does occur (such as edges in the image) this is particularly important in terms of human perception of the image quality, and thus must be represented accurately in any high quality coding scheme.