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盲信号分离是当前信号处理研究的热点课题之一，在无线数据通信、医学、语音以及地震信号处理等领域有着广阔的应用前景。基于负熵最大的FastICA算法用于实现盲信号分离。该方法的基本思路是以非高斯信号为研究对象，在独立性假设的前提下，对多路观测信号进行盲源分离。在满足一定的条件下，能够从多路观测信号中，较好地分离出隐含的独立源信号。(Blind signal separation is the study of signal processing, one of the hot topics in wireless data communications, medical, speech and seismic signal processing and other fields have broad application prospects. Negentropy based on the largest FastICA Algorithm for Blind Signal Separation realize. The basic idea is based on non-Gaussian signal as the research object, in the independence assumptions on the multi-channel observation signal blind source separation. In meeting certain conditions, be able to multi-channel observation signal, the better to isolate the independent source signal implied.)

复杂网络中基本网络模型的matlab实现(The complex network basic network model matlab)

此编程实现基于扩展卡尔曼滤波(EKF)方法的动力电池SOC估计，并输出波形(This programming implements the battery SOC estimation based on the Extended Kalman Filter (EKF) method and outputs the waveform)

sar图像去噪的几种新的方法，数学方法是部分子空间法，分数阶傅里叶变换计算方面。( Several new methods sar image denoising, Mathematics is part of the subspace, Fractional Fourier transform computing.)

ipiq法的谐波检测，谐波源是三相全桥整流电路(ipiq method of harmonic detection, harmonic source is a three-phase full-bridge rectifier circuit)

Imperialistic Competitive Algorithm (ICA) Version 1.9 - May 2010

view 3d features displayed in color

Daubechies, db1 小波分解与重构(Daubechies, db1 wavelet decomposition and reconstruction)

基于matlab用脉冲响应不变法和双线性变换法实现iir数字滤波器的设计(A design of two ways to realise iir digital filter)

图像协同显著性检测，用于寻找突出目标，以便于进一步分割或者检索等。(cosaliency detection for image to search for salient object in order to segment or retrieve images.)