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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.)

反射波正演模拟 matlab小程序 欢迎下载交流(Reflected wave forward modeling matlab applets are welcome to download the exchange)

《matlab信号处理宝典》，很好的matlab学习书籍(" Matlab signal processing book" , a very good learning books matlab)

说明：  各种常见的窗函数，以及这些窗函数的时域波形和频域波形。(A variety of common window function, and their time-domain window function waveform and frequency domain waveforms.)

阵列麦克风中的music算法，用matlab仿真的(Music algorithm in array microphone, matlab simulation)

2-D–3-D Frequency Registration Using a Low-Dose Radiographic System for Knee Motion Estimation

利用雷达方程，分析在相干积累和非相干积累脉冲数两种情况下SNR增益与积累脉冲数的关系，得出相应的结论图像。(Using the radar equation to analyze the relationship between the SNR gain in the case of coherent integration and non-coherent accumulated pulse number two with the accumulation of the number of pulses, the corresponding conclusions images.)

Estimated number of Pi ( Method 1) how do we estimate Pi by simulation? In the simulation, you keep throwing darts at random onto the dartboard. All of the darts fall within the square, but not all of them fall within the circle. Here s the key. If you throw darts completely at random, this experiment estimate the ratio of the area of the circle to the area of the square, by counting the number of darts in each. Our study of the geometry tells us this ratio is Pi/4. So, now we can estimate Pi as

采用热核构造权重，小波包分析提取振动信号中的特征频率，利用自然梯度算法。( Thermonuclear using weighting factors Wavelet packet analysis to extract vibration signal characteristic frequency, Use of natural gradient algorithm.)

结合gui和simulink的编程，能在gui中实时显示simulink模型中的数据。(combines gui and simulink, making the data of simulink model can display on the gui in real-time.)