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空时自适应处理杂波建模的文章。分析非常详细，具有参考价值。(The space-time adaptive processing clutter modeling article. Very detailed analysis, has reference value. )

high pass windowed sync filter / plot/develop input output filter response

变压器故障诊断+小电流接地分析论文，很多重要的算法。(transformer faulty analysis and small current grounding system)

1．用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图(1. Produce sine wave, square wave, and the white noise signal with Matlab, and their time-domain waveform display 2. FFT transform, display each spectrum, where the sampling rate, frequency, length optional data 3. RMS to make maps of the three signals, power spectrum, as well as the number of RMS map 4. Restored by inverse Fourier transform IFFT signal and displays the time domain waveforms sinusoidal signal recovery)

图像处理中关于计算一幅图像滤波前或滤波后峰值信噪比的Matlab代码(the matlab code for computing PSNR)

Watermarking algorithms built using matlab

Matlab有限元 源代码 MatlabFEM(MatlabFEM)

MATLAB实现单神经元PID控制，在智能控制算法中，运行结果较好。(MATLAB single-neuron PID control, intelligent control algorithm, the results better.)

最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數，以類比所需理想濾波器的自適應濾波器，其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正，是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。(The minimum mean square filter is an adaptive filter that can correct the filter coefficients by minimizing the mean square value of the error signal to analogize the desired ideal filter. The error signal used as the correction reference is the ideal reference signal and the actual output. The difference between the signals. The minimum averaging method used in this kind of filter is only corrected based on the current signal error value, which is a stochastic gradient descent method. The minimum mean method was proposed in 1960 by Professor Bernard Widrow of Stanford University and his first PhD student, Marcian Hoff. The least mean square filter is one of the common types of adaptive filters.)

说明：  卡尔曼滤波器示例程序 参考文献: [1]. 邓正隆. 惯导技术, 哈尔滨工业大学出版社.2006.(kalman filter example)