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时移与坐标显示范围的不同，以及频域中f的步长不同对频域图的影响。(The times and coordinates of display range of different, and the step frequency domain f different effects on the frequency domain graph.)

说明：  一种基于噪声模板的 uwb 仿真 将训练序列进行叠加(noise )

说明：  国外编写的仿真程序，利用Simulink软件对波音747飞机进行仿真，很有参考价值(The preparation of the simulation program abroad, the use of Simulink software for Boeing 747 aircraft simulation, useful reference)

3D shape reconstruction matlab code. It used shape from defocus technique with divergence. You can reconstruct 3D shape with only two different depth images.

matlab code of ecg in this we can see how we ecg to r-r interval

说明：  通带截止频率 =2 4k rad/s，阻带截止频率 =2 8k rad/s，通带波纹系数 =0.3dB, 阻带波纹系数 =50dB,采样频率fs=20000Hz。(The digital filter are the digital signal processing important content, the digital filter may divide into IIR and the FIR two main kinds. As for the IIR digital filter design, we need the help of analog prototype filter, and then transform analog filter into digital filter.)

用matlab写的遗传算法分割程序，用的是Sheffield大学gatbs工具箱 能够运行得到真确结果！ (using Matlab write the genetic algorithm to separate procedures, the University of Sheffield gatbs Toolbox can be true operating results!)

Two-dimensional Discrete Wavelet Transforms (Two-dimensional Discrete Wavelet Transf orms)

将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序(Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals based on randomized dimensionality reduction. To recover a signal from its compressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis or frame that agrees with the measurements. A great many applications feature smooth or modulated signals that are frequency sparse and can be modeled as a superposition of a small number of sinusoids. Unfortunately, such signals are only sparse in the discrete Fourier transform (DFT) domain when the sinusoid frequencies live precisely at the center of the DFT bins. When this is not the case, CS recovery performance degrades significantly. In this paper, we introduce a suite of spectral CS (SCS) recovery algorithms for arbitrary frequency sparse signals. The key ingredients are an over-sampled DFT frame, a signal model that inhibits closely spaced sinusoids, and classical sinusoid parameter e)

基于灰度膨胀的matlab指纹分割程序，效果不错。来自cubs (a good fingerprint segmenting programme,form cubs)