ANSYS)

iis is a code for sinosoidal pulsewidth modulation

最小熵解卷积（MED），是一种自适应滤波器设计方法，可以提取冲击成分(Minimum entropy deconvolution (MED), is an adaptive filter design method that can extract the impact of component)

计算光机耦合仿真中的光学镜面的变形情况，分离刚体位移，采用泽尼克多项式耦合。并有使用例子。(The deformation of the optical mirror in the opto mechanical coupling simulation is calculated. The displacement of rigid body is separated and the Zernike polynomials are coupled. And use examples.)

You can disable this diagnostic by setting Automatic solver parameter selection diagnostic to none in the Diagnostics page of the configuration parameters dialog. Warning: Square root of a negative number in afcabs/SMC2/Hydraulic Actuator1/Fcn2 . Warning: Division by zero in afcabs/Fa1 . Warning: Division by zero in afcabs/ABS/ w slip/Fa3 . Warning: Input to lookup table in afcabs/ABS/mu-slip friction curve is NaN.

使用matlab产生混沌时间序列的源代码(use Matlab chaotic time series generated source code)

matlab教程，通过自己学课掌握主要的工能，希望对自学这有帮助(matlab tutorials, lessons learned through their own work to master the main hope for this self-help)

该压缩文件是OFDM的仿真MATLAB程序，包含调制解调和性能分析，希望有帮助。(The compressed file is a MATLAB simulation of the OFDM process, including modem and performance analysis, would like to have help.)

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)

ViewPager实现页面切换来制作导航页面(ViewPager realize switch the page to make navigation page)

iris recognition using matlab p-file