untitled

matlab编的4阶龙格库塔法解微分方程的程序(matlab Fourth-order Runge-Kutta method,)

判断两幅图是否一样（包括相似图像的判断和完全不一样的图像判断）(Determine whether the two images the same (including judgments and similar images of a completely different image to check))

雷达天线方向图仿真，非常简单实用。。。。。。。。。(Radar antenna pattern simulation, a very simple and practical)

局部滤波器的特征提取方法，能够很好的反映图像的细节特征和纹理特征。(The characteristics of the local filter extraction method can be a good reflection of the details of image features and texture features.)

基于神经网络的分类，实验数据与结果均在文件夹里，简单的例子将会初学者学习怎么样通过神经网络进行分类与模式识别，很实用的入门程序。(Classification based on the experimental data and the results of neural networks are in the folder, a simple example would be for beginners to learn how to classify and pattern recognition, it is useful entry procedures by neural networks.)

雷达的恒虚警检测技术，二维cfar，采用十字形取数法(Radar CFAR detection technology, two-dimensional CFAR, using the cross number method)

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

《最优阵列处理》一书第三章的MATLAB例程，包括各种线性阵列和孔径的分析与合成算法。(" Optimal array processing," the third chapter of the book MATLAB routines, including linear arrays and aperture of the analysis and synthesis algorithms.)

本程序仿真了均匀线阵的泰勒方向图加权的函数。可以直接在Matlab中调用本函数。(taylor tapering of uniform linear array.)

交错并联微逆变器simulink仿真，包括均流算法的实现。(Interleaved micro inverters simulink simulation, including current share Algorithm)