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这篇文章最近看的觉得挺有用的，希望能对做这方面的朋友有所帮助！(Read this article recently that Tingyou use, hoping to make friends in this area help!)

使用matlab进行边缘提取，更加深刻的理解canny算法应用(Using matlab to edge extraction, a more profound understanding of the application of canny algorithm)

从国外大学上下的Levenberg算法程序(From foreign universities Levenberg algorithm program from top to bottom)

Hopfield BAM 双向异联想的简单实现，内含说明pdf文件(bam on Hopfield Network)

Welsh.m为着色问题中的Welsh-Powell算法程序，并且sortd.m为其中调用的一个排序子函数。(Welsh.m coloring problem in the Welsh-Powell algorithm program and sortd.m call for which a sort subroutines.)

基于chebyshev的水声信号分析，小波包分析提取振动信号中的特征频率，多抽样率信号处理。( Based chebyshev underwater acoustic signal analysis, Wavelet packet analysis to extract vibration signal characteristic frequency, Multirate signal processing.)

用PSO优化LSSVM的参数，得到最优参数，使得分类更加准确。(Using the PSO the LSSVM the parameter, the optimal parameters, more accurate classification. )

针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点，文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数，得到其能量分布集中于于信号的调频率曲线上的结论，此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计；然后通过解线性调频技术获得其初始频率和宽度的估计，仿真结果验证了本文算法的有效性。 (For the signal adaptive the chirplet decomposition of unknown parameters to achieve difficult to literature [1] proposed a new fast algorithm for chirplet decomposition. The algorithm makes use of the secondary phase of the calculated signal function, the conclusion focused on energy distribution curve to tune the frequency of the signal by the peak detection chirplet tune frequency, time center and amplitude estimates then by solving chirp technology to obtain the initial frequency and width is estimated that the simulation results demonstrate the effectiveness of the proposed algorithm.)

matlab读取数据文件，进行fft，再写入数据文件，最后比较变化。(matlab to read data files for fft, and then write the data file, and finally compare changes.)

particle swarm optimization