lp_solve_MATLAB

通过Fourier与Laplace逆变换，把时域图变成频域图，增强信号的可视性。(Through the inverse transformation of Fourier and Laplace, the time domain diagram is transformed into frequency domain graph to enhance the visibility of the signal.)

三维电磁场FDTD程序（3D-FDTD matlab）PEC边界(（3D-FDTD matlab）PEC)

an Adaptive Fuzzy Filter for Restoring Highly Corrupted Images by Histogram Estimation

Monte Carlo Markov Chain (MCMC)

小波变换文档汇总：二维小波变换在图像去噪处理中的应用、matlab小波工具箱及其应用、morlet小波变换理论与应用研究及软件实现、二维小波变换去噪的MATLAB可视化设计等(Wavelet transform document summary: two-dimensional wavelet transform in image denoising processing, matlab wavelet toolbox and its application, the application morlet wavelet transform theory and application research and software implementation, the 2 d wavelet transform denoising matlab visual design, etc )

最小二乘算法来实现esprit算法，该代码已经在matlab中运行过绝对可以放心使用(Least squares algorithm to achieve esprit algorithm, the code has been run in matlab absolutely safe to use)

说明：  TFBSS是一种基于短时傅里叶时频分析的盲源分离算法，算法基于卷积混合。处理非平稳源信号。(TFBSS performs Blind Source Separation of (over)determined multiplicative mixtures of non-stationary real valued sources. TFBSS is based on the joint-diagonalization of whitened and noise-compensated Spatial Time-Frequency Distribution (STFD) matrices of the observations, corresponding to single auto-terms positions, as described in: C. Févotte and C. Doncarli. "Two contributions to blind source separation using time-frequency distributions", IEEE Signal Processing Letters, 2004. IEEE Signal Processing Letters, vol. 11, no. 3, Mar. 2004. pdf and A. Holobar, C. Févotte, C. Doncarli, and D. Zazula. "Single autoterms selection for blind source separation in time-frequency plane". In Proc. 11th EUSIPCO, Toulouse, France, 2002 (Special Session on Source Separation). pdf )

地震数字处理的一个挺好的软件包,内附有实际例子(A very good package of Seismic digital processing)

西安电子科技大学有关阵列信号处理的课件，非常实用，欢迎下载(Xi an University of Electronic Science and Technology related courseware array signal processing, very practical, welcome to download)

TDOA/AOA定位的扩展卡尔曼滤波定位算法，具有难度。(TDOA/AOA positioning the extended Kalman filter algorithm with difficulty.)