结构光照明荧光显微镜超分辨率图像重建算法研究方面的论文 microscopy-

Eigenfaces tests for grayscale images using PCA and SVD

基于matlab编程的龙格库塔解题方法，介绍比较详细(Problem solving based on the Matlab programming of Runge-Kutta method, a more detailed introduction)

Scaling function to generate steady state tracking in state feedback control systems. Copyright to the rightful owners

Create an impulse excitation

通信系统仿真原理及无线应用，里面有详细的通信系统matlab仿真和仿真结果，适合大家学习(Principles of Communication System Simulation with Wireless Aplications)

A PIV Post-processing and data analysis toolbox(The PIVMat Toolbox for Matlab contains a set of command-line functions to import, post-process and analyse 2- and 3-components vector fields from PIV (particle image velocimetry), stereo-PIV, DIC (digital image correlation) SS (synthetic schlieren) or BOS (background-oriented schlieren) applications. Main Features: - Import vector fields from PIV (Particle Image Velocimetry) or other related technics, such as DIC (Digital Image Correlation), SS and BOS (Synthetic Schlieren and Background-oriented Schlieren). - Compatibale with files from DaVis (LaVision), DPIVSoft (Meunier & Leweke), VidPIV (Oxford Laser), MatPIV and Optical Flow. - Standard vector field operations: interpolation, filtering (median, Butterworth...), averaging (temporal, spatial, azimuthal...), derivatives computation (vorticity, divergence, strain, Q-factor...) - Fully vectorized: all operations directly apply on arrays of fields (no for loops) - More than 60 functions with full on-line documentation sampl)

合成孔径雷达DPCA程序，希望对大家有用(synthetic aperture radar DPCA procedures in the hope that it may be useful for )

二维FDTD仿真高斯脉冲的传播，设定了不同PEC边界条件，并且可以自动生成.avi文件播放。(Propagation of two-dimensional FDTD simulation Gaussian pulse, set a different PEC boundary conditions, and can automatically generate .avi file playback.)

包括针对调制识别的ASK,PSK,FSK,16QAM,以及hilbert变换的matlab源代码，注意是针对调制识别的(Including modulation recognition for ASK, PSK, FSK, 16QAM, and hilbert transform matlab source code, attention is directed modulation recognition)

较为详细地介绍了延迟微分方程的概念以及数值解法，并提供具体的计算案例以及在matlab中的实现，并附有一定的源码，适合初学者参考学习()