plot_rose

分数付利叶变换的第二种算法 matlab程序(The m-file frft2.m computes the fast fractional Fourier transform following the algorithm)

MATLAB CODE TO SIMULATE OFDM SYSTEM

说明：  利用子程序fast-lot.m,实现对该图像的变化及压缩，并和以为信号做dct后的图像质量相比较。(Using subroutine fast-lot.m, to achieve the changes and compression of the image, and after, and that the signals do dct compare the image quality.)

Fuzzy knowledge-based system identification and modeling process is composed of two parts: variable identification and parameter identification. In variable identification, the significant variables of the system are identified among the set of possible variables. In parameter identification, the parameters of the knowledge-based system that describe the relationship between input and the output variables are identified. Parameter identification method consist of two steps: 1-find fuzzy clusters to establish the number of fuzzy rules 2-optimize the rule consequents. This code perform a fuzzy clustering using subtractive clustering

A SimullnkTM toolbox for simulation and analysis of optical fiber links

利用稀疏贝叶斯实现的图像分类，实现效果很好，matlab代码(Sparse Bayesian image classification implemented to achieve good results, matlab codes)

匹配追踪和正交匹配追踪，GPS和INS组合导航程序，有借鉴意义哦，详细画出了时域和频域的相关图，抑制载波型差分相位调制，阵列信号处理的高分辨率估计，使用matlab实现智能预测控制算法。( Matching Pursuit and orthogonal matching pursuit, GPS and INS navigation program, There are reference Oh, Correlation diagram shown in detail the time domain and frequency domain, Suppressed carrier type differential phase modulation, High-resolution array signal processing estimates, Use matlab intelligent predictive control algorithm.)

unconstrain function matlab code, optimizition benchmark problem (test problem) in matlab

Unscented Kalman Filter (UKF) exemplified on FitzHugh-Nagumo neuron dynamics. Voltage observed, currents and inputs estimated. FitzHughNagumo.m is the main program which calls the other programs. If you use these programs for your publications etc., please refer to H.U. Voss, J. Timmer & J. Kurths, Nonlinear dynamical system identification from uncertain and indirect measurements, Int. J. Bifurcation and Chaos 14, 1905-1933 (2004). I will be happy to email this paper, which contains a tutorial about estimation of hidden states and unscented Kalman filtering. For commercial use and questions, please contact me.

ransac funtion to use in image process