matlabusefulexamples3

Matlab/Simulink OFDM 64 QAM Module

关于copulas相关的比较齐全的编程代码，能够简单地将相应程序运行(About copulas related to the relatively complete programming code, can simply be the corresponding program to run)

含风电电力系统经济调度程序，细菌群体趋药性算法(Including wind power system economic dispatch program, bacterial colony chemotaxis algorithm)

自适应Chirplet变换 用于分析提取雷达回波的微多普勒特征(Adaptive Transform Chirplet feature for analyzing the micro-Doppler radar echo extraction)

本程序为偏最小二乘法和主成分分析的matlab程序用于建立光谱信息和所测样品浓度的关系，建立预测模型(This program is partial least squares and principal component analysis matlab program for the establishment of spectral information and the relationship between the concentration of the samples, the establishment of forecasting model)

Matlab source code for DCT-based watermarking for grayscale images. DCT-based watermark recovering without resorting to the uncorrupted original image. Digital watermarking has been proposed as a viable solution to the need of copyright protection and authentication of multimedia data in a networked environment, since it makes possible to identify the author, owner, distributor or authorized consumer of a document. A new watermarking technique to add a code to digital images is presented: the method operates in the frequency domain embedding a pseudo-random sequence of real numbers in a selected set of DCT coefficients. Watermark casting is performed by exploiting the masking characteristics of the Human Visual System, to ensure watermark invisibility. The embedded sequence is extracted without resorting to the original image, so that the proposed technique represents a major improvement to methods relying on the comparison between the watermarked and original images.

说明：  基于MATLAB单神经元PID控制源程序(MATLAB-based single neuron PID control source)

时频分析，窗宽对信号恢复的影响 以及差值分析(Time-frequency analysis, the impact of the window width and the difference signal recovery analysis)

Snake Methods for Image 2D

用k2算法从先验概率构建贝叶斯网络，实现推理，结构学习，参数学习用贝叶斯方法。(K2 algorithm using Bayesian network built from the a priori probability to achieve reasoning, structure learning, parameter learning.)