整理好的遗传算法调试程序

本文算法是将24 位真彩图的亮度分量分块 DCT ,然后利用DCT 量化系数的奇偶特性嵌入8 位灰度水印图,并通过PN 序列加密来保证水印的 安全性。算法中,将灰度图像转换为二进制数据 流,置乱后扩频调制,隐藏在宿主DCT 系数量化值 中,提取时不需要宿主信号,实现水印信号的盲提 取。(This algorithm is 24-bit true color pictures of the luminance component of block DCT, quantization DCT coefficients and then use the parity properties of 8-bit grayscale watermark embedding map, and through the PN sequence of encryption to ensure the security of the watermark. Algorithm, the gray image into binary data stream, scrambling after the spread spectrum modulation, hidden in the host DCT coefficient quantization values, the extraction does not require the host signal, the blind watermark extraction.)

computes the stft using rectangular window

说明：  s平面和z平面映射演示程序 matlab 编程 (s plane and z-plane mapping demo matlab programming)

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里面含有丰富的MATLAB资料供大家使用，堪称MATLAB资料大全(Which contain rich information for people to use MATLAB, called MATLAB Sourcebook)

该程序为matlab程序，共有三个文件，dataC.m为程序入口，实现功能对50组数据用k均值算法进行分类，再对40组数据用感知器算法训练，然后用训练得到的判别函数对剩下10组数据分类，最后与原始分类做差比较，若分类无误，则全显示为0.(Matlab program on the program, a total of three files dataC.m for program entry features 50 sets of data with k-means algorithm to classify 40 sets of data with the training of the perceptron algorithm, and then using the trained discriminant function The remaining 10 sets of data classification, and finally with the original classification poor comparison, if the classification is correct, then the whole show.)

说明：  求解全局优化问题的经典遗传算法代码，简单易懂，适合初学者(Solving global optimization problems classical genetic algorithm code, easy to understand for beginners)

matlab对信号的处理，主要是针对振动信号的处理，包括加速度积分到位移，时域经快速傅里叶变换到频域(The signal processing of MATLAB is mainly aimed at the processing of vibration signal, including acceleration integral to displacement, time domain and FFT to frequency domain)

说明：  在MATLAB中循环读入多幅图像与保存多幅图像(In MATLAB in the cycle time into a number of images and preservation of multiple images)

《雷达信号分析》ppt,南京理工大学 朱晓华 教授 博士生导师 主讲 比较经典 希望对大家有帮助("Radar signal analysis" ppt, Nanjing University of Science PhD supervisor Professor Zhu Xiaohua more classic speakers we want to help)