An additive watermarking image based on PSO

聚类分析（K-Means)程序实现及展现

内插 I=4 LFM加SNR=10dB，噪声内插输出需加滤波器(Interpolation，I=4 SNR=10dB)

第一章 概述 辨识（Identification）、状态估计和控制理论在现代控制理论中是密不可分的，它们互相渗透。辨识和状态估计离不开控制理论的支持，控制理论的应用几乎不能没有辨识和估计技术。由此可见，辨识在科研与实际应用领域都有很高的实用价值。 所谓辨识，就是从含有噪声的输入、输出数据中提取被研究对象的数据模型。此数据模型只是过程的输入输出特性在某种意义下的近似，而近似的准确度一般取决于采样数据的精度以及辨识方法的合理性。 辨识的目的是根据过程所提供测量的数据等信息，在某种准则意义下，估计出模型的未知参数，其基本原理如图1.1所示： (Identification (Identification), state estimation and control theory in modern control theory are inextricably linked, they penetrate each other. Identification and control of state estimation theory is inseparable from the support of the application of control theory can hardly no identification and estimation techniques. This shows that the identification of the research and practical application areas have high practical value. The so-called identification, is to contain noise from the input and output data from the study was the data model. This data model is the process of input and output characteristics in a certain sense of approximation, while similar to the general accuracy of the data depends on the accuracy of sampling and identification method is reasonable. Identification wit)

Using SA toolbox to solve the simple problem problem: we want to find the solve the puzzle which the sum of every row and column are equal.

2元BPSK调制加高斯信道硬判决统计误码率(2 yuan plus Gaussian channel BPSK modulation hard decision error rate statistics)

插值与拟合的matlab实现，FIR 底通和带通滤波器和IIR 底通和带通滤波器，光纤陀螺输出误差的allan方差分析。( Interpolation and fitting matlab implementation, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, allan FOG output error variance analysis.)

说明：  QRS detection, Pan & Tompkins 算法完整实现(Complete Implementation of the Algorithms:QRS detection, Pan & Tompkins)

CFAR算法 包括cfar_ac、cfar_os、cfar_so、cfar_tc和cfar_go 【源码目录】 CFAR ├── cfar_ac.m├── cfar_ac_TEST.m├── cfar_go.m├── cfar_go_test.m├── cfar_os.m├── cfar_os_test.m├── cfar_so.m├── cfar_so_test.m├── cfar_tc.m├── cfar_tc_test.m├── env_edge.m└── env_uniform.m0 directories, 12 files【核心代码】% 单目标% SNR1=15;    signal1_p=10.^(SNR1./10).*noise_p;% xc(1,90)=signal1_p;%% 多目标% SNR1=20;signal1_p=10.^(SNR1./10).*noise_p;% xc(1,90)=signal1_p;% SNR2=15;signal2_p=10.^(SNR2./10).*noise_p;% xc(1,102)=signal2_p;

说明：  齿轮动力学，考虑的因素较多，有位移，法向力。(Gear dynamics, take into account many factors, displacement, normal force.Hopefully it will be useful)

增广拉格朗日乘子法,matlab,注意更改图像地址