Fuzzy-logic-C-a-matlab-code

说明：  经典Davey著作中 ldpc部分仿真程序(classic works part ldpc Simulation Program)

最小选择恒虚警检测——SO-CFAR检测器：包括对于无目标、仅有噪声的信号进行SO-CFAR检测的仿真，以及对于含目标、且在瑞利杂波背景下的CA算法仿真。一些程序主要是为了绘图，画出SO-CFAR检测过程中的信号波形以及检测门限对比图；而另一些程序是为了计算SO-CFAR检测过程中的检测概率和虚警概率。(SO-CFAR detectors: simulations of detection to signals with no target but noise only, as well as signals with target and the background of Rayleigh clutter. Some programs are aimed at giving pictures of the signals and detectiong threshold in the process of detection using SO-CFAR algorithm, while other programs are aimed at calculating the detecting rate and false alarm rate of SO-CFAR algorithm.)

高频雷达 目标检测 去除Bragg峰 采用现代信号处理的方法 协方差方法(Remove high-frequency radar target detection Bragg peak using the methods of modern signal processing methods covariance)

KPCA 介绍核PCAdehanshumokuai (matlab KPCA)

对模拟退火算法进行分析，介绍，并用两种matlab方法对算法进行仿真(The simulated annealing algorithm is introduced, and the algorithm analysis, simulation is carried out with two kinds of MATLAB methods)

matlab实现的L-M算法的函数拟合，可以用了进行函数的拟合(matlab implementation of the LM function fitting algorithm can be used for the fitting function)

通过同步压缩小波变换，实现信号的分解和重构，效果优化小波变换(The signal is decomposed and reconstructed by synchronous compression wavelet transform, and the effect is optimized by wavelet transform)

background cleaning for a image

matlab gui设计学习手册》 第二版 2012新版 第七章源码 matlab gui the second edition(matlab gui the second edition)

这是一本研究目标定位跟踪的学习手册（在雷达，声纳，无线传感器网络领域等），采用的方法有最小二乘/极大似然，卡尔曼滤波，蒙特卡洛，粒子滤波等方法，更是很多读者需要的是里面有大量的仿真实例和程序代码，并配以中文注释，读者可以结合书中的原理和公式，对程序有进一步的理解。也适合很多读者在已有的代码的基础上对算法进行改进。(This is a study targeting the learning manual tracking (radar, sonar, wireless sensor networks, etc.), using the least squares method/maximum likelihood, Kalman filtering, Monte Carlo, particle filtering methods , but many readers need is there are a large number of simulation examples and program code, and with Chinese notes, the book the reader can combine the principles and formulas, a better understanding of the program. Also suitable for many readers on the basis of the existing code to improve the algorithm.)