RS

说明：  基于亮度直方图的纹理特征，包含均匀度、平滑度、一致性、熵等六个特征。(Brightness histogram-based texture features, including uniformity, smoothness, uniformity, entropy and other six characteristics.)

极化SAR定标算法，采用最新的Withworth算法(Polarimetric SAR calibration algorithm)

全球卫星导航系统通信中不同卫星中的C/A(Glod码)码产生。(The generation of C/A code for different satellites in GPS communication.)

This book brings the basics of MATLAB to your convenience. It has a easy to learn approach which is very helpful to some users.

说明：  这是冈萨雷斯数字图像处理MATLAB版本配套的源码，里版包含了书中所用到的所有作者编写的P文件，都可以直接应用，但不可以更改。(This is Gonzalez Digital Image Processing MATLAB version supporting source, where the book contains all the authors use to prepare the P document, can be applied directly, but not be changed.)

首先用matlab实现了识别算法的仿真，因为只是对特定的数字组合的识别，所以非常的简单，放弃采用比较复杂的识别算法，采用最普通的像素比较的识别算法。(First, to achieve the recognition algorithm using matlab simulation, because the only identification of a specific combination of numbers, it is very simple, give up the use of more complex recognition algorithms compare the most common pixel identification algorithm.)

基于IDCT_DCT域的全相位数字滤波和图像内插_赵黎丽,很不错(All phase digital filtering and image in IDCT_DCT domain based on Zhao Lili interpolation _)

说明：  MATLAB 代码 第1章 BP神经网络的数据分类——语音特征信号分类 第2章 BP神经网络的非线性系统建模——非线性函数拟合 第3章 遗传算法优化BP神经网络——非线性函数拟合 第4章 神经网络遗传算法函数极值寻优——非线性函数极值寻优 第5章 基于BP_Adaboost的强分类器设计——公司财务预警建模 第6章 PID神经元网络解耦控制算法——多变量系统控制 第7章 RBF网络的回归--非线性函数回归的实现 ....等58章(MATLAB code The first chapter is BP neural network data classification -- speech characteristic signal classification The second chapter is the nonlinear system modeling of BP neural network nonlinear function fitting The third chapter, genetic algorithm optimization BP neural network - nonlinear function fitting The fourth chapter, neural network, genetic algorithm, function extreme value optimization nonlinear function extremum seeking The fifth chapter is based on BP_Adaboost's strong classifier design -- the company financial early-warning model The sixth chapter is PID neural network decoupling control algorithm multivariable system control The seventh chapter is the regression of RBF network the realization of nonlinear function regression .........the last is 58 chapters)

Demo showing the versatility of sound programs in Matlab computes the convolution of two sound signals, and plays a remixed version of Mary had a little lamb using the resulting signal.

correlation similarity measure