goertzel

几个用MATLAB语言编写的扩展卡尔曼滤波例子，适合初学者(some example about EKF(Extended Kalman Filter))

This is a simple sample of crypto

用于检测出图像中所存在物体的边缘 (Edge can be used to detect the presence of objects in the image)

说明：  DS系统仿真模型 先调制后扩频的方法 建立模型 绘制误码率曲线(System Simulation Model DS spread spectrum modulated first approach to model the bit error rate curves drawn)

说明：  基于matlab的边缘检测程序，成功实现了奥运开幕式图片的边缘检测，matlab6环境运行成功。(Matlab-based edge detection procedures, the successful implementation of the Olympic opening ceremony, the edge detection image, matlab6 environment running successfully.)

最新的改进旋转门的双链量子遗传算法，该算法采用一种改进的量子旋转门对种群中的染色体进行更新，有效提高算法的收敛速度。(Duplexes improved quantum genetic algorithm latest revolving door, the algorithm uses an improved quantum revolving door of the population of chromosomes updates improve the convergence speed.)

Brightness is one of the most significant pixel characteristics. It is involved in many image-editing algorithms such as contrast or shadow/highlight.

patton程序中关于超越概率的计算及其图像(patton`s code for exceedance correlation)

频率估计的根MUSIC方法.y ->数据向量 n -> 模型阶数 m -> 矩阵阶数 w <- 频率谱估计(The Root MUSIC method for frequency estimation.)

本书面向MATLAB 的初中级读者，在介绍MATLAB R2014a 集成环境的基础上，对MATLAB 使用中常用的知识和工具进行了详细的介绍，书中各章均提供了大量有针对性的算例，供读者实战练习。 根据内容的侧重点不同，全书分为4 部分共20 章：第1～5 章为基础部分，讲解MATLAB R2014a 概述、MATLAB 基础知识、数组与矩阵、MATLAB 编程基础及数据可视化等；第6～8 章为数学应用部分，讲解数据分析、符号数学计算和概率统计等；第9～15 章为工程应用部分，讲解偏微分方程、优化、图像处理、信号处理、小波分析等工具箱，Simulink 仿真基础及应用等；第16～20 章为知识拓展部分，讲解句柄图形对象、图形用户界面、文件读取I/O、MATLAB 编译器和外部接口应用介绍等内容。为了使用户能够更好地操作MATLAB，本书中示例的命令已记录在M 文件及其他相关文件中，用户可以将相关的目录设置为工作目录，直接使用M 文件进行操作，以便快速掌握MATLAB 的使用方法。(This book is for the middle-class readers MATLAB, MATLAB R2014a based on the introduction of the integrated environment, the use of MATLAB common knowledge and tools are described in detail in the book each chapter offers a lot of targeted studies, for Readers combat exercises. Depending on the focus of the content, the book of 20 chapters divided into 4 parts: 1 to 5 for the basic part, explain MATLAB R2014a overview, MATLAB basics, arrays and matrices, MATLAB Programming Fundamentals and data visualization 6-8 Chapter mathematical application part, explain the data analysis, symbolic math and probability and statistics 9 to 15 for the engineering part, explain the partial differential equations, optimization, image processing, signal processing, wavelet analysis toolbox, Simulink Simulation Fundamentals and applications 16 to 20 chapters expand knowledge part, explain handles graphic objects, the graphical user interface, file read I/O, MATLAB Compiler, and an external interface a)