detection-of-craters-in-mars

使用mat2huff进行编码，进一步说明霍夫曼编码的压缩性能！显示其压缩比例，以及其图像的对比！(Encoded using mat2huff to further clarify the Huffman coding compression performance! Shows the compression ratio and the image contrast!)

2013年数学建模B题 功率放大器非线性特性及预失真建模的程序 可以直接测试运行 包含泰勒模型 多项式模型 神经网络模型等(2013 B title mathematical modeling and nonlinear characteristics of the power amplifier pre-distortion modeling program can be run directly test the model includes Taylor polynomial model neural network models)

说明：  改程序用于在实验中所测量的振动、噪声、水声以及数值模拟监测所得到的信号，实现信号的自相关分析。(The modified program is used to measure the vibration, noise, underwater sound and the signal obtained from the numerical simulation monitoring in the experiment to realize the autocorrelation analysis of the signal.)

《MATLAB语言实用教程》采用最新版MATLAB R2009a，详细介绍了MATLAB的编程基础及其扩展，使读者能够快速掌握MATLAB基本编程的方法和不同工具箱的使用方法。《MATLAB语言实用教程》共分11章，包括MATLAB入门、MATLAB的基本元素与数据类型、数组与矩阵、MATLAB的程序、MATLAB的图形绘制、MATLAB的科学计算、符号计算、MATLAB在工程数学中的应用、创建用户图形界面、Simulink建模与仿真和MATLAB的应用等内容。 (" MATLAB language tutorials and practical" using the latest version of MATLAB R2009a, introduced in detail the MATLAB programming foundation and its extensions, allowing the reader to quickly grasp the basic MATLAB programming methods and different toolbox to use. " MATLAB language tutorial" is divided into 11 chapters, including the MATLAB MATLAB entry, basic elements and data types, arrays and matrices, the MATLAB program, MATLAB MATLAB graphics rendering, scientific computing, symbolic computation, MATLAB in engineering mathematics application, creating a graphical user interface, modeling and Simulation of Simulink and MATLAB application content.)

线性卡尔曼滤波，二维状态空间模型一般的卡尔曼滤波(kalman fitering)

用matlab编写的一个人机界面，具有读取文件功能，操作按钮功能等(A matlab GUI program which can read file, operating button act.)

QAM(Quadrature amplitude modulation) Code in matlab

时频信号分析，分数阶傅里叶变换，matlab实现工具包(time-frequency signal analysis—fractional fourier transform—tool kits（in matlab）)

使用matlab实现对语音文件的分析、处理并提取出mfcc参数(Matlab is used to analyze and process voice files and extract MFCC parameters.)

本文针对SLAM算法中数据关联过程，提出了一种简单易行的改进方法，将欧氏距离与马氏距离结合用于数据关联。算法不必计算地图所有特征与所有量测之间的马氏距离，而是首先利用相对简单的欧氏距离计算缩小了待关联特征的搜寻范围。利用人工合成数据的仿真结果表明，改进后的数据关联方法可以大幅减少系统计算量，提高关联效率，且不会造成错误关联的增加。(This article SLAM algorithm for data association process, a simple method to Euclidean distance combined with the Mahalanobis distance for data association. Algorithms do not have to calculate all the characteristics of the map with all measurements between the Mahalanobis distance, but the first to use a relatively simple calculation of Euclidean distance to be associated characteristics of narrowing the search. The use of synthetic data simulation results show that the improved methods of data association can significantly reduce the system to calculate the volume and improve the efficiency of association, and will not lead to errors associated with an increase.)