single_pulse_ambg

语音识别系统，在静音环境比较准确，但是假若有噪音或者其他情况会有问题，附预处理部分(Speech recognition system, in the quiet environment is accurate, but if there are noise problems or other conditions will be attached to some pretreatment)

MATLAB SVM TOOLBOX，是一个在GUN 编写的基础上加速的版本(MATLAB SVM TOOLBOX, is a preparation based on GUN-accelerated version of)

随机产生序列u(n),计算自相关系数并且计算功率谱密度(Randomly generated sequence u (n), calculated from the correlation coefficient and calculate the power spectral density)

Simple manual of project 2007 in spanish

关于数学建模方面的matlab教学课件，内容简单易懂，适合入门者，可以很快上手(On the mathematical modeling of matlab courseware, content easy to understand for beginners, you can quickly get started)

说明：  提取目标线谱特征的时频处理方法 lofar方法(A time-frequency processing method, lofar method, for extracting the characteristics of the target line spectrum)

说明：  PSO-ELM 粒子群算法优化极限学习机(PSO-ELM Particle swarm optimization for extreme learning machine)

Describes how to find the theta value in CPFSK

Matlab GUI 编程教程（适用于初学者）(Matlab GUI programming tutorial (for beginners))

这本书提供了充分的代表性逆合成孔径雷达（ISAR）成像，这是一种流行和重要的雷达信号处理工具。本书涵盖了所有可能的ISAR成像方面。这本书提供了一个介绍了专家组的逆问题和合成孔径雷达（SAR）提出的问题之前，信号处理技术和雷达基本相当。如高分辨率SAR的重要概念，脉冲压缩和图像形成连同相关的MATLAB代码。 ISAR成像的基本原理后，这本书提供了相关的MATLAB函数和代码成像ISAR成像的详细程序。 ISAR成像，多个成像技巧和微调，如零填充和窗口程序，以提高图像的质量也被提出。最后，逆合成孔径雷达图像中的各种实际应用，如成像天线平台散射的，是在单独的一章。所有这些算法，MATLAB代码和数字都包括在内。最后一章考虑了在ISAR成像的先进理念和发展趋势。(This book provides a full representation of Inverse Synthetic Aperture Radar (ISAR) imagery, which is a popular and important radar signal processing tool. The book covers all possible aspects of ISAR imaging. The book offers a fair amount of signal processing techniques and radar basics before introducing the inverse problem of ISAR and the forward problem of Synthetic Aperture Radar (SAR). Important concepts of SAR such as resolution, pulse compression and image formation are given together with associated MATLAB codes. After providing the fundamentals for ISAR imaging, the book gives the detailed imaging procedures for ISAR imaging with associated MATLAB functions and codes. To enhance the image quality in ISAR imaging, several imaging tricks and fine-tuning procedures such as zero-padding and windowing are also presented. Finally, various real applications of ISAR imagery, like imaging the antenna-platform scattering, are given in a separate chapter. For all these algorithms, MATLA)