Field_II_PC7

This program takes as input number of horizontal and vertical regions then runs region based histogram matching and returns the image buffer

说明：  MATLAB在电子信息类专业基础课中的应用，给你的专业课带来方便。(MATLAB in the professional category of electronic information in the application of basic courses, professional courses to your convenience.)

Matlab教程第7章，编程与数据分析、整理(Matlab Guide Chapter 7, programming and data analysis, sorting)

介绍了非高斯Levy噪声下的分数阶扩展卡尔曼滤波算法，对非线性离散系统进行滤波。(The fractional order Extended Kalman Filter algorithm for nonlinear discrete system under non-Gaussian Levy noises)

基于matlab平台实现,基于互功率谱的时延估计，含噪脉冲信号进行相关检测。( Based on matlab platform, Based on the time delay estimation of power spectrum, Noisy pulse correlation detection signal.)

Matlab 编程百例,有百个原程序 Matlab 编程百例,有百个原程序()

对一维信号的核心算法分析，腐蚀膨胀源代码；(A one-dimensional signal analysis of the core algorithm )

Signal processing front end for extracting the feature set is an important stage in any speech recognition system. The optimum feature set is still not yet decided. There are many types of features, which are derived differently and have good impact on the recognition rate. This paper presents one more successful technique to extract the feature set a speech signal, which can be used in speech recognition systems. Our technique based on the human auditory system characteristics and relies on the gammachirp filterbank to emulate asymmetric frequency response and level dependent frequency response.

：压缩感知是近年来应用数学界提出的一套关于稀疏信号采集和重构的新理论，它突破了传统奈奎斯特采样定理 的限制，以远少于传统奈奎斯特采样定理所需的测量数据就能够精确恢复原信号或估计信号的相关参数。将压缩感知理论应 用到DOA估计，可以解决传统DOA估计中高采样率、以及较多辐射源信号条件下难以定位的限制。研究了基于压缩感知理 论的DOA估计方法，并利用MATLAB进行仿真，通过与传统MUSIC算法比较可知，基于压缩感知的DOA估计方法具有显著 的优势(The theory of Compressive Sensing(CS)is the application of mathematics in the field of a sparse signal acquisition and reconstruction of the new theory. It breaks through the traditional limitation of Nyquist sampling theorem. It can recover certain signals or estimate their parameters far fewer samples or measurements than traditional methods. The application of compressed sensing theory to DOA estimation can solve the traditional DOA estimation in high sampling rate, as well as more of the radiation source signal conditions is difficult to position limits. This paper studies the theory of DOA estimation method based on compressed sensing theory, and simulation uses MATLAB, compared with the traditional MUSIC algorithms, DOA estimation based on compressed sensing theory method has the obvious advantage)

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