radar.m

说明：  ITU的MIMO无线信道模型，基于几何的模型，是对不同场景的无线信道的建模(MIMO wireless channel model)

本文介绍了基于MATLAB的语音识别系统，包括对语音信号的特征提取，包括语音信号的特征提取，快速傅立叶变换，离散余弦转换，线性预测分析，梅尔频率倒谱系数以及高斯混合模型。(This paper aims at development and performance analysis of a speaker dependent speech recognition system using MATLAB® . The issues that were considered are 1) Can Matlab, be effectively used to complete the aforementioned task, 2) Accuracy of the Gaussian Mixture Model used for parametric modelling, 3) Performance analysis of the system, 4) Performance of the Gaussian Mixture Model as a parametric modelling technique as compared to other modelling technique and 5) Can a Matlab® based Speech recognition system be ported to a real world environment for recording and performing complex voice commands. The aforementioned system is designed to recognize isolated utterances of digits 0-9. The system is developed such that it can easily be extended to multisyllabic words as well.)

HOUGH判断圆,根据判断直线的方法来改变的MATLAB程序，能在各种MATLAB下运行(USE HOUGH TO DETECT CIRCLE)

To provide Security for the images which are being transmitted through Open communication

plot figure no focus(figure no focus)

四种高斯滤波算法的比较：EKF、UKF、QKF和CKF(Comparison of four Gaussian filtering algorithm: EKF, UKF, QKF and CKF)

Thresholding is used to segment an image by setting all pixels whose intensity values are above a threshold to a foreground value and all the remaining pixels to a background value. Whereas the conventional thresholding operator uses a global threshold for all pixels, adaptive thresholding changes the threshold dynamically over the image. This more sophisticated version of thresholding can accommodate changing lighting conditions in the image, e.g. those occurring as a result of a strong illumination gradient or shadows.

matlab7.1完全教程，可以很系统的了解和学习matlab用法(completely matlab7.1 tutorial, system understanding and learning matlab usage)

说明：  《统计信号处理基础 估计与检测理论》，该书本书是一部经典的有关统计信号处理的权威著作。全书分为两卷，分别讲解了统计信号处理基础的估计理论和检测理论。(&quot Statistical signal processing based estimation and detection theory&quot , the book This book is a classic authority on statistical signal processing work. The book is divided into two volumes, respectively, to explain the basis of statistical signal processing, estimation theory and detection theory.)

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