uelim

一个小程序，三维MATLAB图标，通过编写函数，实现matlab的三维的图标(A small program, three-dimensional MATLAB icon, by writing function to achieve a three-dimensional icons matlab)

這個檔案裡面的matlab的m函數，產生有效的都普勒fd隨機相關的瑞利衰減包絡，可以輸入你想要的doppler ferquecy和sampling ferquecy (This file inside the matlab m-function, effective Doppler fd related Rayleigh random attenuation envelope, you can enter your desired doppler ferquecy and sampling ferquecy)

ccs中产生正弦和余弦相加的混合，使用fir滤波得到低频的正弦。滤波器系数由matlab计算。有文档(ccs generated sine and cosine mixed together, the use of low-frequency filtering fir Sine. Filter coefficients calculated by Matlab. Documented)

通过小波分解的手段对时间序列信号进行降噪。内有英文说明书。 (The noise reduction of time series signals by means of wavelet decomposition . There are instructions in English.)

it contain all the necessary documents for beamformer and antennas you find bartllet,capon,music,esprit.

水文趋势、突变点分析的matlab相关程序——spearman、kendall、pettitt法(Hydrological trends point mutation analysis matlab procedures- spearman, kendall, pettitt France)

涵盖了多种卡尔曼滤波算法及MATLAB实现（书内附有一些例子的源M文件），作者将多年的工作经验融入此书，使之成为学习卡尔曼滤波的同学一本不可多得的经典参考书。(The book content is very comprehensive, covering a wide range of Kalman filter algorithm and MATLAB implementation of many years of work experience will be integrated into the book, making the students learn a Kalman filter rare classic reference book.)

The spectrum sensing problem has gained new aspects with cognitive radio and opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive radio systems. In this paper, a survey of spectrum sensing methodologies for cognitive radio is presented. Various aspects of spectrum sensing problem are studied from a cognitive radio perspective and multi-dimensional spectrum sensing concept is introduced. Challenges associated with spectrum sensing are given and enabling spectrum sensing methods are reviewed. The paper explains the cooperative sensing concept and its various forms. External sensing algorithms and other alternative sensing methods are discussed. Furthermore, statistical modeling of network traffic and utilization of these models for prediction of primary user behavior is studied. Finally, sensing features of some current wireless standards are given.

for graphing quadratic functions

An estimation method for the inference on parameters of a dynamic macro model originally developed by Christiano, Eichenbaum and Evans is examined, extended and implemented in MATLAB.