-
duoyuanhuigui
多元线性回归模型的一般形式
参数估计（ OLS估计）
假设检验
预测
(The general form of the multiple linear regression model parameter estimation (OLS estimates) hypothesis testing prediction)
- 2013-01-09 22:18:26下载
- 积分：1
-
nijuzhen
生成一个矩阵的功能，主要是为了方便，可以直接下来用(Generate a matrix of functions, mainly for convenience, can be used directly down)
- 2009-11-26 23:32:35下载
- 积分：1
-
Matlab
MATLAB7混合图像编程。详细介绍了MATLAB7.x与其它语言混合变成的方法。是程序开发更加高效，灵活(Graphics Programming MATLAB7 mixed. Described in detail MATLAB7.x become mixed with other language approach. Development is more efficient, flexible)
- 2008-02-23 13:28:33下载
- 积分：1
-
sarImagingSimu
关于SAR成像的三种方法的matlab程序，可以看看，还不错(SAR imaging of the three methods on the matlab program, you can see, not bad)
- 2010-10-13 14:35:19下载
- 积分：1
-
dst_idst
DCT and DST funnctions in MATLAB for arbitrary dimensions
- 2015-01-06 12:45:42下载
- 积分：1
-
ControlSystemCalibration
使用matlab进行系统的超前和滞后校正，以使得所设计系统达到想要的性能。(Matlab systematic use of lead and lag correction, designed to make the system to achieve the desired performance.)
- 2010-11-25 13:44:02下载
- 积分：1
-
PSK
对PSK系统的I和Q信道进行噪声模拟以完成正确的链接预算估计(estimate link usage by simulate noisy PSK system)
- 2013-01-17 10:49:06下载
- 积分：1
-
fig7_5b
We see that HTH matrix is almost diagonal as the off diagonal elements are nearly zero. So we are getting exact estimation in case of PRN INPUT due to diagonality of HTH matrix. As seen that the unknown inpulse response ( h ) and estimated impulse response ( hth ) are coming out to be exactly same. The estimation even gets better for large N .as we get the HTH matrix perfect diagonal. So we come to know that we can estimate the unknown parameters exactly when PRN input is used.
- 2013-05-02 02:54:15下载
- 积分：1
-
compress_sensing_without_frame
Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.
- 2014-01-27 20:55:41下载
- 积分：1
-
tuxiang
自己写的一个C++程序，KMEANS的，希望大家看看(To write a C++ program, KMEANS, we hope to see)
- 2015-04-15 20:45:32下载
- 积分：1
