-
16QAM_blind_equalization-for-cma
一个16相位正交调幅的信道盲均衡恒模算法,适用于高斯白噪声信道。(a 16 QAM blind equlization for costant modulus algorithm ,which used to Gaussian white noise channels)
- 2020-11-03 11:39:53下载
- 积分:1
-
LMS
数字信号处理,LMS算法实现,简单MATLAB编程(Digital signal processing, LMS algorithm, a simple MATLAB program)
- 2010-06-07 21:03:13下载
- 积分:1
-
ISAR
ISAR成像的数据和源程序,非常重要!!(ISAR imaging data and the source is very important! !)
- 2021-05-13 12:30:02下载
- 积分:1
-
huadongxiangguanpuh
说明: GPS捕获的滑动相关捕获的算法的实现,包括C/A码的产生,数字化,还有精频的确定算法,很全的代码,希望对你有帮助(GPS captured captured sliding correlation algorithm, including the C/A code generation, digital, there are fine frequency identification algorithm, it is all the code, I hope to help you)
- 2010-04-06 11:28:41下载
- 积分:1
-
GAQRCodeTest
可以生成二维码,然后可以读取二维码比较结果(Can generate a two-dimensional code, and then compare the results can be read two-dimensional code)
- 2013-11-13 00:05:47下载
- 积分:1
-
mywarma
有理谱估计的MYWARMA方法,能有效估计所给信号的功率谱(MYWARMA rational spectrum estimation methods to estimate the effective signal power spectrum)
- 2008-05-21 10:54:52下载
- 积分:1
-
libsvm
支持向量机以统计学习理论作为坚实的理论依据,借助优化方法解决及其学习的一种新工
具.近年来,支持向量机受到人们的广泛关注,在理论研究和算法实现方面都有了很大的突
破,成为现代机器学习的热点课题.(Support vector machine(SVM)is a new approach that can solve machine learning
problem with optimization methods. In recent years,there has been a surge of interest in
SVM.It has achieved a prodigious progress in the theory research and algorithm
implement, thus has been an active research area in machine learning)
- 2011-05-02 22:15:57下载
- 积分:1
-
COFDM
COFDM diseñ o y simulacion
- 2010-06-16 03:37:51下载
- 积分:1
-
adpmedian
adaptive median filter
- 2009-03-09 17:45:09下载
- 积分:1
-
MIMORadarDOAEstimation
MIMO雷达模型下一种子空间谱估计方法,采用过估计的方法,以避免信源数估计的问题,直接对数据协方差矩阵进行变换,从而构造了信号子空间投影矩阵和噪声子空间投影矩阵,不需要像经典的MUSIC一样对其进行特征分解,完全避开了在一般非理想情况下MUSIC算法必须面对的识别小特征值与大特征值的麻烦,降低了复杂度,而且该方法不受快拍数的影响,在相干源情况下也能准确的估计目标的入射角,不会出现伪峰。(A subspace based DOA (Direction-Of-Arrival) estimation method for MIMO (Multiple-Input Multiple-Output) radar is studied in this paper. By transforming the data covariance matrix, we can construct the projection matrix of signal subspace and noise subspace. The computation complexity of the algorithm is reduced as it does not need to perform eigendecomposition. By using the over estimated theory, this algorithm avoid estimating the number of signal sources and can keep a good estimate performance in the case of lower SNR (Signal-to-Noise Ratios) and multi-target. )
- 2012-04-07 23:34:35下载
- 积分:1