-
work4
说明： 数学建模竞赛：露天矿的开采问题，运用lingo与matlab编程，内附代码(Mathematical Contest in Modeling: Open-pit mining problem, the use of lingo with the matlab programming, containing code)
- 2008-09-19 22:25:54下载
- 积分：1
-
gsc_lms
GSC based beamforming
- 2020-11-02 16:19:53下载
- 积分：1
-
shuzixinhaochuli-shiyan3-matlab
数字信号处理 实验3 matlab代码 东南大学(Digital Signal Processing Experiment 3 matlab code Southeast University)
- 2015-03-27 20:07:26下载
- 积分：1
-
3132345saf
CR协作频谱感知仿真，感知算法仿真，非常详细(CR collaborative spectrum sensing simulation)
- 2009-03-30 22:00:50下载
- 积分：1
-
rls
rls算法,实现含噪声信号的消噪，其噪声为高斯白噪声加入，绘制了滤波前后的波形图(rls algorithm to achieve denoising noisy signals, the noise is Gaussian white noise is added, drawing the waveforms before and after filtering)
- 2010-06-08 16:20:19下载
- 积分：1
-
TheResearchofSpatialSpectrumEstimationAlgorithminS
智能天线技术是第三代移动通信系统的关键技术之一，也是国内外热门的研究课题。由于无线移动通信的信道传输环境具有复杂性和不确定性，存在多径衰落和时延扩展，因此造成了符号间串扰、同信道干扰、多址干扰等，这些干扰降低了链路性能和系统容量，智能天线技术是解决以上问题的方法之一。 本文首先阐述了智能天线和白适应波束形成的基本理论，然后对自适应算法进行了研究。对一些基本的自适应算法最小均方算法、恒模算法及递推最小均方算法进行了分析讨论，用计算机仿真的结果论证了算法的性能。针对相干干扰介绍了空间平滑技术，对传统的相干干扰抑制方法-空间平滑法进行了分析，采用改进算法有效降低了空间平滑算法的运算量。对信号波达方向(DOA)的估计是智能天线研究的另一关键问题。第四章在介绍了阵列信号处理方法的基础上，先简单介绍了Bartlett、Capon、MUSIC等空间谱估计算法，分析了信源数目过估计与欠估计情况下的MUSIC算法性能，提出一种改进算法，在信源数目有误差的情况下该算法的性能良好。第五章针对多径干扰环境，在分析MMUSIC算法的基础上，本文提出了基于低秩矩阵逼近法的改进MUSIC算法(In this paper, firstly, the author illustrates the principles of smart antenna and adaptive beam forming, and then introduces some typical adaptive algorithms, the LMS ,CMA and RLS algorithms are analyzed and discussed and simulate them in the computer to prove their capability. but they have the disadvantage of high complexity, so they are not fit for practice. The paper analyses the conventional method rejecting spatial smoothing coherent interfering signals, which is spatial smoothing technique)
- 2009-07-02 22:43:06下载
- 积分：1
-
Frame_2D
用matlab求框架的位移，多自由度发，有限元素(Frame------p73 example2.8 Yijun Liu Introduction to FEM & Frequencies calculation)
- 2010-03-08 12:18:31下载
- 积分：1
-
plane-rotation
Advanced correlation filter synthesis algorithms to achieve rotation invariance are described. We use a specified form for the filter as the rotation invariance constraint and derive a general closed-form solution for a multiclass rotation-invariant filter that can recognize a number of different objects. By requiring the filter to minimize the average correlation plane energy, we produce a multiclass rotation invariant (RI) RI-MACE filter, which controls correlation plane sidelobes and improves discrimination against false targets. To improve noise performance, we require the filter to minimize a weighted sum of correlation plane signal and noise energy. Initial test results of all filters are provided
- 2013-08-07 19:49:12下载
- 积分：1
-
phaseeeg
EEG signal analysez in matlab We hope to useful
- 2011-05-29 01:13:02下载
- 积分：1
-
juleifeixi
在MATLAB中如何实现聚类分析原程序代码(In MATLAB, how to cluster analysis of the original program code)
- 2011-08-08 18:37:40下载
- 积分：1
