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ofdmmatlab
Information to do OFDM using MATLAB application.
- 2009-05-19 14:31:41下载
- 积分：1
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在TDOA定位系统中，运用平滑的的IMM算法对机动目标进行被动跟踪 ITDOOA Smoothn
在TDOA定位系统中，运用平滑的的IMM算法对机动目标进行被动跟踪
(TDOA positioning system, the use of smooth IMM algorithm for passive tracking of maneuvering targets)
- 2012-09-15 22:26:17下载
- 积分：1
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capturing
Capture a video from video input
- 2009-03-24 16:20:29下载
- 积分：1
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QoS-multicast-Matlab
关于QoS组播路由的Matlab源代码，有兴趣的网友可以参考一下。(QoS multicast routing on the Matlab source code, interested users can refer to.)
- 2008-01-07 14:37:41下载
- 积分：1
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dspAutoAdaptFilterAndAR
说明： 该例子主要解释了自适应滤波器的应用，对于信号处理的应用有很好的帮助理解的作用(explain the main examples of adaptive filter applications, for signal processing applications with the help of a very good understanding of the role)
- 2006-05-02 02:03:17下载
- 积分：1
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multiple_channel
在多径的条件下，对均衡结构DFE的基于matlab的LMS算法(In the multi-path conditions, the equilibrium structure of the DFE-based LMS algorithm matlab)
- 2020-12-01 14:59:27下载
- 积分：1
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duffing-poincare
基于matlab的源程序，用于绘制非线性方程杜芬方程的庞加莱截面(Based on matlab source program, is used to draw the poincare section of nonlinear equations-duffing equation)
- 2014-11-16 09:58:17下载
- 积分：1
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PM
说明： 二阶相位调制matlab精确仿真 二阶相位调制matlab精确仿真 (二阶相位调制matlab精确仿真 )
- 2013-12-24 22:22:14下载
- 积分：1
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combination
make a combination between rectangle and triangle with matlab
- 2015-04-08 10:24:26下载
- 积分：1
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Process
Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.
- 2013-01-01 20:25:49下载
- 积分：1
