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db2
说明： 经典信号小波分解matlab算法,注解很清楚，可以直接执行(classic wavelet for analysing signal)
- 2011-04-07 13:27:34下载
- 积分：1
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hough_l
对二维图像进行hough变换，并显示hough变换的结果(pair of two-dimensional images hough transform, and display the results hough transform)
- 2007-05-23 15:38:50下载
- 积分：1
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MATLAB
该程序用MATLAB实现了目标的跟踪，它是静态背景为核心的。(Realize the target tracking)
- 2011-08-05 15:53:02下载
- 积分：1
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Mersad_LPR
LPR detection for LB LP
- 2014-10-15 05:35:36下载
- 积分：1
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MMVDAyuMVDRboshuxingchengbijiao
MVDR与改进的MVDR方法数字波束形成比较(the comparisom of the method of MVDR and its improved method MMVDR to realeze beamforming)
- 2020-11-20 16:49:37下载
- 积分：1
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L5_answer
音频信号处理，实现自适应语音盲分离，输入两个信道的互相关音频信号，能互相分离出原始语音(Audio signal processing, adaptive voice separation, two channels of input audio signal cross-correlation, the original speech can be isolated each other)
- 2016-05-21 10:04:13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
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ukf
无迹卡尔曼滤波UKF是重要的非线性滤波方法。它采用UT变换的方法，不再近似系统的非线性方程，它仍然用高斯随机变量表示状态分布，不过是用特定选择的样本点加以描述，每个点叫一个高斯点，它从系统状态的概率密度函数中取出；然后，按系统的真实模型演化，得到非线性演化后的σ点，使得样本均值和样本方差是真实均值和真实方差的好的近似。
在这个程序中，实现了基于UKF的滤波方法，并且建立了两种仿真环境进行实验。(Unscented Kalman filter UKF is an important nonlinear filtering method. It uses the UT transformation method, no similar system of nonlinear equations, it still says the state with the Gaussian distribution of random variables, but the specific choice is to describe the sample points, each point is called a Gaussian point, it is from probability density function of the system state to remove then, according to the true model of evolution of the system obtained after the nonlinear evolution of σ point, making the sample mean and sample variance is true variance of the mean and the true good approximation.
)
- 2011-05-24 17:09:14下载
- 积分：1
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histndim
matlab编写画数据的柱状图，比较分析时有用(Matlab data column, comparative analysis is useful when)
- 2007-03-28 21:18:29下载
- 积分：1
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sefaz-induction
3phase fault in induction motor
- 2012-07-29 14:47:27下载
- 积分：1
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