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meanshiftSmoothing
主要应用Matlab实现均值漂移算法在图像平滑中应用(Application of Matlab to achieve the major shift algorithm applied in image smoothing)
- 2010-11-29 11:44:15下载
- 积分：1
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Proficient-in-GUI-GUI-editor
本书主要介绍了matlab的图形绘制和用户界面实现技术，书中通过大量例程深入浅出的介绍了图形用户界面的设计和编程。(This book mainly introduces the matlab graphics and user interface technology, the book tells his story through a lot of routines of the graphical user interface design and programming are introduced.)
- 2014-08-26 17:24:08下载
- 积分：1
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pn-fuzzy-in-biometric
this file is about fuzzy logic system
- 2013-11-02 19:10:06下载
- 积分：1
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duff_for_sin
基于maglab/simulink平台设计的利用duffing振子检测微弱正弦信号，非常好的一个源程序，自己亲自调试，运行在matlab2012b上没有问题，仿真步长0.01s,采用RK四阶算法。若有问题，欢迎指教(Based maglab/simulink platform using duffing detect weak sinusoidal oscillator signal, a very good source, personally commissioning, operation without problems on matlab2012b, simulation step 0.01s, using the fourth-order RK algorithm. If questions, please advise)
- 2014-01-04 09:54:06下载
- 积分：1
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supportvectormachine
svm 支持向量机代码 support vector machine(support vector machine svm)
- 2010-08-09 11:25:25下载
- 积分：1
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vector_quantization-algorithm
Vector quantization algorithm is one of the best clustering algorithms for multidimensional signals
- 2011-04-23 22:20:30下载
- 积分：1
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NNan
基于matlab平台实现点云数据边界提取以及拟合功能的小程序(Point cloud data boundary extraction fitting function procedure based on matlab platform)
- 2020-10-12 23:57:32下载
- 积分：1
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Characterizing_the_Statistical_Properties_of_Mutua
MIMO-OFDM系统无线衰落信道容量分析，适合做无限通信的研究(Characterizing the Statistical Properties of Mutual Information in MIMO Channels)
- 2009-06-12 22:30:33下载
- 积分：1
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adaptive_filter
基于LMS的自适应滤波器的算法实现，该算法以数字调制信号为理想信号，并在已知载波频率的基础上，通过自适应滤波器实现数字调制信号的跟踪。(Adaptive Filter Based On LMS Algorithm)
- 2011-07-04 21:48:31下载
- 积分：1
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sons
Compressive sensing (CS) has been proposed for signals with sparsity
in a linear transform domain. We explore a signal dependent
unknown linear transform, namely the impulse response matrix operating
on a sparse excitation, as in the linear model of speech production,
for recovering compressive sensed speech. Since the linear
transform is signal dependent and unknown, unlike the standard
CS formulation, a codebook of transfer functions is proposed in a
matching pursuit (MP) framework for CS recovery. It is found that
MP is efficient and effective to recover CS encoded speech as well
as jointly estimate the linear model. Moderate number of CS measurements
and low order sparsity estimate will result in MP converge
to the same linear transform as direct VQ of the LP vector derived
the original signal. There is also high positive correlation between
signal domain approximation and CS measurement domain
approximation for a large variety of speech spectra.
- 2020-12-03 13:19:24下载
- 积分：1
