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quin2
另外一种QUIN插值频率估计算法。matlab代码(QUIN another interpolation algorithm for frequency estimation. matlab code)
- 2009-07-20 18:32:57下载
- 积分：1
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GAL_ANC
说明： 噪声主动控制之基于随机梯度的格型滤波算法；基于随机梯度的格型滤波算法(Active noise control based on stochastic gradient lattice filter algorithm based on stochastic gradient lattice filter algorithm)
- 2011-04-09 19:13:09下载
- 积分：1
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Learning-Vector-Quantization
Learning Vector Quantization
- 2015-12-23 15:41:09下载
- 积分：1
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log10(x)
Fixed-point base-2 logarithm (DW_log2)
// Computes the base-2 logarithm of a fixed point value in the
// range [1,2).
- 2014-09-11 19:58:10下载
- 积分：1
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5-(2)
To support wireless communication : MIMO
- 2013-12-24 21:54:18下载
- 积分：1
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fir_filter
matlab FIR滤波器产生函数，通过设置参数，形成滤波器系数(FIR filter function)
- 2015-03-16 19:36:39下载
- 积分：1
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mpso
改进粒子群算法摄像机标定，对所求的初始参数进行非线性优化,得到最终的摄像机参数精确值(Camera Calibration Using Modified Particle Swarm Algorithm， the accuracy, stability and global search ability are obviously enhanced compared with the traditional calibration algorithm. Nonlinear optimization to the desires of initial parameters, we get the final accurate camera parameters)
- 2020-06-29 09:40:01下载
- 积分：1
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Matlab-programming
说明： 这是一本Matlab编程的书籍，详尽叙述了Matlab的基础知识和开发环境。(作者是：Stephen J.chapman)(This is a Matlab programming books, a detailed description of the basics of Matlab and the development environment. (The author is: Stephen J.chapman)
- 2011-03-07 13:46:32下载
- 积分：1
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677676767
虚拟频谱分析仪。vi可以好好的学习参照设计(Virtual spectrum analyzer. vi)
- 2011-05-12 14:26:02下载
- 积分：1
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fecgm
独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE.
Jade performs `Source Separation in the following sense:
X is an n x T data matrix assumed modelled as X = A S + N where
o A is an unknown n x m matrix with full rank.
o S is a m x T data matrix (source signals) with the properties
a) for each t, the components of S(:,t) are statistically
independent
b) for each p, the S(p,:) is the realization of a zero-mean
`source signal .
c) At most one of these processes has a vanishing 4th-order
cumulant.
o N is a n x T matrix. It is a realization of a spatially white
Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance
sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE.
Jade performs `Source Separation in the following sense:
X is an n x T data matrix assumed modelled as X = A S+ N where
o A is an unknown n x m matrix with full rank.
o S is a m x T data matrix (source signals) with the properties
a) for each t, the components of S(:,t) are statistically
independent
b) for each p, the S(p,:) is the realization of a zero-mean
`source signal .
c) At most one of these processes has a vanishing 4th-order
cumulant.
o N is a n x T matrix. It is a realization of a spatially white
Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance
sigma. This is probably better than no modeling at all...)
- 2010-05-27 23:08:51下载
- 积分：1
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