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IIR_cheb1ap
本代码设计的切比雪夫1型滤波器，与MATLAB中的切比雪夫滤波器不同的是输出为未归一化的零极点，输入只要是通带频率，通带波动，截止频率，阻带衰减即可，更便于抄做(The code design of Chebyshev Type 1 filter, and MATLAB in the Chebyshev filter output is not different is that the poles and zeros of the normalized input as long as the pass-band frequency, pass-band fluctuations, cutoff frequency, stopband attenuation can be more easily copied to do)
- 2010-11-13 20:06:38下载
- 积分：1
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Sommaire
commande vectorielle
- 2010-02-17 22:48:31下载
- 积分：1
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FDD
matlab编写的频域分解法程序，可以在此基础上进行改进.(matlab prepared frequency domain decomposition procedures can be improved on this basis.)
- 2021-03-06 13:29:31下载
- 积分：1
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演化博弈
演化博弈 数值分析 图形展示等(game theory)
- 2018-07-15 10:00:57下载
- 积分：1
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信号子空间变换算法(SST)的聚焦矩阵
说明： 信号子空间变换算法(SST)的聚焦矩阵是利用各频率点与参考频点之间信号子空间的关系导出的.(The focus matrix of signal subspace transform (SST) algorithm is derived from the relationship between the signal subspace of each frequency point and the reference frequency point.)
- 2019-03-05 09:48:02下载
- 积分：1
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gaikeng_v67
鲁棒性好，性能优越，利用自然梯度算法，在MATLAB中求图像纹理特征。( Robustness, superior performance, Use of natural gradient algorithm, In the MATLAB image texture feature.)
- 2016-12-21 15:26:48下载
- 积分：1
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Slide_Matlab_CN_BI
boost environment to apply time sync files all ready
- 2010-09-10 17:55:44下载
- 积分：1
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Ycbcr
simple skin segmentation YCbCr
- 2009-11-30 15:13:58下载
- 积分：1
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NLMS
若不希望用与估计输入信号矢量有关的相关矩阵来加快LMS算法的收敛速度，那么可用变步长方法来缩短其自适应收敛过程，其中一个主要的方法是归一化LMS算法（NLMS算法），变步长 的更新公式可写成
W（n+1）=w（n）+ e（n）x（n）
=w（n）+ （3.1）
式中， = e（n）x（n）表示滤波权矢量迭代更新的调整量。为了达到快速收敛的目的，必须合适的选择变步长 的值，一个可能策略是尽可能多地减少瞬时平方误差，即用瞬时平方误差作为均方误差的MSE简单估计，这也是LMS算法的基本思想。
(Want to estimate if the input signal vector and the relevant matrix to speed up the convergence rate of LMS algorithm, then the variable step size method can be used to shorten its adaptive convergence process, one of the main method is normalized LMS algorithm (NLMS algorithm) , variable step-size update formula can be written W (n+ 1) = w (n)+ e (n) x (n) = w (n)+ (3.1) where, = e (n) x (n) the right to express filter update vector iterative adjust the volume. In order to achieve the purpose of fast convergence, we must choose the appropriate value of variable step size, a possible strategy is as much as possible to reduce the instantaneous squared error, which uses the instantaneous squared error as the mean square error MSE of the simple estimate, which is the basic LMS algorithm思想.)
- 2021-03-06 12:39:31下载
- 积分：1
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bilinear
线性插值，matlab函数计算，比较适合初学者学习。(Linear interpolation, matlab function calculation, suitable for beginners to learn.)
- 2011-05-05 12:03:35下载
- 积分：1
