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KFCMClust
基于matlab的核模糊C-means聚类算法(KFCM),(Matlab-based nuclear Fuzzy C-means clustering algorithm (SN))
- 2007-03-24 09:46:00下载
- 积分：1
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NLMS2
帮助实现N阶自适应滤波器的滤波原理，通过读入一组信号并对其进行去噪的处理，通过频谱图看出其良好的滤波效果从而发现N阶自适应滤波器的优点(N-order adaptive filter to help achieve the principle of filtering, by reading into a signal and its de-noising processing, through the spectrum to see their good filtering effect to discover the advantages of adaptive filter of order N)
- 2011-07-28 09:23:29下载
- 积分：1
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fast_sc1
基于patch块的稀疏编码的matlab代码的实现，涉及到基和系数最小化的优化问题(Based on patch block sparse coding matlab code to achieve that relates to the base and the coefficient minimization optimization problem)
- 2013-10-01 20:10:03下载
- 积分：1
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lvqmain
lvq and neural network
- 2010-12-26 01:18:16下载
- 积分：1
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code
基于matlab的完整的中值滤波代码基于matlab的完整的中值滤波代码(Based on the complete matlab code median filter matlab-based complete median filter code)
- 2010-05-28 14:46:00下载
- 积分：1
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NonlinearFittingTID
function yhat = logistic(bayta,X)
- 2013-01-30 21:51:37下载
- 积分：1
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CIC
CIC滤波器的原理以及FPGA的实现，CIC滤波器的仿真(CIC filter FPGA implementation of the principle and, CIC filter simulation)
- 2011-05-17 16:54:56下载
- 积分：1
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matlab
IIR一阶低通滤波器
一阶高通滤波器
Notch 嵌波滤波器
Peak 滤波器
IIR低通滤波（Butterworth）
IIR高通滤波（Butterworth）
IIR带通滤波（Butterworth）
IIR带阻滤波（Butterworth）
IIR低通滤波（chebyshev 1）
IIR低通滤波（chebyshev 1）
chebyshev 中用到的函数 cheby.m(First-order IIR low-pass filter the first-order high-pass filter Notch filter inlay Peak wave filter IIR low-pass filter (Butterworth) IIR high-pass filtering (Butterworth) IIR band-pass filter (Butterworth) IIR band-stop filter (Butterworth) IIR low-pass filter (chebyshev 1) IIR low-pass filter (chebyshev 1) chebyshev function used cheby.m)
- 2020-06-28 19:40:01下载
- 积分：1
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advancenewton
说明：
改进的牛顿法求解：
方程的构造方法:给出[0,1]区间上的随机数(服从均匀分布)作为方程的根p*.
设你的班级数为a3,学号的后两位数分别为a2与a1,从而得到你的三次方程
例如:你的31班的12号,则你的方程是21x3+60x2+2x+a0=0的形式.
方程中的系数a0由你得到的根p*来确定.
(improve Newton's method : Construction of the equation : given interval [0,1] on the random number (subject to uniform distribution) as the root equation p*. set up your classes at a3, after learning of the double-digit for a1 and a2, so you get the three equations for example : Your 31 classes on the 12th, then your equation is 21x3 60x2 2x a0 = 0 forms. the equation coefficients a0 you get from the root of p* to determine.)
- 2005-12-03 18:16:08下载
- 积分：1
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GM(1-1)
用MATLAB的灰色预测GM（1，1）模型
(Grey with a MATLAB-GM (1,1) model)
- 2011-05-14 21:45:51下载
- 积分：1
