-
two_tone_lna
Simple demonstration of modeling intermodulation tones.
- 2010-09-19 14:34:06下载
- 积分：1
-
ahpmatlab.tar
AHP toolbox
AHPCALC Perform a complete AHP calculation.
AHPHIER One-step hierarchical assembly of AHP weighting vector.
AHPREORDER Internal reordering function called by AHPCALC.
AHPVECTOR Calculate the AHP ranking or weighting vector from an
AHP reciproal matrix.
AHPMAKEMAT Turn a vector of comparisons into an AHP reciprocal matrix.
Copyright (C) 2001 Michael J. Scott
- 2009-04-25 13:35:54下载
- 积分：1
-
roidpoly
在MATLAB环境中编程实现图形图像处理中的感兴趣区域的滤波处理(In the MATLAB programming environment graphics image processing of the filter region of interest)
- 2009-05-12 16:26:00下载
- 积分：1
-
xyz2ybc
基于matlab的XYZ坐标转换YBC坐标的代码(XYZ conversion YBC)
- 2020-11-25 13:09:38下载
- 积分：1
-
FBPForCT
FBP matlab codes for CT
- 2010-09-13 14:49:49下载
- 积分：1
-
imageprocessingmatlab
冈萨雷斯的数字图像处理书中的所有源码，方便 大家，不用再去一个一个模仿写进Matlab(Digital Image Processing Gonzalez all the source books, convenience to us, do not go to a copy of a written Matlab)
- 2011-01-10 10:23:40下载
- 积分：1
-
MOTOR-(P1-P140)
教材：电力电子和电力拖动控制系统的MATLAB仿真(P1-P140)(BOOK ABOUT MOTOR)
- 2012-05-03 20:59:04下载
- 积分：1
-
MATLAB-LPF-DESIGN
低通滤波器设计
绘制各种响应曲线
绘制输入信号曲线
绘制滤波后效果曲线(LPF DESIGN
ALL CURVES
INPUT SIGNAL
OUTPUT SIGNAL)
- 2015-04-29 09:42:44下载
- 积分：1
-
Relevance-Vector-Machine
说明： 相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。
它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method.
Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)
- 2021-03-23 21:20:53下载
- 积分：1
-
ANN02
说明： BP神经网络的设计实例（例子均来自于互联网，本人的工作只是将多个例子整合在一起）(BP neural network design example (examples are from the Internet, my work is integrated with multiple examples))
- 2011-03-15 14:58:38下载
- 积分：1
