-
sift
SIFT算法,用MATLAB编写,不错的参考资料(SIFT algorithm, using MATLAB to prepare, a good reference)
- 2008-03-18 16:12:50下载
- 积分:1
-
ccsystems2e_Chapter07
现代通信系统(matlab版)(第二版)配套源代码
John G. Proakis等著 刘树棠 译 电子工业出版社出版(modern communication system (Matlab version) (2nd Edition) source code supporting John G. Proak Liushutang is waiting for the translation of the electronics industry published)
- 2007-05-17 21:21:56下载
- 积分:1
-
StandardFFT
对信号进行傅里叶变换,并绘出频谱图,功率谱,对数谱等。然后对信号进行反傅里叶变换恢复出原始信号,并绘出其各种谱图(The Fourier transform of the signal, and plot the frequency spectrum, power spectrum, the number spectrum. And inverse Fourier transform to recover the original signal and plot its various spectrum signal)
- 2013-03-06 11:13:26下载
- 积分:1
-
Nothing-ToEnvy
《我们最幸福:北朝鲜人民的真实生活》(英语:Nothing to Envy: Ordinary Lives in North Korea)是《洛杉矶时报》记者芭芭拉·德米克(Barbara Demick)访问6位来自朝鲜清津市的脱北者后,于2009年出版的半小说形式报道文学书籍。("We are most happy: the real life of the people of North Korea" (English: Nothing to Envy: Ordinary Lives in North Korea) is the "Los Angeles Times" reporter Barbara Demick (Barbara Demick) Access 6 from North Korea Chongjin after the defectors, published in 2009 in the form of semi-fiction books literature reports.)
- 2014-01-11 15:53:39下载
- 积分:1
-
knn1
K最邻近密度估计技术是一种分类方法,不是聚类方法。
不是最优方法,实践中比较流行。
通俗但不一定易懂的规则是:
1.计算待分类数据和不同类中每一个数据的距离(欧氏或马氏)。
2.选出最小的前K数据个距离,这里用到选择排序法。
3.对比这前K个距离,找出K个数据中包含最多的是那个类的数据,即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method.
It is not the best method, but it is popular in practice.
Popular but not necessarily understandable rule is:
1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov).
2. select the minimum distance from the previous K data, where the choice sorting method is used.
3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)
- 2017-08-09 21:06:38下载
- 积分:1
-
FPC_AS_v1.1.tar
a fixed point algorithm for solving nonlinear optimization problems which is essential for advanced image processing
- 2009-09-28 19:27:32下载
- 积分:1
-
extract_features_new
haar特征提取,共五类,本人编写,matlab实现(haar feature extraction, a total of five, I write, matlab implementation)
- 2011-05-13 11:38:05下载
- 积分:1
-
hhyui
programme d optimisation
- 2012-08-08 05:45:28下载
- 积分:1
-
带钢厚度预测系统代码
说明: 进行带钢厚度预测,通过提取带钢厚度的特征,输入svr进行预测。(Prediction of strip thickness)
- 2020-11-16 11:44:17下载
- 积分:1
-
Air-Mouse-Report
this report tells you how to build your own air mouse.
- 2011-04-21 02:10:04下载
- 积分:1