-
put_option
复制看跌期权,主要包含期权结构、收益分析的内容(copy a put option)
- 2015-02-11 15:12:26下载
- 积分:1
-
matlab2
采用matlab语言编写,相变沸腾的LBM模拟。(Using the matlab language to write, phase transition boiling LBM simulations)
- 2020-12-19 10:59:09下载
- 积分:1
-
dssf
扩频接收机设计的MATLAB源代码,下载可以直接使用,深入学习直接扩频通信仿真。(Spread spectrum receiver design of the MATLAB source code, download direct access, in-depth study and direct spread spectrum communication simulation.)
- 2007-12-29 19:44:03下载
- 积分:1
-
MLP
multi layer perceptron il suffit juste de fair entrer l enter et sortie désiré
- 2010-05-30 05:04:03下载
- 积分:1
-
Gauss-signal-spectrum-estimation
将含有高斯白噪声的输入信号通过线性系统后(带阻滤波器)的输入、输出前信号的频谱、功率谱对比。同时给出了线性系统特性(Gaussian white noise, containing the input signal by a linear system (bandstop filter) of the input, before the output signal spectrum, the power spectrum of contrast. Also gives a linear system characteristics)
- 2013-09-15 21:34:34下载
- 积分:1
-
EC2DIY
文件中包含了歌曲名,专集名,歌手名,发行日期等信息.一个合格的播放器是可以将其提 取出来予以显示的.这些信息存在偶们称之为ID3的数据块中.下面贴上ID3的详细说明.
[4t1r.rar] - 用matlab开发的分布MIMO四发一收的仿真
(File contains the song name, album name, artist name, release dates and other information. A qualified player is extracted can be displayed.偶们existence of the information referred to as ID3 data block. Paste below ID3 detailed description. [4t1r.rar]- using matlab to develop the distribution of a closed four MIMO simulation)
- 2009-01-21 15:31:01下载
- 积分:1
-
Matlab_
MATLAB在通信调制解调中的应用 (MATLAB in the communication modem application)
- 2009-10-12 23:06:46下载
- 积分:1
-
Edge-detection-2
this is about edge detection, explaining the matlab implementation as a lecture
- 2010-05-22 15:21:31下载
- 积分:1
-
ModelObjRecog_Ver5.3.tar
Standard model object recognition matlab code(Standard model object recognition Matlab code)
- 2007-03-30 07:56:31下载
- 积分:1
-
GM_EM
不错的GM_EM代码。用于聚类分析等方面。( GM_EM- fit a Gaussian mixture model to N points located in n-dimensional
space.
Note: This function requires the Statistical Toolbox and, if you wish to
plot (for k = 2), the function error_ellipse
Elementary usage:
GM_EM(X,k)- fit a GMM to X, where X is N x n and k is the number of
clusters. Algorithm follows steps outlined in Bishop
(2009) Pattern Recognition and Machine Learning , Chapter 9.
Additional inputs:
bn_noise- allow for uniform background noise term ( T or F ,
default T ). If T , relevant classification uses the
(k+1)th cluster
reps- number of repetitions with different initial conditions
(default = 10). Note: only the best fit (in a likelihood sense) is
returned.
max_iters- maximum iteration number for EM algorithm (default = 100)
tol- tolerance value (default = 0.01)
Outputs
idx- classification/labelling of data in X
mu- GM centres)
- 2013-03-28 12:26:37下载
- 积分:1