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C_C
C_C方法,本函数用于求延迟时间tau和时间窗口tw(C_C method, this function is used to find the delay time tau and the time window tw)
- 2014-11-25 15:03:48下载
- 积分:1
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rs
说明: 基于建筑抗震设计规范的反应谱(地震影响系数曲线)(Response Spectrum based on anti-seismic code for buildings)
- 2010-06-13 21:35:53下载
- 积分:1
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pca
关于PCA方法的人脸识别的MATLAB算法,用于检测人脸部(PCA method for face recognition on the MATLAB algorithm for detecting human face)
- 2007-11-14 21:11:36下载
- 积分:1
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2.2
噪声信号中正弦信号的现代法频谱分析,在不同周期不同长度和不同信噪比下的结果(Sinusoidal signal in noise spectrum analysis of modern law, in different periods of different lengths and different signal to noise ratio results)
- 2011-11-23 10:24:21下载
- 积分:1
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OFDM
使用MATLAb采用QPSK和16—QAM调制的OFDM仿真(Using matlab QOSK and 16 QAM modulation OFDM simulation)
- 2020-07-01 07:20:01下载
- 积分:1
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htmltoolbox
Multiscale Shape Analysis (MSA) Matlab Toolbox
- 2009-10-22 16:34:08下载
- 积分:1
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kpca_origin
Kernel PCA toy example Nonlinear component analysis as a kernel Eigenvalue problem
- 2009-11-18 01:00:49下载
- 积分:1
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D
说明: D模型数据包罗分析法,一种数学建模的实用方法,对你的比赛,和应用很有帮助(A good mathematical modeling tool, It is very helpful to your study MATLAB)
- 2014-09-23 18:33:29下载
- 积分:1
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Digit-Recognizer
steps -
1. run DigitRecognizer.m
2. mode to run
a. Test Mode
input pad will open with axes having a red dot.
left-click mouse and drag(dont unclick) mouse
to draw a numeric digit.
if you unclick mouse it won t draw anything.
if you want to continue drawing, click again on
any red place on axes and start dragging.
once done, click submit.
it will give you result.
b. Training Mode
input pad will open with axes having a red dot.
draw a number and click submit.
when promted, enter the value you drawn.
if you wish to continue training, click YES and
repeat.
if you click No, a feedforward neural network
will be trained and saved, you can test it.
- 2014-09-28 08:12:20下载
- 积分:1
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disteu
DISTEU Function
DISTEU Pairwise Euclidean distances between columns of two matrices
Input:
x, y: Two matrices whose each column is an a vector data.
Output:
d: Element d(i,j) will be the Euclidean distance between two
column vectors X(:,i) and Y(:,j)
Note:
The Euclidean distance D between two vectors X and Y is:
D = sum((x-y).^2).^0.5
- 2013-03-15 15:11:01下载
- 积分:1