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print
说明： matlab绘图功能，plot，ezplot等等函数的用法及各自的特点(matlab graphics, plot, ezplot function usage, etc. and their respective characteristics)
- 2008-09-17 12:41:48下载
- 积分：1
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Xiao
Xiao信道模型的建立及仿真，还有自相关函数的仿真结果(Xiao channel model simulation correlated function)
- 2021-03-25 16:19:13下载
- 积分：1
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ImageProcess2009-1-28
三维重构技术，里面有详细的介绍。其开发环境matlab(Three-dimensional reconstruction technique, which has a detailed introduction. Their development environment matlab)
- 2009-04-06 11:01:11下载
- 积分：1
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Matlabmangxinhao
该文件能够实现盲信号的分离，分离效果很好，输入为两种信号的非线性叠加，经过仿真效果很明显！(The document can achieve blind signal separation, separation a good effect, input non-linear superposition of two kinds of signals, through simulation effect is obvious!)
- 2009-11-12 09:56:04下载
- 积分：1
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ica_matlab.tgz
线性及卷积混合信号盲源分离论文及算法
全是算法,看不懂也不要下了,慢慢看,免费的 (Linear and mixed-signal convolution papers and blind source separation algorithms are algorithms, do not know do not look down, and slowly watch, free)
- 2008-05-31 13:16:36下载
- 积分：1
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pinghualvbo
信号平滑滤波代码,用于平滑滤波处理，由Matlab编成(Signal smoothing filter code for smoothing filter processing, compiled by the Matlab)
- 2010-12-24 13:10:56下载
- 积分：1
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costas_ClosedLoop_IIR
基于IIR滤波器的costas环的simulink实现，区别于不同的costas环，可以实现通信系统的载波同步，可以直接在matlab上打开实现，对于通信系统的同步问题的学习和设计(IIR filter based on simulink realization of costas loop, different from the various costas loop, carrier communication system can be achieved simultaneously, you can open directly in matlab implementation, the synchronization of communication systems for the study and design)
- 2011-05-12 15:55:00下载
- 积分：1
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Lucas-Kanade-1
经典光流算法LK改进算法的matlab源码。希望对大家有帮助。(LK classical optical flow algorithm improved algorithm matlab source code. I hope to help.)
- 2011-07-21 17:01:25下载
- 积分：1
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LPCC
this is lpcc matlab code
- 2013-09-19 05:38:12下载
- 积分：1
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histnorm
HISTNORM Histogram normalized
[...] = HISTNORM(...) works like HIST, but the frequency is normalized
so that area sum is 1.
Bonus usage!
[...] = HISTNORM(..., plot ) plots and returns the output arguments.
Be sure plot is the last argument.
Example:
data = randn (10000, 1)
[xo,no] = histnorm(data, 101, plot )
hold on
plot (no, normpdf(no), r )
hold off
See also: HIST.
- 2011-11-18 21:12:29下载
- 积分：1
