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300MATLABEXAMPLE
300个MATLAB常用函数的例子。说明比较详细，是学习的好东西(300 MATLAB Examples of commonly used functions. Explain in greater detail, is a good thing to learn)
- 2009-10-18 23:03:49下载
- 积分：1
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denoising_use_wavelet
说明： 该进的小波去噪在图像处理中的应用
效果很明显(Wavelet Denoising of the advanced applications in image processing effect is obvious)
- 2010-04-13 12:48:22下载
- 积分：1
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jiaozheng2
一个单位负反馈系统的根轨迹法超前校正。可直接在matlab中打开并运行。(A negative feedback system unit root locus method leading correction. Directly in matlab open and run.)
- 2013-10-29 20:36:45下载
- 积分：1
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Fundamentals-of-Kalman-Filtering
卡尔曼滤波的工程应用及源代码实现(Kalman filter engineering applications and source code)
- 2015-01-12 23:50:16下载
- 积分：1
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高阶谱工具箱
说明： 基于matlab中的高阶谱分析信号处理工具箱(Matlab-based spectrum of high-end signal processing toolbox)
- 2006-01-18 18:13:40下载
- 积分：1
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information-fusion-algorithm
说明： 本文利用模糊理论中的高斯隶属
度函数来获得模糊观测下具有概率特性的似然函数，并且由此似然函数得到每个传感器提供信息的可信度；再将各传感器的可
信度转化成基本概率赋值函数即mass 函数；最后利用证据理论对多传感器信息进行融合。对目标识别的仿真试验表明该方法获
得的结果比直接结果具有更高的精度和可靠性。(The method uses fuzzy theory in the Gaussian
fuzzy membership function to obtain a probable characteristic under observation likelihood function，and the resulting likelihood
function gets the credibility of the information provided by the sensors.Then the reliability of each sensor is changed
to a mass function.Finally，multi-sensor information is combined by using evidence theory.Simulation of target recognition
shows that the results obtained have higher accuracy and reliability.)
- 2011-03-22 11:36:08下载
- 积分：1
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CA_simulation
Cellular Learning Automata Simulation
- 2013-08-21 13:03:03下载
- 积分：1
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painting
Beginning a source photograph, this demo will create an image with a hand-painted appearance. It can do this in three distinct styles, Impressionist , Expressionist and Pointillist .
- 2014-11-11 18:42:54下载
- 积分：1
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pointsclouds_smooth
实现MATLAB对茶壶采集的的点云数据网格生成，并细化(
MATLAB to achieve the collection of the teapot point cloud data grid generation, and refinement)
- 2020-10-21 19:37:25下载
- 积分：1
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06387785
arious linear time-invariant electromagnetic systems are
most conveniently analyzed in the frequency domain
because there exist mature computational techniques (e.g.,
[1]) and related software (e.g., [2, 3]). Most measurements of
antennas and microwave systems are also performed in the
frequency domain (using vector network analyzers), yielding
a discrete set of frequency-domain data. In order to obtain the
time-domain response of such systems
- 2013-02-19 16:06:21下载
- 积分：1
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