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概率论与应用数理统计
概率论与应用数理统计十就是研究随机现象统计规律性的一门科学，本章学习随机 及其发生的概率，多维随机变量的分布规律，参数估计与假设检验，方差分析与回归分析等概率统计的基本方法以及它们在MATLAB中实现方法。
- 2022-04-09 00:48:24下载
- 积分：1
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ChaosToolbox1p0_trial
matlab 程序 完整的混沌理论工具箱，内附有解释文件，模拟数据(matlab program complete chaos theory toolbox, containing documents to explain, simulation data)
- 2010-05-09 15:14:15下载
- 积分：1
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wavenn.m
小波神经网络交通流量预测，采用BP算法优化参数(Traffic Flow Prediction Based on Wavelet Neural Network)
- 2020-06-16 03:00:01下载
- 积分：1
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相关峰
说明： 自适应时延估计计算时延，主要是利用宽带信号完成定位(Adaptive delay estimation algorithm simulation, including ETDGE and improved algorithms ETDE)
- 2020-07-09 16:50:08下载
- 积分：1
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77433642fenshuiling_2
图像分割中的分水岭算法，且用matlab实现的。(The watershed segmentation algorithm, and implemented with matlab.)
- 2010-06-06 16:11:55下载
- 积分：1
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KolmogorovEntropy_GP
说明： 一种简单有效的测度熵替代方法——近似熵(approximate entropy)方
法.应用以上方法对Logistic映射复杂度进行了分析.结果表明Lyapunov指数和测度熵的值与复
杂度基本呈线性关系,分维数与复杂度的函数关系尚难确定,且与Lyapunov指数、测度熵之间的关
系也不明确.
( Approximate entropy (ApEn) method
is also studied. They are applied to analyze the complexity of Logistic map. The conclusion is
that Lyapunov exponent and K-S entropy have approximately linear relation with complexity,
while it is difficult to determine the relation between fractal and complexity.
)
- 2021-02-20 22:19:43下载
- 积分：1
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MatlabClassic-tutorial
加你如何快速的熟悉和掌握matlab语言，以及在矩阵运算和数据分析方面的应用(Plus you how to quickly become familiar with and master the matlab language, as well as matrix operations and data analysis applications)
- 2013-07-30 17:55:41下载
- 积分：1
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手写数字识别
手写体数字识别的基本过程：系统主要由手写体数字识别的训练过程和识别过程组成：，训练过程和识别过程均包括预处理、特征提取和模式识别三部分。一般包括如下过程：获取数据（用计算机来获取或显示数据）→预处理（去噪声，提取有用信息，对其他因素所造成的退化进行复原）→特征提取(对待测数字提取明显特征，与样板进行比较)→选择分类→识别输出（输出最终数字）。
- 2022-07-24 05:25:16下载
- 积分：1
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dbtR2-19
雷达阵列信号信号处理工具箱,包括主动雷达和被动雷达雷达信号的建模与仿真,还有不少好的例子.(Radar Array Signal Signal Processing Toolbox, including the active radar and passive radar signal modeling and simulation, there are many good examples.)
- 2009-09-07 22:26:50下载
- 积分：1
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histogramequalization
In histogram equalization we are trying to maximize the image contrast by applying a gray level transform which tries to flatten the resulting histogram. The gray level transform is a scaled version of the original image s cumulative histogram. That is, the graylevel transform T is given by T[i] = (G-1)c(i), where G is the number of gray levels and c(i) is the normalized cumulative histogram of the original image.
- 2011-05-25 13:03:31下载
- 积分：1
