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cifa1
实现haffuman编码的功能，可以正确运行仿真并实现正常的输出(Encoding functions to achieve haffuman)
- 2009-12-08 00:04:04下载
- 积分：1
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FTF
快速横向滤波器FTF用于系统参数估计，在matlab平台上开发GUI，用c语言编写，嵌套在matlab中。(FTF rapid horizontal filter system for parameter estimation, in Matlab platform GUI development, c prepared with language, which nested in Matlab.)
- 2020-12-10 23:19:18下载
- 积分：1
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blasius
Blasius Equation for Boundary layer theory problems. For calculating the boundary layer thickness and the velocity profile in a free stream in a pipe.
- 2013-11-17 05:15:29下载
- 积分：1
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Kalman
dc motor kalmen filter desgn
- 2018-03-06 04:10:15下载
- 积分：1
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Wgsxyz2enu
GPS坐标转换 xyz代表在wgs-84 xyz坐标系到相应的eun坐标(GPS coordinate conversion xyz representatives wgs-84 xyz coordinate system to coordinate the appropriate eun)
- 2010-10-26 17:11:22下载
- 积分：1
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PSO
该报告详细讲述了优化算法的原理，数学模型，实现方法，对于PSO的初学者将会大有裨益。(The report describes in detail the principle of optimization, mathematical models, implementation methods, for the PSO will be of great benefit to the beginner.)
- 2009-11-16 17:36:26下载
- 积分：1
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buck22
buck pid仿真
BUCK
的
PID
控制，调整参数，更深入理解
PID
控制
学习使用
MATLAB
，并在
MATLAB
中建立电力电子仿真电路模型(buck pid)
- 2020-07-04 13:00:02下载
- 积分：1
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zishiyingduixiao
自己编的，改进的自适应语音增强算法，且参考噪声与输入噪声不相关。(Own, and improved adaptive speech enhancement algorithm, and the reference noise and input noise are not relevant.)
- 2009-03-17 16:06:21下载
- 积分：1
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Main_Frequency_decoup_Opti_cdm1
悬置功能计算的，能量解耦的方法，优化及其位移的计算(The calculation of suspended function, energy decoupling method, optimization and calculation of displacement)
- 2015-08-06 09:25:49下载
- 积分：1
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Mahalanobis
马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)
- 2021-02-07 08:59:55下载
- 积分：1
