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ear2
国际会议上的关于人耳图像识别的论文：Multi-view Ear Recognition Based on B-Spline Pose Manifold Construction (Multi-view Ear Recognition Based on B-Spline Pose Manifold Construction )
- 2009-05-12 14:57:50下载
- 积分：1
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field
simulation of Field-oriented control (FOC) of induction motor using chopper
- 2014-08-09 02:09:11下载
- 积分：1
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NaiveBayes
Naive Bayes algorithm for data mining
- 2014-11-24 06:27:23下载
- 积分：1
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turbo-codes
本程序是基于编码率1/3条件Turbo编码代码，通过设置不同的解码的迭代次数，比较它们之间BER的性能。大部分是功能函数，其中有主函数调用。运行时间有些长，耐心等待，具体可分析一下。(This program is based on Turbo encoding code rate 1/3 coding conditions, by setting different decoding iterations, BER performance comparison between them. Most of the performance function, which has the main function calls. Specific analysis.)
- 2014-12-04 11:00:14下载
- 积分：1
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dengkelai
说明： 机械振动，邓克莱法求解结构的模态（固有频率，振型）(mechanical vibration,dengkelai)
- 2020-12-24 21:39:04下载
- 积分：1
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greedy_method
贪婪算法，分别考虑按单位价值，按目标函数，按容量的排序，思路清楚。(Greedy algorithm, to consider the value per unit, according to the objective function, according to the capacity of the sort of thinking clearly.)
- 2011-08-21 23:16:04下载
- 积分：1
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fangzhen
实验一 双极性矩形随机信号的归一化功率谱密度一
1.1 功率谱密度简介
平稳过程的任何一个非零样本函数的持续时间为无限长，显然都不满足绝对可积和总能量有限的条件。因此，它的傅里叶变换不存在即没有频谱函数。所以我们用功率谱密度来表述其频谱特性。
随机过程的任一实现是一个确定的功率型信号。而对于任意的确定功率信号f(t)，它的功率谱密度为：
式中， 是f(t)的截短函数 对应的频谱函数。f(t)是平稳随机过程 的一个实现。而随机过程某一个实现的功率谱密度不能作为过程的功率谱密度。过程的功率谱密度应该看作是任一实现的功率谱密度的统计平均，即
虽然该式给出了平稳随机过程的功率谱密度，但我们通常都不利用这个式子来计算功率谱。我们知道，确知的非周期功率信号的自相关函数与功率谱密度是一对傅里叶变换。对于平稳随机过程，也有类似的关系，即
和
对于平稳随机过程我们通常先求出其自相关函数再利用上式求出其功率谱密度。
1.2 实验要求
1.了解平稳随机信号功率谱的概念及计算方法
2.仿真不同占空比，等概、非等概双极性矩形随机信号的归一化功率谱密度
3.分析不同信号所包含的频谱分量，有无直流分量和定时分量信息
(A pair of rectangular random experiment polarity signal sample return a nonzero function of any duration power spectral density of a 1.1 power spectral density of a stationary process Introduction of infinite length, apparently not satisfied absolutely integrable and the total energy of the limited conditions. Therefore, it is the Fourier transform of the spectrum that does not function does not exist. Therefore, we use the power spectral density to express their spectral characteristics. Any random process is a realization of a certain type signal power. For arbitrarily determined power signal f (t), its power spectral density is: wherein, is f (t) is a function corresponding to the truncated spectrum function. f (t) is a stationary random process of realization. The random process to achieve a certain power spectral density can not serve as the power spectral density of the process. Power spectral density process should be seen as a statistical average power spectral density of any r)
- 2014-11-30 20:39:29下载
- 积分：1
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BSCA
关于线性分类器的分类问题 如何将不同种类的对象分离(Linear classifier)
- 2012-01-10 12:29:13下载
- 积分：1
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Intelligent_Algorithm
说明： 搜集了几种人工只能算法，基于Matlab平台编写，包括聚类、统计稀疏、最小范数法、DOA、投影追踪、稀疏贝叶斯等(Several artificial algorithms are collected and compiled on the platform of matlab, including clustering, statistical sparseness, minimum norm method, DOA, projection tracking, sparse Bayesian, etc.)
- 2019-06-15 16:52:47下载
- 积分：1
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matlabfortsp
简单旅行商或货郎担问题的matlab程序实例主代码，具有易学易用的特点(Simple traveling salesman or a traveling salesman problem matlab program example main code, with easy to learn and easy to use)
- 2011-05-01 11:05:11下载
- 积分：1
