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cbl
利用fft()进行快速傅立叶变换，得到频谱，画出正弦函数及其频谱
找出频谱中使得Y轴取最大值时的估计频率记为ft
加入白噪声，绘出信噪比和均方误差的关系曲线
( using fft () for fast Fourier transformation, spectrum, to draw the sine function and its spectrum find the spectrum makes the Y-axis maximum value when the estimated frequency is denoted by ft adding white noise, SNR plot and mean square error curve)
- 2011-01-08 10:52:46下载
- 积分：1
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pca
可用于高光谱图像处理的自己编的PCA函数,Matlab版的.主要作用是降维.(the pca function is used to hyperspectral image processing.)
- 2013-08-21 20:01:27下载
- 积分：1
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sprobnn
精通matlab编程语法， 熟练掌握matlab的用法，等(Proficient in matlab programming syntax, mastering matlab usage, etc.)
- 2013-12-30 09:01:39下载
- 积分：1
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ML_detection
用似然比方法对信号是否到达进行检测的Matlab源程序，希望采纳(Likelihood ratio method for detecting whether the signal reaches the Matlab source code, hope to adopt)
- 2014-02-23 20:01:53下载
- 积分：1
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beltfilter
为带通滤波器，需设置半阶数、高低截止频率和采样频率。保存为function函数的m文件。rar中为一肌电信号。(For band-pass filter, to be set up semi-order, high and low cutoff frequency and sampling frequency. Save it as a function of m file function. rar for a EMG.)
- 2008-12-11 13:22:54下载
- 积分：1
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stlwrite
Write STL file patch or surface data.
- 2015-01-13 21:32:19下载
- 积分：1
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MLI3Niveaux-(1)
THREE LEVL mli IS designed for three level NPC converter
- 2013-11-25 17:58:51下载
- 积分：1
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Artificial-Intelligence-pneumonia
利用朴实贝叶斯方法求解有关肺炎的问题。肺炎对应有四个特征：发烧、疼痛、咳嗽和血细胞异常，当确定了患肺炎与否时，四个特征条件独立。假设患肺炎与否和四个特征都可表示为Ture和False。
根据pneumonia.tex文件中的数据（500行，每行前4个数对应4个特征变量，第5个数对应患肺炎是否为真，以0表示False，1表示Ture），编写Matlab 程序 maininference.m，从example.txt中读取病人的症状信息（0表示False，1表示True，-1表示not given），并计算对应的患肺炎的可能性。所给的信息按发烧、疼痛、咳嗽、血细胞异常的顺序排列。将计算结果保存在answer.txt中。(Simple Bayesian method to solve the question of pneumonia. Pneumonia corresponding four characteristics: fever, pain, cough and blood cell abnormalities, determine the risk of pneumonia or not, the four characteristics of conditional independence. Assumptions suffering from pneumonia or not and four features can be represented as Ture and False. According to the data pneumonia.tex file (500 lines, each line of the first four numbers corresponding to the four characteristic variables, number 5 corresponds to the risk of pneumonia is true, 0 represents False, said Ture), to write Matlab program maininference. m from example.txt read the information of the patient' s symptoms (0 = False, said True, the-1 indicates not given), and to calculate corresponding to the likelihood of suffering from pneumonia. The information given by the order of fever, pain, cough, blood cell abnormalities. The calculated results is be saved in answer.txt.)
- 2013-01-04 23:27:12下载
- 积分：1
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bessel
文件中为几类贝塞尔函数，基于MATLAB编写(Bessel functions of several files, based on MATLAB prepared)
- 2014-02-21 21:03:32下载
- 积分：1
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yuce
单变量系统的隐式广义预测控制算法的研究,提供了matlab环境下的。m文件(programme for GPC)
- 2010-11-17 11:04:19下载
- 积分：1
