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preprocessing-methods
一阶导数、二阶导数，矢量归一化（SNV），多元散射校正（MSC），数据中心化，直接信号校正，平滑处理六种光谱数据预处理的方法(A first derivative, second derivative, vector normalization (SNV), multiplicative scatter correction (MSC), the data center of the direct signal correction, smoothing six kinds of spectral data preprocessing methods)
- 2021-04-08 08:39:01下载
- 积分：1
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WAXTOP_fix
这是一个随机网络产生模型,可以用它仿真网络进行实验,程序采用matlab 语言编写(This is a random network generation model, the network can use simulation test, the program written by matlab)
- 2010-06-13 19:31:07下载
- 积分：1
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InfDry
干燥天气数据，污水处理中的干燥天气入水数据mat格式，利用matlab进行分析。(dry weather data)
- 2011-10-25 11:30:50下载
- 积分：1
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state_
state space model for induction machiine
- 2012-10-07 21:06:33下载
- 积分：1
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mp3readandmp3write
说明： mp3read和mp3write是直接写在wavread更换和wavwrite访问MPEG音频MP3文件。其特点包括： -旨在重复wavread完整语法和wavwrite -还支持上的动态下采样和渠道mpg123的合并-文件优化的很长的MP3 -只需要解码的部分-使用popen函数进行编码，以避免大量临时文件（可用时-看到我popenw墨西哥） -试图消除写保护回路的时间序列文件/通过阅读“热身”样本-包括辅助二进制软件包在Linux，Windows，Mac的PPC的，苹果，英特尔，和Mac英特尔- 64位(These versions of mp3read and mp3write are direct drop-in replacements for wavread and wavwrite to access MPEG audio mp3 files. Features include:
- aims to duplicate complete syntax of wavread and wavwrite
- also supports on-the-fly downsampling and channel merging of mpg123
- optimized for very long mp3 files- only decodes the needed portion
- uses popen for encoding to avoid a large temporary file (when available- see my popenw mex)
- attempts to preserve time alignment of files through read/write loop by removing "warm up" samples
- package includes helper binaries for Linux, Windows, Mac-PPC, Mac-Intel, and Mac-Intel-64bit
)
- 2010-04-18 12:29:02下载
- 积分：1
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LBP
matlab的lbp代码。有均匀模式、旋转不变模式、旋转不变等价模式等。(matlab code for lbp with uniform LBP/rotation-invariant LBP)
- 2021-04-12 10:58:58下载
- 积分：1
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f_ant2rm
用来获取天线 array factor 参数(get the array factor from the Antenna)
- 2011-09-28 21:59:30下载
- 积分：1
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2to16
二进制转换十六进制的小程序，在控制台程序下编译成功，开发环境Visual studio 2013(Sixteen hexadecimal conversion binary)
- 2014-12-02 13:15:35下载
- 积分：1
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weinalvbo
设计一维纳滤波器。
（1）产生三组观测数据，首先根据s(n)=as(n-1)+w(n)产生信号s(n)，将其加噪(信噪比分别为20dB，10dB，6dB)，得到观测数据x1(n)，x2(n)，x3(n)。
（2）估计xi(n)，i=1,2,3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L，N对实验结果的影响。
(Design a Wiener filter. (1) generate three sets of observations data, first according to s (n) = as (n-1)+w (n) to generate a signal s (n), which add noise (SNR respectively 20dB, 10dB, 6dB), obtained observation data x1 (n), x2 (n), x3 (n). (2) estimate xi (n), i = AR model parameters 1,2,3. Assuming the signal length L, AR model of order N, analysis of experimental results and discuss changes affect L, N of the experimental results.)
- 2015-01-05 10:45:56下载
- 积分：1
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brain-tumor-detection-using-watershed-segmentatio
In this project, Brain tumor in MRI is detected using image segmentation techniques. There are number of image segmentation techniques available but watershed segmentation is considered to be best among all. First of all prep-processing is to be done on MRI image followed by Segmentation. During pre-processing, MRI is first converted into gray scale image then salt and pepper noise is removed using median filter. Image is then enhanced using Histogram Equalization then Image segmentation is performed on image. In image segmentation, image is segmented into its constituent parts. In this way, brain tumor is detected.
- 2015-01-19 01:44:27下载
- 积分：1
