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FilterAndColor
滤波器与伪彩色变换，
1。一个通用的高通、低通、带通和带阻滤波器函数
2。又分别实现理想、巴特沃思和指数等滤波形式
3。伪彩色处理
内附设计文档。(Filter and pseudo-color transformation, 1. A common high-pass, low pass, band pass and band stop filter function 2. Respectively realize the ideal, Butterworth and index filtering form 3. Pseudo-color handle enclosing the design documents.)
- 2008-05-26 13:08:41下载
- 积分：1
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Chebyshev-filter
切比雪夫滤波器的matlab实现代码，数字信号处理(Chebyshev filter matlab to achieve the code, digital signal processing)
- 2017-05-23 16:02:35下载
- 积分：1
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besselj_solve2
说明： 利用matlab求解贝塞尔函数(Using matlab to solve Bessel function)
- 2008-09-01 09:59:13下载
- 积分：1
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GUZHANGZHENDUAN
利用八组故障样本数据，根据样本的特征利用SOM网络进行故障诊断。(Using the eight groups of fault data samples, according to the characteristics of the sample using SOM network fault diagnosis.)
- 2014-09-09 11:25:58下载
- 积分：1
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polygon_contains_point_2d
for calculating point in polygon problem
- 2009-12-08 16:11:22下载
- 积分：1
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pll
本文讲述锁相环的工作原理，锁相环路实际上是一个相差自动调节系统。(This article describes the working principle of PLL, PLL is actually a difference between the automatic adjustment system.)
- 2011-01-09 20:25:55下载
- 积分：1
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es_cogenerazione
example cogeneration with penalty function
- 2011-06-24 17:00:53下载
- 积分：1
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1
说明： MATLAB实现的人脸检测程序 （PCA）方法，内附有详细注释(MATLAB implementation of face detection (PCA) method, enclosed is the detailed comments)
- 2013-12-03 17:29:43下载
- 积分：1
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SPMForSensorDataAnalytic
These files contain all the code necessary to run the example in the Webinar "Signal Processing for Machine Learning in MATLAB". They also include code to automate the download and preparation of the dataset used.
In that webinar we presented an example of a classification system able to identify the physical activity that a human subject is engaged in, solely based on the accelerometer signals generated by his or her smartphone.
We used consolidated signal processing methods to extract a fairly small number of highly-descriptive features, and finally trained a small Neural Network to map the feature vectors into the 6 different activity classes of a pre-recorded dataset.
The topics discussed include:
* Signal manipulation and visualisation
* Design and application of digital filters
* Frequency-domain analysis
* Automatic peak detection
* Feature extraction from signals
* Train and test of simple Neural Networks
- 2018-05-15 11:54:21下载
- 积分：1
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impulse
impulse propagation through a panel
- 2010-11-13 06:24:37下载
- 积分：1
