Description: Basically, this article describes one way to implement the 1D version of the FFT algorithm for an array of complex samples. The intention of this article is to show an efficient and fast FFT algorithm that can easily be modified according to the needs of the user. I ve studied the FFT algorithm when I was developing a software to make frequency analysis on a sample of captured sound.-Basically, this article describes one way to implement the 1D version of the FFT algorithm for an array of co mplex samples. The intention of this article is to show an efficient and fast FFT algorithm that can easily be modified according to the needs of the user. I ve studied the FFT algorithm when I wa s developing a software to make frequency Analytics sis on a sample of captured sound. Platform: |
Size: 27927 |
Author:冰城 |
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Description: JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the purpose of analyzing data. It consists of four hundred m-files spanning thirty thousand lines of code. JLAB includes functions ranging in complexity from one-line aliases to high-level algorithms for certain specialized tasks. These have been collected together and made publicly available for you to use, modify, and --- subject to certain very reasonable constraints --- to redistribute.
Some of the highlights are: a suite of functions for the rapid manipulation of multi-component, potentially multi-dimensional datasets a systematic way of dealing with datasets having components of non-uniform length tools for fine-tuning figures using compact, straightforward statements and specialized functions for spectral and time / frequency analysis, including advanced wavelet algorithms developed by myself and collaborators.
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Size: 3009207 |
Author:chenxuzhen |
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Description: Basically, this article describes one way to implement the 1D version of the FFT algorithm for an array of complex samples. The intention of this article is to show an efficient and fast FFT algorithm that can easily be modified according to the needs of the user. I ve studied the FFT algorithm when I was developing a software to make frequency analysis on a sample of captured sound.-Basically, this article describes one way to implement the 1D version of the FFT algorithm for an array of co mplex samples. The intention of this article is to show an efficient and fast FFT algorithm that can easily be modified according to the needs of the user. I ve studied the FFT algorithm when I wa s developing a software to make frequency Analytics sis on a sample of captured sound. Platform: |
Size: 27648 |
Author:冰城 |
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Description: 《Matlab时频分析技术及其应用》随书源代码- Matlab time-frequency analysis technology and its applications, With the book source code Platform: |
Size: 63488 |
Author:wupeng |
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Description: JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the purpose of analyzing data. It consists of four hundred m-files spanning thirty thousand lines of code. JLAB includes functions ranging in complexity from one-line aliases to high-level algorithms for certain specialized tasks. These have been collected together and made publicly available for you to use, modify, and --- subject to certain very reasonable constraints --- to redistribute.
Some of the highlights are: a suite of functions for the rapid manipulation of multi-component, potentially multi-dimensional datasets a systematic way of dealing with datasets having components of non-uniform length tools for fine-tuning figures using compact, straightforward statements and specialized functions for spectral and time / frequency analysis, including advanced wavelet algorithms developed by myself and collaborators.
-JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the purpose of analyzing data. It consists of four hundred m-files spanning thirty thousand lines of code. JLAB includes functions ranging in complexity from one-line aliases to high-level algorithms for certain specialized tasks. These have been collected together and made publicly available for you to use, modify, and--- subject to certain very reasonable constraints--- to redistribute.
Some of the highlights are: a suite of functions for the rapid manipulation of multi-component, potentially multi-dimensional datasets a systematic way of dealing with datasets having components of non-uniform length tools for fine-tuning figures using compact, straightforward statements and specialized functions for spectral and time/frequency analysis, including advanced wavelet algorithms developed by myself and collaborators.
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Size: 3008512 |
Author:chenxuzhen |
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Description: matlab 压缩包文件,基于时频分析的isar回波处理历程,基于时频分析的多分量现形调频信号处理-matlab compressed file, based on the time-frequency analysis of the ISAR echo processing course, based on the time-frequency analysis of multi-component FM signal processing edition Platform: |
Size: 124928 |
Author:汪金华 |
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Description: 频率域熵图，两个窗口，熵的径向和角向分布，便于分析纹理，还有一个自己写的gabor变换，请参考。-Frequency domain entropy map, two windows, the entropy of the radial and angular distribution, to facilitate analysis of texture, there is a transform gabor wrote it myself, please refer to. Platform: |
Size: 2048 |
Author:zhaohaohao |
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Description: Subroutine for continuous cross spectrum analysis of two
one-dimensional series x(i) and y(i) (i=1,...,n).
Input parameters and arrays: n,m, x(n), y(n),
n: number of data
m: biggest lag time length. Generally, m is between n/3 and n/10.
x(n),y(n): raw series
Output variables:
ol(0:m): frequency array
tl(0:m): periodic array
px(0:m): power spectrum of x(n)
py(0:m): power spectrum of y(n)
pxy(0:m): co-spectrum between x and y
qxy(0:m): quad-spectrum between x and y
rxy(0:m): coherence spectrum between x and y (it is between 0 and 1)
cxy(0:m): phase difference spectrum between x and y
If cxy(i)>0, then x trails y for the wave i, i.e. y leads x.
lxy(0:m): lag length spectrum between x and y
rxy951(0:m): 95 F-test confidence upper limit for coherence spectrum rxy
rxy952(0:m): 95 Goodman-test confidence upper limit for coherence spectrum rxy - By Dr. Li Jianping, September 6, 2001. Platform: |
Size: 4096 |
Author:Diana |
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Description: 相关性研究的最新研究成果Scaled correlation analysis 欧洲神经科学杂志2012年1月-When computing a cross-correlation histogram, slower signal components can hinder the detection of faster components, which are
often in the research focus. For example, precise neuronal synchronization often co-occurs with slow co-variation in neuronal rate
responses. Here we present a method – dubbed scaled correlation analysis – that enables the isolation of the cross-correlation
histogram of fast signal components. The method computes correlations only on small temporal scales (i.e. on short segments of
signals such as 25 ms), resulting in the removal of correlation components slower than those defined by the scale. Scaled correlation
analysis has several advantages over traditional filtering approaches based on computations in the frequency domain. Among its
other applications, as we show on data from cat visual cortex, the method can assist the studies of precise neuronal synchronization. Platform: |
Size: 3935232 |
Author:lifan |
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Description: 本系统主要通过matlab对自动控制系统
在频域方面的应用，分为奈氏图分析，波特
图分析，奈氏图分析，以及对开环系统的
闭环稳定性等性能的分析，实现对自动控制
系统各环节的进一步形象了解。本软件可配
合控制教材验证使用。-This system is mainly for the automatic control system by matlab
Application in the frequency domain is divided into Nyquist diagram analysis, Porter
Chart analysis, Nyquist diagram analysis, as well as open-loop system
Analysis of the closed-loop stability and other properties, to achieve automatic control
Further image understanding of all aspects of the system. The software can be equipped
Co-verification using control materials. Platform: |
Size: 133120 |
Author:赵修森 |
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Search - frequency analysis co