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The discrete Fourier transform of Python images

The two-dimensional discrete Fourier transform of image (MxN) can transform the image from the spatial domain to the frequency domain, the spatial coordinates are represented by x, y in the space domain, the frequency domain is represented by u,v, and the formula of the two-dimensional discrete Fourier transform is as follows:In Python, the FFT module of the NumPy Library has a two-dimensional

Classical discrete mathematics teaching materials and materials (finishing)

Zuo Xiaoling edition: Discrete Mathematics-Zuo Xiaoling Discrete Mathematics Qu wanling version: Discrete Mathematics _qu Wan _ pku.doc Classic Discrete Mathematics Discrete mathematics lesson (qu Wan Yu .rar University of electronic science and technology internal edition:

Understanding Discrete Fourier Transformation (1. The origin of Fourier transformation)

Understanding of Discrete Fourier Transformation (I) ------ the origin of Fourier Transformation: The description of Fourier transformation can be easily found in books or on the Internet, but it is mostly an article about it, it's too abstract. It's just a list of seemingly daunting formulas, making it hard for people to understand from their senses. Recently, I occasionally see an electronic book about digital signal processing on the Internet. It's

The difference between discrete graphics, core graphics, and integrated graphics

This article is reproduced from: The difference between integrated graphics and discrete graphics, performance is different. The difference between integrated graphics and discrete graphics The difference between discrete graphics, core graphics, and integrated graphics The following sections are reproduced from: The difference between integrated graphics and

Hotspot Association rule Algorithm (1)--mining discrete data

Refer to association Rules algorithm, generally think of Apriori or FP, generally very few think of the hotspot, the algorithm does not know the application is less or I check the data means too low, in the Internet only found very little content, this article http:/ /wiki.pentaho.com/display/datamining/hotspot+segmentation-profiling, probably analyzed a little, the other seems to have not seen how. More useful algorithm class software, such as Weka, which already contains the algorithm, in the

Pandas.get_dummies discrete feature coded __ encoding

Import NumPy as NP from pandas import Series, dataframe import pandas as PD df = dataframe {' key ': [' B ', ' B ', ' A ', ' C ', ' A ', ' B '], ' data1 ': Range (6)}) pd.get_dummies (df[' key ') print (DF) ' data1 key 0 0 B 1 1 B 2 2 a 3 3 C 4 4 A 5 5 B ' ' dummies = pd.get_dummies (df[' key '), prefix= ' key ') Df_with _dummy = df[[' data1 ']].join (dummies) print (df_with_dummy) ' ' Data1 key_a-key_b key_c 0 0 0.0 1.0 0. 0 1 1 0.0 1.0 0.0 2 2 1.0 0.0 0.0 3 3 0.0 0.0 1.0 4 4 1.0 0.0-0.0 5

Understanding discrete Fourier transforms (three complex numbers)

Understanding of discrete Fourier transform (d)------complex form of discrete Fourier transform the discrete Fourier transform is very ingenious to use the complex method, making Fourier transform transformation more natural and concise, it is not simply to use the replacement method to use the complex Number, but to analyze the problem completely from the plural

Continuous, discrete Fourier transformation and Series

Http://blog.csdn.net/xuexiang0704/article/details/8260890 Continuous, discrete Fourier transformation and series are still very mixed! 1. Due to the periodicity of the discrete complex index, the discrete Fourier transformation has a periodic (2 π ). This leads to a series of differences, such as discrete multiplicati

C + + implements discrete cosine transform

C + + implements discrete cosine transformwrite in frontSo far has read a considerable part of the grid watermark, and other aspects of the paper, but the progress of the paper has not been more, this month to choose some of the more classic papers, the algorithm will be implemented. In the process of realizing the thesis, it is found that some algorithms in the paper are useful to the frequency domain of airspace. So I thought of realizing the

"Cs229-lecture17" Discrete and dimension catastrophe

Main content: Algorithms for solving MDP problems: discretization; Model MDP assimilation type; (Model/similator) An iterative algorithm for fitting values; Q function; Approximate policy iterations; Notes transferred from: http://blog.csdn.net/dark_scope/article/details/8252969MDP in continuous stateBefore our state is discrete, if the state is continuous, the following will be an example

Algorithm Series 23: Audio playback and spectral display of discrete Fourier transform

Spectrum and equalizer, almost a necessary object of the media Player program, without these two features of the media Player will be considered not professional, now the mainstream player has these two functions,foobar 18-segment equalizer has been fascinated by many people. I use Winamp to play Music(AOL has stopped Winamp support in the year of the month), The first thing that attracted me was the beating spectrum on the playback interface, as shown in (1). I've been trying to figure out w

Academics | Yann LeCun Latest research: can help Gan to use discrete data arae

AI Technology Review News, Fair, head of the Facebook AI Research Center, Yann LeCun, one of the deep-learning troika, commented on a dynamic on Facebook yesterday. Yann LeCun forwarded the news from a New York University who worked with him, who was reading a doctoral student, Jake Zhao, introducing a paper that had been uploaded to ArXiv. This paper introduces a kind of "antagonistic regularization Automatic encoder" (arae,adversarially regularized autoencoders) which can help Gan to use

MATLAB signal and System Analysis (II.)--time-domain analysis of discrete-time signals and systems

The expression of discrete signals 1, a discrete signal needs to be represented by two vectors:(1) Amplitude of discrete signal(2) location information of discrete signals2, using MATLAB to realize the visualization of discrete signals(1) Symbolic operations cannot be used t

Discrete cosine transform (c + + implementation)

The theoretical part is reproduced from this article blog:http://blog.csdn.net/luoweifu/article/details/8214959 the blog gives Java code, I use C + + to implement it.Theory:In addition to the Fourier transform, the orthogonal transformations commonly used in image processing have some other useful orthogonal transformations, in which the discrete cosine is one. The discrete cosine transform is represented a

Talking about the thought and realization method of using SQLite to store discrete tiles

Label:Article copyright by the author Xiaohui Li is and the blog park, if reproduced please clearly indicate the source: http://www.cnblogs.com/naaoveGIS/1. BackgroundIn a number of projects involving the Internet map of the intranet display, through the self-made tools to complete the Internet map tile download. However, there are several problems with this approach: A. Tiles are discrete images, and remote deployment is time-consuming. B. In the til

HotSpot association rule algorithm (2) -- mining continuous and discrete data and hot spot discretization

HotSpot association rule algorithm (2) -- mining continuous and discrete data and hot spot discretization This code can be downloaded at (updated tomorrow. The previous article hot spot association rule algorithm (1) -- mining discrete data analyzes the hot spot Association Rules of discrete data. This article analyzes the hot spot Association Rules Mining of

Python discrete feature encoding

There are two kinds of discrete feature coding, which have the meaning of size and character.1, the characteristic does not have the size significance direct single-heat code2, the characteristics of the size of the significance of the use of mapping code[Python]View PlainCopy Import Pandas as PD DF = PD. DataFrame ([ [' green ', ' M ', 10.1, ' Label1 '], [' Red ', ' L ', 13.5, ' Label2 '], [' Blue ', ' XL ', 15.3, ' Label2 ']]

Interpolation algorithm for discrete time series (using FFT)

these two sequences are the same. Both of these sequences satisfy the law of the quest sampling, so the values of the corresponding frequency points on the spectrum should be related. And this relationship can be deduced by the inverse transformation formula.As can be seen, if, then x[n] = x' [NM]. But the x' [n] will have many elements that are complex values. We know that the Fourier transform of the real sequence satisfies the following conditions:. You can do this if you want to extend this

The Java implementation of discrete value calculation method

The most recent data analysis requires a discrete value.My personal understanding is that the average of the difference between each number and the average of all numbersThe implementation method is as follows:public static double docal (double [] datas) {//mean double Pingjun = 0;//sum/number of double total = 0;for (int i =0;iThe Java implementation of discrete value calculation method

Gray-scale image--two-dimensional discrete Fourier transform in frequency domain filter Fourier transform

Study Dip 24th Day Reproduced please indicate the source of this article: Http://blog.csdn.net/tonyshengtan, Welcome to reprint, found that the blog is reproduced in some forums, the image can not be normal display, unable to express my views, to this expression is very dissatisfied. Some sites reproduced my blog, very happy is that they write something more people see, but not happy is this paragraph was removed, also did not indicate the source of reprint, although this does not have copyrigh

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