介紹一些常用的數(shù)值計(jì)算方法，包括用FFT計(jì)算離散傅立葉(Fourier)變換，kalman濾波，alpha-beida-ganma濾波
上傳時(shí)間： 2014-01-06
上傳用戶：sammi
FRFT時(shí)頻變換代碼（參考算法：H.M. Ozaktas, M.A. Kutay, and G. Bozdagi.Digital computation of the fractional Fourier transform.IEEE Trans. Sig. Proc., 44:2141--2150, 1996.）
標(biāo)簽： H.M. G. M.A. computation
上傳時(shí)間： 2013-12-21
上傳用戶：希醬大魔王
The frequency domain plays an important role in image processing to smooth, enhance, and detect edges of images. Although image data typically does not include imaginary values, the fast Fourier transform (FFT) has been used for obtaining spectra. In this paper, the fast Hartley transform (FHT) is used to transform two-dimensional image data. Because the Hartley transform is real valued, it does not require complex operations. Both spectra and autocorrelations of two-dimensional ultrasound images of normal and abnormal livers were computed.
標(biāo)簽： processing frequency important enhance
上傳時(shí)間： 2014-01-08
上傳用戶：1051290259
An important book that cover wavelet domain. It help a lot in understanding wavelets and their applications. Beside explanations of the transform and application of this, there are also presents the reasons why wavelets are better than Fourier transform.
標(biāo)簽： understanding important wavelets wavelet
上傳時(shí)間： 2017-06-14
上傳用戶：lanhuaying
一種新的方法，可以自動(dòng)對(duì)兩幅圖像進(jìn)行 ·Matlab code for encoding an unwrappi ·岡薩雷斯的經(jīng)典教材數(shù)字圖像處理的matl ·Fast Fourier Transform ·《Matlab控制系統(tǒng)與應(yīng)用實(shí)例》一書源碼 ·Bayesian Compressed Sensing ·永磁同步電動(dòng)機(jī)的空間矢量控制simulink ·Matlab計(jì)算信噪比,單聲道，雙聲道均可
標(biāo)簽：
上傳時(shí)間： 2017-06-25
上傳用戶：從此走出陰霾
數(shù)字控制振蕩器（NCO，numerical controlled oscillator）是軟件無線電、直接數(shù)據(jù)頻 率合成器（DDS，Direct digital synthesizer）、快速傅立葉變換（FFT，F(xiàn)ast Fourier Transform） 等的重要組成部分，同時(shí)也是決定其性能的主要因素之一，隨著芯片集成度的提高、在信號(hào) 處理、數(shù)字通信領(lǐng)域、調(diào)制解調(diào)、變頻調(diào)速、制導(dǎo)控制、電力電子等方面得到越來越廣泛的 應(yīng)用。
上傳時(shí)間： 2017-07-15
上傳用戶：nanshan
David Vernon is the Coordinator of the European Network for the Advancement of Artificial Cognitive Systems and he is a Visiting Professor of Cognitive Systems at the University of Genoa. He is also a member of the management team of the RobotCub integrated working on the development of open-source cognitive humanoid robot. Over the past 27 years, he has held positions at Westinghouse Electric, Trinity College Dublin, the European Commission, the National University of Ireland Maynooth, Science Foundation Ireland, and Etisalat University College. He has authored two and edited three books on computer vision and has published over eighty papers in the fields of Computer Vision, Robotics, and Cognitive Systems. His research interests include Fourier-based computer vision and enactive approaches to cognition. He is currently a Professor at Etisalat University College in Sharjah-United Arab Emirates, focusing on Masters programs by research in Computing fields.".[1]
標(biāo)簽： the Coordinator Advancement Artificial
上傳時(shí)間： 2014-01-08
上傳用戶：netwolf
Use the fast Fourier transform function fft to analyse following signal. Plot the original signal, and the magnitude of its spectrum linearly and logarithmically. Apply Hamming window to reduce the leakage. . The hamming window can be coded in Matlab as for n=1:N hamming(n)=0.54+0.46*cos((2*n-N+1)*pi/N); end; where N is the data length in the FFT.
標(biāo)簽： matlab fft
上傳時(shí)間： 2015-11-23
上傳用戶：石灰?guī)r123
一中流水線結(jié)構(gòu)的FFT，構(gòu)建的一中新的FFT，基于流水線結(jié)構(gòu)使得其運(yùn)行速度更快，更適合實(shí)用。
標(biāo)簽： transform pipeline Fourier fast
上傳時(shí)間： 2018-03-26
上傳用戶：lpyaking
In this paper we revisit hybrid analog-digital precoding systems with emphasis on their modelling and radio-frequency (RF) losses, to realistically evaluate their benefits in 5G system implementations. For this, we decompose the analog beamforming networks (ABFN) as a bank of commonly used RF components and formulate realistic model constraints based on their S-parameters. Specifically, we concentrate on fully-connected ABFN (FC-ABFN) and Butler networks for implementing the discrete Fourier transform (DFT) in the RF domain. The results presented in this paper reveal that the performance and energy efficiency of hybrid precoding systems are severely affected, once practical factors are considered in the overall design. In this context, we also show that Butler RF networks are capable of providing better performances than FC-ABFN for systems with a large number of RF chains.
標(biāo)簽： Analog-Digital Precoding Hybrid
上傳時(shí)間： 2020-05-27
上傳用戶：shancjb
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