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HAMMING

  • 摘自university of waterloo的個別知道筆記

    摘自university of waterloo的個別知道筆記,主要關于electrical and computer engineering方面,包括了8-bit HAMMING的編解碼以及使用VHDL的硬件開發

    標簽: university waterloo of

    上傳時間: 2016-07-07

    上傳用戶:qq521

  • FFT算法進行FFT 、IFFT、功率譜計算

    FFT算法進行FFT 、IFFT、功率譜計算,包括HAMMING 窗、Hanning 窗、triangle 窗、Blackman 窗、4 term Blackman-Harris 窗幾種窗函數的功率譜計算功能。

    標簽: FFT 算法 功率譜 計算

    上傳時間: 2013-12-18

    上傳用戶:alan-ee

  • 研一剛上完數值分析

    研一剛上完數值分析,自己寫了幾個算法的子函數,可以直接調用,參數的含意在文件中有說明,這五個算法分別是:拉格朗日插值,hermite插值,Newton插值,修正HAMMING算法,龍貝格加速算法。希望能夠對大家有所幫助。

    標簽: 數值分析

    上傳時間: 2014-06-16

    上傳用戶:氣溫達上千萬的

  • The Window Design Method The basic idea behind the design of linear-phase FIR filters using the win

    The Window Design Method The basic idea behind the design of linear-phase FIR filters using the window method is to choose a proper ideal frequency-selective filter [which always has a noncausal, infinite duration impulse response] and then truncate its impulse response hd[n] to obtain a linear-phase and causal FIR filter h[n]. To truncate the impulse response of the ideal filter a time window w[n] is used. Available windows in Matlab are rectangular [or boxcar in Matlab], bartlett, HAMMING, hanning

    標簽: linear-phase The the filters

    上傳時間: 2017-03-20

    上傳用戶:PresidentHuang

  • This matlab program compares the results of different window design methods for finite impulse respo

    This matlab program compares the results of different window design methods for finite impulse response filters (FIRs): the rectangular window, Blackman window, Bartlett window, HAMMING window and the Hanning window.

    標簽: different compares impulse program

    上傳時間: 2017-09-13

    上傳用戶:784533221

  • fft analysis

          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.

    標簽: matlab fft

    上傳時間: 2015-11-23

    上傳用戶:石灰巖123

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