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overlap

  • function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag) %CUM2X Cross-covariance % y_cum = cum2x

    function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag) %CUM2X Cross-covariance % y_cum = cum2x (x,y,maxlag, samp_seg, overlap, flag) % x,y - data vectors/matrices with identical dimensions % if x,y are matrices, rather than vectors, columns are % assumed to correspond to independent realizations, % overlap is set to 0, and samp_seg to the row dimension. % maxlag - maximum lag to be computed [default = 0] % samp_seg - samples per segment [default = data_length] % overlap - percentage overlap of segments [default = 0] % overlap is clipped to the allowed range of [0,99].

    標簽: cum2x y_cum Cross-covariance function

    上傳時間: 2015-09-08

    上傳用戶:xieguodong1234

  • overlap addition for input sequence long

    overlap addition for input sequence long

    標簽: addition sequence overlap input

    上傳時間: 2017-07-04

    上傳用戶:han_zh

  • A series of .c and .m files which allow one to perform univariate and bivariate wavelet analysis of

    A series of .c and .m files which allow one to perform univariate and bivariate wavelet analysis of discrete time series. Noother wavelet package is necessary -- everything is contained in this archive. The C-code computes the DWT and maximal overlap DWT. MATLAB routines are then used to compute such quantities as the wavelet variance, covariance, correlation, cross-covariance and cross-correlation. Approximate confidence intervals are available for all quantities except the cross-covariance and cross-correlation. A set of commands is provided. For a description of this example, please see http://www.eurandom.tue.nl/whitcher/software/.

    標簽: univariate and bivariate analysis

    上傳時間: 2015-06-23

    上傳用戶:chongcongying

  • Problem Statement You are given a string input. You are to find the longest substring of input su

    Problem Statement You are given a string input. You are to find the longest substring of input such that the reversal of the substring is also a substring of input. In case of a tie, return the string that occurs earliest in input. Definition Class: ReverseSubstring Method: findReversed Parameters: string Returns: string Method signature: string findReversed(string input) (be sure your method is public) Notes The substring and its reversal may overlap partially or completely. The entire original string is itself a valid substring (see example 4). Constraints input will contain between 1 and 50 characters, inclusive. Each character of input will be an uppercase letter ( A - Z ). Examples 0) "XBCDEFYWFEDCBZ" Returns: "BCDEF" We see that the reverse of BCDEF is FEDCB, which appears later in the string. 1)

    標簽: input Statement You are

    上傳時間: 2015-09-21

    上傳用戶:sunjet

  • 數字信號處理用的快速傅里葉變化

    數字信號處理用的快速傅里葉變化,可提供分段,復蓋(overlap),時程圖,頻譜圖。

    標簽: 數字信號處理 快速傅里葉 變化

    上傳時間: 2015-11-13

    上傳用戶:xhz1993

  • 串口通訊類

    串口通訊類,支持異常處理,overlap,比較不錯的哦

    標簽: 串口通訊

    上傳時間: 2016-07-04

    上傳用戶:龍飛艇

  • 主題 : Low power Modified Booth Multiplier 介紹 : 為了節省乘法器面積、加快速度等等

    主題 : Low power Modified Booth Multiplier 介紹 : 為了節省乘法器面積、加快速度等等,許多文獻根據乘法器中架構提出改進的方式,而其中在1951年,A. D. Booth教授提出了一種名為radix-2 Booth演算法,演算法原理是在LSB前一個位元補上“0”,再由LSB至MSB以每兩個位元為一個Group,而下一個Group的LSB會與上一個Group的MSB重疊(overlap),Group中的位元。 Booth編碼表進行編碼(Booth Encoding)後再產生部分乘積進而得到最後的結果。 Radix-2 Booth演算法在1961年由O. L. Macsorley教授改良後,提出了radix-4 Booth演算法(modified Booth algorithm),此演算法的差異為Group所涵括的位元由原先的2個位元變為3個位元。

    標簽: Multiplier Modified Booth power

    上傳時間: 2016-09-01

    上傳用戶:stewart·

  • WLAN仿真-發送機 wlan No Comments 設置完系統參數后

    WLAN仿真-發送機 wlan No Comments 設置完系統參數后,開始產生發送數據。 1. 產生隨機的發送bit(tx_bits),這里不考慮信道編碼。 2. QAM映射 3. 將數據映射到不同載波,形成OFDM符號 4. 產生pilot,并將pilot插入OFDM符號中 5. 加入dc和guard子載波 6. 進行ifft,將頻域信號變到時域,并加入循環前綴 7. 對信號進行overlap window 8. 在時域產生short preamble 9. 在時域產生long preamble 10. 將preamble和數據符號組成packet 11. 升采樣 得到信道傳輸的數據Tx_signal_up 具體程序見附件 wlan_transmitter.m

    標簽: Comments WLAN wlan No

    上傳時間: 2016-11-09

    上傳用戶:exxxds

  • The AVRcam source files were built using the WinAVR distribution (version 3.3.1 of GCC). I haven t

    The AVRcam source files were built using the WinAVR distribution (version 3.3.1 of GCC). I haven t tested other versions of GCC, but they should compile without too much difficulty. * The source files for the AVRcam had the author name and copyright information added back into them after the judging of the project, since it states in the competition rules that the author s name can not be present during their inspection. * The included source files are the ones that were submitted for the entry into the Circuit Cellar contest. I have continued to develop the AVRcam, and have added several new features (such as ignoring objects that aren t larger than a minimum size, removing tracked objects that overlap with each, and some general optimizations). If you are interested in the latest source, email me at john@jrobot.net * For more info about the AVRcam, check out http://www.jrobot.net John Orlando August 20, 2004

    標簽: distribution version AVRcam source

    上傳時間: 2016-12-30

    上傳用戶:GavinNeko

  • Fast Fourier Transform power point The rectangular window introduces broadening of any frequency co

    Fast Fourier Transform power point The rectangular window introduces broadening of any frequency components [`smearing鈥? and sidelobesthat may overlap with other frequency components [`leakage鈥?. 鈥he effect improves as Nincreases 鈥owever, the rectangle window has poor properties and better choices of wncan lead to better spectral properties [less leakage, in particular] 鈥搃.e. instead of just truncating the summation, we can pre-multiply by a suitable window function wnthat has better frequency domain properties. 鈥ore on window design in the filter design section of the course

    標簽: rectangular introduces broadening Transform

    上傳時間: 2017-03-25

    上傳用戶:change0329

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