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mean-square

  • 分別定義圖形類Shape(抽象基類)

    分別定義圖形類Shape(抽象基類),繼承類矩形類Rectangle、正方形類Square、 圓形類Circle;并且計算周長和面積。在另一個main函數中分別創建矩形、 正方形和圓形對象,設置所需的屬性值,打印其周長和面積。(備注:只要把該文件解壓,把里面的東東COPY去即可使用)

    標簽: Shape 定義 圖形

    上傳時間: 2017-07-25

    上傳用戶:wuyuying

  • Consider a BPSK and a QPSK system for the following two cases: 1) The probability that the symbol 1

    Consider a BPSK and a QPSK system for the following two cases: 1) The probability that the symbol 1 is sent and the probability that the symbol 0 is sent are all the same. 2) The probability that the symbol 1 is sent is two times than the probability that the symbol 0 is sent. Assume that the noise is Gaussian distributed with mean=0 and  2 = 1.

    標簽: probability following the Consider

    上傳時間: 2017-08-15

    上傳用戶:凌云御清風

  • 算法

    算法,k-mean搜索方法,執行起來很快,推薦。

    標簽: 算法

    上傳時間: 2017-08-20

    上傳用戶:s363994250

  • Main program running when workpiece is ready on deferent belt(deferent_ready=ture). * Call Squ

    Main program running when workpiece is ready on deferent belt(deferent_ready=ture). * Call Square_Wave subroutine to generate 0.5ms square wave on P1.2 to drive * electromotor,then drive deferent belt step forward. When it steps to the measure * zone, it stops to be measured. Then call A_D subroutine to transform analog * signals to digital signals , after then call serial subroutine to transfer * digital signals to PC. Call square wave subroutine to drive deferent belt step to * original position waitting for defere ready flag to run the next circle.

    標簽: deferent_ready workpiece deferent program

    上傳時間: 2017-08-31

    上傳用戶:baiom

  • System identification with adaptive filter using full and partial-update Generalised-Sideband-Decomp

    System identification with adaptive filter using full and partial-update Generalised-Sideband-Decomposition Least-mean-squares

    標簽: Generalised-Sideband-Decomp identification partial-update adaptive

    上傳時間: 2017-09-13

    上傳用戶:xcy122677

  • 多元散射校正MSC

    function [R,k,b] = msc(A) % 多元散射校正 % 輸入待處理矩陣,通過多元散射校正,求得校正后的矩陣 %% 獲得矩陣行列數 [m,n] = size(A); %% 求平均光譜 M = mean(A,2); %% 利用最小二乘法求每一列的斜率k和截距b for i = 1:n a = polyfit(M,A(:,i),1); if i == 1 k = a(1); b = a(2); else k = [k,a(1)]; b = [b,a(2)]; end end %% 求得結果 for i = 1:n Ai = (A(:,i)-b(i))/k(i); if i == 1 R = Ai; else R = [R,Ai]; end end

    標簽: MSC 多元 散射 校正

    上傳時間: 2020-03-12

    上傳用戶:15275387185

  • Communication+Networks+Economy

    The term economics is generally understood to mean sound management. This is associated with openness, good faith, accurate figures and integrity in company accounts, with transparency ensured through satisfactory standards of good practice in relation to investors and the clients who have placed their trust in an organization’s managers.

    標簽: Communication Networks Economy

    上傳時間: 2020-05-26

    上傳用戶:shancjb

  • Signal Processing for Telecommunications

    This paper presents a Hidden Markov Model (HMM)-based speech enhancement method, aiming at reducing non-stationary noise from speech signals. The system is based on the assumption that the speech and the noise are additive and uncorrelated. Cepstral features are used to extract statistical information from both the speech and the noise. A-priori statistical information is collected from long training sequences into ergodic hidden Markov models. Given the ergodic models for the speech and the noise, a compensated speech-noise model is created by means of parallel model combination, using a log-normal approximation. During the compensation, the mean of every mixture in the speech and noise model is stored. The stored means are then used in the enhancement process to create the most likely speech and noise power spectral distributions using the forward algorithm combined with mixture probability. The distributions are used to generate a Wiener filter for every observation. The paper includes a performance evaluation of the speech enhancer for stationary as well as non-stationary noise environment.

    標簽: Telecommunications Processing Signal for

    上傳時間: 2020-06-01

    上傳用戶:shancjb

  • Understanding+Telecommunications+Networks

    Telecommunications is today widely understood to mean the electrical means of communicating over a distance. The first form of telecommunications was that of the Telegraph, which was invented quite independently in 1837 by two scientists, Wheatstone and Morse. Telegraphy was on a point-to-point unidirectional basis and relied on trained operators to interpret between the spoken or written word and the special signals sent over the telegraph wire. However, the use of telegraphy did greatly enhance the operations of railways and, of course, the dissemination of news and personal messages between towns.

    標簽: Telecommunications Understanding Networks

    上傳時間: 2020-06-01

    上傳用戶:shancjb

  • Wireless Communication Technology

    This is a book on wireless communication. That usually means communica- tion by radio, though ultrasound and infrared light are also used occasion- ally. The term “wireless” has come to mean nonbroadcast communication, usually between individuals who very often use portable or mobile equip- ment. The term is rather vague, of course, and there are certainly borderline applications that are called wireless without falling exactly into the above definition.

    標簽: Communication Technology Wireless

    上傳時間: 2020-06-01

    上傳用戶:shancjb

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