This file is a function under matlab which allow to compute several statistical parameter of random signal such as variance, power, mean values, std, ...
標簽： statistical parameter function compute
上傳時間： 2017-06-27
上傳用戶：ruixue198909
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，k-mean搜索方法，執(zhí)行起來很快，推薦。
標簽： 算法
上傳時間： 2017-08-20
上傳用戶：s363994250
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
function [alpha,N,U]=youxianchafen2(r1,r2,up,under,num,deta) %[alpha,N,U]=youxianchafen2(a,r1,r2,up,under,num,deta) %該函數用有限差分法求解有兩種介質的正方形區(qū)域的二維拉普拉斯方程的數值解 %函數返回迭代因子、迭代次數以及迭代完成后所求區(qū)域內網格節(jié)點處的值 %a為正方形求解區(qū)域的邊長 %r1,r2分別表示兩種介質的電導率 %up,under分別為上下邊界值 %num表示將區(qū)域每邊的網格剖分個數 %deta為迭代過程中所允許的相對誤差限 n=num+1; %每邊節(jié)點數 U(n,n)=0; %節(jié)點處數值矩陣 N=0; %迭代次數初值 alpha=2/(1+sin(pi/num));%超松弛迭代因子 k=r1/r2; %兩介質電導率之比 U(1,1:n)=up; %求解區(qū)域上邊界第一類邊界條件 U(n,1:n)=under; %求解區(qū)域下邊界第一類邊界條件 U(2:num,1)=0;U(2:num,n)=0; for i=2:num U(i,2:num)=up-(up-under)/num*(i-1);%采用線性賦值對上下邊界之間的節(jié)點賦迭代初值 end G=1; while G>0 %迭代條件：不滿足相對誤差限要求的節(jié)點數目G不為零 Un=U; %完成第n次迭代后所有節(jié)點處的值 G=0; %每完成一次迭代將不滿足相對誤差限要求的節(jié)點數目歸零 for j=1:n for i=2:num U1=U(i,j); %第n次迭代時網格節(jié)點處的值 if j==1 %第n+1次迭代左邊界第二類邊界條件 U(i,j)=1/4*(2*U(i,j+1)+U(i-1,j)+U(i+1,j)); end if (j>1)&&(j U2=1/4*(U(i,j+1)+ U(i-1,j)+ U(i,j-1)+ U(i+1,j)); U(i,j)=U1+alpha*(U2-U1); %引入超松弛迭代因子后的網格節(jié)點處的值 end if i==n+1-j %第n+1次迭代兩介質分界面（與網格對角線重合）第二類邊界條件 U(i,j)=1/4*(2/(1+k)*(U(i,j+1)+U(i+1,j))+2*k/(1+k)*(U(i-1,j)+U(i,j-1))); end if j==n %第n+1次迭代右邊界第二類邊界條件 U(i,n)=1/4*(2*U(i,j-1)+U(i-1,j)+U(i+1,j)); end end end N=N+1 %顯示迭代次數 Un1=U; %完成第n+1次迭代后所有節(jié)點處的值 err=abs((Un1-Un)./Un1);%第n+1次迭代與第n次迭代所有節(jié)點值的相對誤差 err(1,1:n)=0; %上邊界節(jié)點相對誤差置零 err(n,1:n)=0; %下邊界節(jié)點相對誤差置零 G=sum(sum(err>deta))%顯示每次迭代后不滿足相對誤差限要求的節(jié)點數目G end
標簽： 有限差分
上傳時間： 2018-07-13
上傳用戶：Kemin
Microsoft Visual Studio Solution File, Format Version 9.00 # Visual Studio 2005
標簽： 游戲
上傳時間： 2019-07-19
上傳用戶：cmpcmp
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
上傳時間： 2020-03-12
上傳用戶：15275387185
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
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
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
