Michael Adelman 2013년 2월 22일 추천 0 링크 번역 I want to pad this vector with zeros before IFFT for OFDM transmission. In that case what scaling factor should be? 댓글 수: 0 댓글을 달려면 로그인하십시오.이...
代码语言:javascript I=imread('lena1.png');figure;imshow(I);forward_dx=mipforwarddiff(I,'dx');figure,imshow(forward_dx);forward_dy=mipforwarddiff(I,'dy');figure,imshow(forward_dy);central_dx=mipcentraldiff(I,'dx');figure,imshow(central_dx);central_dy=mipcentraldiff(I,'dy');figure,im...
Consider a vectornwith some zero values. We want to remove these zeros using thefind()function. clc clear n=[102030];indices=find(n==0);n(indices)=[];n In this example, we start by defining a vectorncontaining some zero values. Thefind()function is then employed with the conditionn =...
size(A) 即返回[A_row,A_col] size(A,1) 即返回A_row size(A,2) 即返回A_col 返回值可以直接使用向量来接收,也可以使用两个常数接收 vector = size(A) [A_r,A_c] = size(A) length(A) 即返回max(A_row,A_col) numel(A) 即返回元素总数 线性索引: MatLab 中数据的存储方式为 "列线性"...
% Note: The vector y passed into the function is a vector of labels % containing values from 1..K. You need to map this vector into a % binary vector of 1's and 0's to be used with the neural network % cost function. %
Pad(填充) array Syntax B = padarray(A, padsize) B = padarray(A, padsize, padval) B = padarray(A, padsize, padval, direction) Description B = padarray(A, padsize) pads array A with 0's (zeros). padsize is a vector of positive integers that specifies both the amount of padd...
The length of the vector is p. Character matrix Each row of the matrix is the name of a predictor variable. The names must match the entries in PredictorNames. Pad the names with extra blanks so each row of the character matrix has the same length. String array or cell array of ...
% [F,K]=ZeroPadSignal(F1,K1,K2) % F=ZeroPadSignal(F1,K1,K2) % sorts the elements of K1 in ascending order, rearranges % F1 accordingly, zero pads F1 to a range defined in K2, % and returns signal F with sorted index K. if length(F1)~=length(K1) error('Length of F1 and ...
请问有大佬可以帮忙跑..%上海网络拓扑建模及分析main函数clearclosefname='sh1';Weight_Matrix=load([fname,'.txt']);Row=zeros
num_elements = numel(encrypted_vector);% 创建一个与 encrypted_vector 具有相同大小的全零数组decrypted_image = zeros(1, num_elements);% 解密过程for i = 1:iterationsx = R * x * (1 - x);% 对每个通道进行解密处理for c = 1:num_elementsdecrypted_image(c) = decrypted_image(c) + xor(...