给你一个函数，maxnum 这个函数可以统计一个矩阵里面出现次数最多的元素，并且返回给元素出现的次数。 使用方法：[x,n]=maxnum(A) 其中A是输入的矩阵，x是出现次数最多的元素，n是x出现的次数。需要实现该功能，将我给你的maxnum.p文件放在你的工作目录内。 示例： >> [x,n]=maxnum([1,2...
零矩阵（Zero Matrix）通过zeros函数创建，其元素均为0。创建格式：zeros(m, n): 生成一个m行n列的零矩阵。zeros(n): 生成一个n×n的零矩阵。zeros(size(A)): 生成一个与矩阵A大小相同的零矩阵。zeros(m, n, 'like', P): 生成一个与矩阵P类型相同、大小为m行n列的零矩阵。示例：A =...
在MATLAB中,通用的特殊矩阵主要包括以下几种,每种都有其特定的函数来创建: 零矩阵(Zero Matrix) 使用zeros函数创建,,元素全为0。 格式: zeros(m, n): 创建一个m行n列的零矩阵。 zeros(n): 创建一个n×n的零矩阵。 zeros(size(A)): 创建一个与矩阵A同样大小的零矩阵。 zeros(m, n, 'like', P):...
Create Identity Matrix with Fixed-Point Properties View MATLAB Command Create a prototype fi object, p. p = fi([],1,16,14); Create a 3-by-4 identity matrix with the same fixed-point properties as p. I = eye(3,4,'like',p) I=3×4 object 1 0 0 0 0 1 0 0 0 0 1 0...
The MATLAB exponentiation operator ^ applies to matrices. >>A=11;10A=1110 >>A∧8ans=34212113 A is known as the Fibonacci matrix, since it generates elements from the famous Fibonacci sequence 0,1,1,2,3,5,8,13,21,34,… Example 1.10 Let A=74−9−5. Let’s investigate powers of...
clear all % generates one dimensional fractional Brownian motion 'W' on t in [0,1] using 'n' grid points % the method used applies FFT to a circulant covariance matrix % for a detailed mathematical explanation of the Matlab code and further % examples see % Kroese, D.P. and Botev, ...
Identity Gate and Its Matrix Representation Create an identity gate that acts on a single qubit. g = idGate(1) g = SimpleGate with properties: Type: "id" ControlQubits: [1×0 double] TargetQubits: 1 Angles: [1×0 double] Get the matrix representation of the gate. M = getMatrix(g)...
The identification instrument is characterized in that a single hand-hold handle digital camera with a particular diopter camera lens collects an eyeground retinal vessel image, C language, MATLAB (matrix laboratory), gauss filtration and the like are used for carrying out identification pretreatment ...
We utilized a sparse mask generated from the group average dense functional connectivity for sparsification of individual connectomes. The binary mask can be found in./data/sparse_mask/functional_sparse_mask_1%_density.npz. This is a sparse matrix that can be loaded usingscipy.sparse.load_npz. ...
volumes were acquired with a parallel imaging sequence with the following parameters: repetition time, 2 s; echo time, 22 ms; flip angle, 90°; multi-band acceleration factor, 2; slice thickness, 2 mm; no gap; number of slices, 58; interleaved slice acquisition order; matrix size,...