Repmat:Replicate and tile an array
Repmat:Replicate and tile an array
Syntax
B = repmat(A,m,n)
B = repmat(A,[m n])
B = repmat(A,[m n p...])
Description
B = repmat(A,m,n) creates a large matrix B consisting of an m-by-n tiling of copies of A. The size of B is [size(A,1)*m, (size(A,2)*n]. The statement repmat(A,n) creates an n-by-n tiling.
B = repmat(A,[m n]) accomplishes the same result as repmat(A,m,n).
B = repmat(A,[m n p...]) produces a multidimensional array B composed of copies of A. The size of B is [size(A,1)*m, size(A,2)*n, size(A,3)*p, ...].
repmat(A,m,n) when A is a scalar, produces an m-by-n matrix filled with A's value and having A's class. For certain values, you can achieve the same results using other functions, as shown by the following examples: repmat(NaN,m,n) returns the same result as NaN(m,n). repmat(single(inf),m,n) is the same as inf(m,n,'single'). repmat(int8(0),m,n) is the same as zeros(m,n,'int8'). repmat(uint32(1),m,n) is the same as ones(m,n,'uint32'). repmat(eps,m,n) is the same as eps(ones(m,n)).
Examples
In this example, repmat replicates 12 copies of the second-order identity matrix, resulting in a "checkerboard" pattern.
B = repmat(eye(2),3,4) %size(eye(2),1) = 2; size(eye(2),2)=2;
B = %(3*2;4*2;) eye(2)整体向右变为8;向下变为6
1 0 1 0 1 0 1 0
0 1 0 1 0 1 0 1
1 0 1 0 1 0 1 0
0 1 0 1 0 1 0 1
1 0 1 0 1 0 1 0
0 1 0 1 0 1 0 1
The statement N = repmat(NaN,[2 3]) creates a 2-by-3 matrix of NaNs.
Repmat:Replicate and tile an array的更多相关文章
- Matlab编程基础
平台:Win7 64 bit,Matlab R2014a(8.3) “Matlab”是“Matrix Laboratory” 的缩写,中文“矩阵实验室”,是强大的数学工具.本文侧重于Matlab的编程 ...
- [Python Cookbook] Numpy: Multiple Ways to Create an Array
Convert from list Apply np.array() method to convert a list to a numpy array: import numpy as np myl ...
- UFLDL实验报告3:Self-taught
Self-taught 自我学习器实验报告 1.Self-taught 自我学习实验描述 自我学习是无监督特征学习算法,自我学习意味着算法能够从未标注数据中学习,从而使机器学习算法能够获得更大数量的数 ...
- K近邻分类算法实现 in Python
K近邻(KNN):分类算法 * KNN是non-parametric分类器(不做分布形式的假设,直接从数据估计概率密度),是memory-based learning. * KNN不适用于高维数据(c ...
- UFLDL实验报告2:Sparse Autoencoder
Sparse Autoencoder稀疏自编码器实验报告 1.Sparse Autoencoder稀疏自编码器实验描述 自编码神经网络是一种无监督学习算法,它使用了反向传播算法,并让目标值等于输入值, ...
- K-近邻算法python实现
内容主要来源于机器学习实战这本书.加上自己的理解. 1.KNN算法的简单描写叙述 K近期邻(k-Nearest Neighbor.KNN)分类算法能够说是最简单的机器学习算法了. 它採用測量不同特征值 ...
- R语言︱分布函数与概率密度+随机数产生
1.常见概率分布 ##正态分布 pnorm(1.96) #P(x<=1.96)时的分布概率 pnorm(1.96,0,1) #上同 pnorm(1.96,lower.tail = F) #P(x ...
- 机器学习之--KNN算法简单实现
# # kNN 分类算法 a = np.array([[1,1],[1.2,1.5],[0.3,0.4],[0.2,0.5]]) #构造样本数据 labels = ['A','A','B','B'] ...
- tensorflow faster rcnn 代码分析一 demo.py
os.environ["CUDA_VISIBLE_DEVICES"]=2 # 设置使用的GPU tfconfig=tf.ConfigProto(allow_soft_placeme ...
随机推荐
- Intel Code Challenge Elimination Round (Div.1 + Div.2, combined) C. Destroying Array
C. Destroying Array time limit per test 1 second memory limit per test 256 megabytes input standard ...
- value optimized out的问题
看redis源码,查看某个变量的值的时候出现:value optimized out 变量被编译优化掉了,看不到了. 解决方法: 在编译redis的时候,make添加参数.0表示编译的时候不对代码进行 ...
- unity脚本生命流程
渲染 OnPreCull: 在相机剔除场景之前调用此函数.相机可见的对象取决于剔除.OnPreCull 函数调用发生在剔除之前. OnBecameVisible/OnBecameInvisible: ...
- The RK3066/RK30SDK Android 4.2 audio codec has a bug!
在文件kernel/sound/soc/soc-core.c中,函数soc_bind_dai_link引入了一个新定义的宏CODEC_NAME_CMP,这个新玩意导致了后面的strcpy(p_code ...
- mysql 注意事项
1. mysql所有的存储引擎均不支持check约束,但可以使用check约束,而没有任何效果
- eclipse部署和启动guns
eclipse部署guns: 1.import -> 搜索maven -> Existing Maven Projects -> 选择guns根目录 2.修改配置文件: spring ...
- LeetCode OJ:Count and Say(数数)
The count-and-say sequence is the sequence of integers beginning as follows:1, 11, 21, 1211, 111221, ...
- linux命令学习笔记( 2 ) : cd 命令
Linux cd 命令可以说是Linux中最基本的命令语句,其他的命令语句要进行操作,都是建立在使用 cd 命令上的. 所以,学习Linux 常用命令,首先就要学好 cd 命令的使用方法技巧. . 命 ...
- HDU3727 Jewel(主席树+树状数组(或二分))
Problem Description Jimmy wants to make a special necklace for his girlfriend. He bought many beads ...
- Spring通过注解方式实现定时任务
XML配置: <?xml version="1.0" encoding="UTF-8"?> <beans xmlns="http:/ ...