matlab 各种函数详解（收集）

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unique函数

格式  b = unique (a)         %取集合a的不重复元素构成的向量
b = unique (A,'rows')   %返回A、B不同行元素组成的矩阵
[b,i,j] = unique (…)     %i体现b中元素在原向量（矩阵a）中的位置；j体现原向量（矩阵a）在b中的位置
例1-39
>> A=[1 1 2 2 4 4 6  4  6]
A =
     1     1     2     2     4     4     6     4     6
>> [c,i,j]=unique(A)
c =
     1     2     4     6
i =
     2     4     8     9     %i体现b中元素在原向量（矩阵a）中的位置；
j =
   1     1     2     2     3     3     4     3     4   %j体现原向量（矩阵a）在b中的位置

例1-40
>> A=[1 2 2 4;1 1 4 6;1 1 4 6]
A =
   1     2     2     4
     1     1     4     6
     1     1     4     6
>> [c,i,j]=unique(A,'rows')
c =
     1     1     4     6
     1     2     2     4
i =
     3
     1
j =
     2
     1
     1

find -Find indices and values of nonzero elements

Syntax

ind = find(X) ind = find(X, k) ind = find(X, k, 'first') ind = find(X, k, 'last') [row,col] = find(X, ...) [row,col,v] = find(X, ...)

Description

ind = find(X) locates all nonzero elements of array X, and returns the linear indices of those elements in vector ind. If X is a row vector, then ind is a row vector; otherwise, ind is a column vector. If X contains no nonzero elements or is an empty array, then ind is an empty array.

ind = find(X, k) or ind = find(X, k, 'first') returns at most the first k indices corresponding to the nonzero entries of X. k must be a positive integer, but it can be of any numeric data type.

ind = find(X, k, 'last') returns at most the last k indices corresponding to the nonzero entries of X.

[row,col] = find(X, ...) returns the row and column indices of the nonzero entries in the matrix X. This syntax is especially useful when working with sparse matrices. If X is an N-dimensional array with N > 2, col contains linear indices for the columns. For example, for a 5-by-7-by-3 array X with a nonzero element atX(4,2,3), find returns 4 in row and 16 in col. That is, (7 columns in page 1) + (7 columns in page 2) + (2 columns in page 3) = 16.

[row,col,v] = find(X, ...) returns a column or row vector v of the nonzero entries in X, as well as row and column indices. If X is a logical expression, then v is a logical array. Output v contains the non-zero elements of the logical array obtained by evaluating the expression X. For example,

A= magic(4)A =    16     2     3    13     5    11    10     8     9     7     6    12     4    14    15     1[r,c,v]= find(A>10);r', c', v'ans =     1     2     4     4     1     3ans =     1     2     2     3     4     4ans =     1     1     1     1     1     1

Here the returned vector v is a logical array that contains the nonzero elements of N where

N=(A>10)

Examples

Example 1

X = [1 0 4 -3 0 0 0 8 6];indices = find(X)

returns linear indices for the nonzero entries of X.

indices =     1     3     4     8     9

Example 2

You can use a logical expression to define X. For example,

find(X > 2)

returns linear indices corresponding to the entries of X that are greater than 2.

ans =     3     8     9

Example 3

The following find command

X = [3 2 0; -5 0 7; 0 0 1];[r,c,v] = find(X)

returns a vector of row indices of the nonzero entries of X

r =     1     2     1     2     3

a vector of column indices of the nonzero entries of X

c =     1     1     2     3     3

and a vector containing the nonzero entries of X.

v =     3    -5     2     7     1

Example 4

The expression

X = [3 2 0; -5 0 7; 0 0 1];[r,c,v] = find(X>2)

returns a vector of row indices of the nonzero entries of N where N=(X>2)

r =     1     2

a vector of column indices of the nonzero entries of N where N=(X>2)

c =     1     3

and a logical array that contains the nonzero elements of N where N=(X>2).

v =     1     1

Recall that when you use find on a logical expression, the output vector v does not contain the nonzero entries of the input array. Instead, it contains the nonzero values returned after evaluating the logical expression.

Example 5

Some operations on a vector

x = [11  0  33  0  55]';find(x)ans =     1     3     5find(x == 0)ans =     2     4find(0 < x & x < 10*pi)ans =     1

Example 6

For the matrix

M = magic(3)M =     8     1     6     3     5     7     4     9     2find(M > 3, 4)

returns the indices of the first four entries of M that are greater than 3.

ans =     1     3     5     6

Example 7

If X is a vector of all zeros, find(X) returns an empty matrix. For example,

indices = find([0;0;0])indices =   Empty matrix: 0-by-1

isnan函数

[功能描述]
          判断数组中的元素是否为无穷大[函数描述]          tf=isnan(A)：返回一个与A相同维数的数组，若A的元素为NaN（非数值），在对应位置上返回逻辑1（真），否则返回逻辑0（假）。对虚数z，如果z的实部或虚部都是NaN，那么isnan函数返回逻辑1，如果实部和虚部都是inf，则返回逻辑0。
eye函数
Y = eye(n) 返回n乘n单一矩阵Y = eye(m,n) or eye([m n]) 对角线是1，其他是0。Y = eye(size(A)) 返回统一大小的单一矩阵
堆叠矩阵repmat
使用用法如下：
B = repmat(A,m,n)
B = repmat(A,[m n])
B = repmat(A,[m n p...])
这是一个处理大矩阵且内容有重复时使用，其功能是以A的内容堆叠在（MxN）的矩阵B中，B矩阵的大小由MxN及A矩阵的内容决定，如果A是一个3x4x5的矩阵，有B = repmat(A,2,3)则最后的矩阵是6x12x5
例如：
>>B=repmat( [1 2;3 4],2,3)
B = 
1      2      1     2    1    2
3      4      3     4    3    4
1     2     1     2     1     2
3     4     3     4     3     4

其结果变为4X6。Ａ也可以置放文字串，如：

>>C=repmat(' Long live the king!', 2,2)
C =
Long live the king! Long live the king!
Long live the king! Long live the king!

也可置放其他的：

>> D=repmat(NaN,2,5)

D =
NaN   NaN   NaN   NaN   NaN
NaN   NaN   NaN   NaN   NaN