Minimum
The minimum values of the input data or the sequence of input data.
blockType: Minimum
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Path in the library: |
Description
Block Minimum defines the value and position of the smallest element in each row or column of input data or along vectors of a given input size. It can also calculate the minimum value of the entire input signal. The Mode parameter defines the operating mode of the unit and can be set to one of the following values:
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Value— the block outputs the minimum values in the specified dimension. -
Index— the block outputs an array of indexes with the minimum values in the specified dimension. -
Value and Index— the block outputs the minimum values and the corresponding array of indexes in the specified dimension.
You can specify the size using the Find the minimum value over parameter.
Ports
Entrance
In — data entry
vector | the matrix
The block accepts multi-channel and multidimensional input data with a real or complex value. The input data can be floating point or boolean.
Data types: Float16, Float32, Float64, Int8, Int16, Int32, Int64, Int128, UInt8, UInt16, UInt32, UInt64, UInt128
Output
Val — minimum values for the specified pass size:q[<br>] scalar | vector | the matrix
The data type of the minimum value corresponds to the data type of the input data.
If the Mode parameter is set to either Value and Index, or Value, the following applies:
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The size of the dimension for which the block calculates the minimum value is
1. The dimensions of all other dimensions match the dimensions of the input array. For example, when the input signal is an array M by N by P with a size set to1, the block outputs an array of 1 by N by P. When the dimension is set to3, the block outputs a two - dimensional matrix M to N. -
When the input signal is an M by N matrix with the size set to
1, the block outputs a 1- by - N matrix .
If you specify a block to calculate the minimum value for all input data, the block will produce a scalar.
Data types: Float16, Float32, Float64, Int8, Int16, Int32, Int64, Int128, UInt8, UInt16, UInt32, UInt64, UInt128
Idx is the index of minimum values along the specified pass dimension:q[<br>] scalar | vector | the matrix
When the input data is double, the index values are also doubled. Otherwise, the index values are equal UInt32.
Dependencies
To use this port, set the Mode parameter to either Value and Index, or Value.
Data types: Float64
Parameters
Main
Mode — the mode in which the pass block operates:q[<br>] Value and Index (by default) | Value | Index
When the Mode parameter is set to:
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Value— the block calculates the minimum value in each row or column of input data along the vectors of a given input data size or the entire input signal at each sampling moment and outputs an array . Each element in It is the minimum value in the corresponding column, row, vector, or in all input data. The output of y depends on the setting of the Find the minimum value over parameter. Consider a three-dimensional input signal of size M by N by P. Find the minimum value over is set to:-
Each row— output data At each moment, the samples consist of an array M by 1 by P, where each element contains the minimum value of each vector in the second dimension of the input data. For the input data of an M by N matrix, the output data at each sampling moment is an M by 1 column vector. -
Each column— output data At each moment, the samples consist of an array of size 1 by N by P, where each element contains the minimum value of each vector in the first dimension of the input data. For an input matrix of size M by N, the output signal at each sampling moment is a vector of rows of size 1 by N.In this mode, the block processes the input data of undirected vectors of length as column vectors of size M by 1.
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Entire input— withdrawal at each moment of the sample, it is a scalar that contains the minimum value in the input matrix M by N by P. -
Specified dimension— output signal at each moment of the sample, it depends on the size. If the value is set for the measurement1the output data will be the same as when selecting each column. If the dimension is set to2the output data will be the same as when selecting each row. If the dimension is set to3, then the output data at each sampling moment is an M by N matrix containing the minimum value of each vector in the third dimension of the input data.
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Comprehensive input data
For complex input data, the block selects a value in each row or column of input data along the vectors of a given input data size or the entire input signal, which has a minimum value squared, as shown in the following figure. For a complex value the square of the value is .
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Index— the block calculates the minimum value in each row or column of input data along vectors of a given input data size or the entire input signal and outputs an array of indexes . Each element in is an integer that indexes the minimum value in the corresponding column, row, vector, or the entire input. Result depends on the setting of the Find the minimum value over parameter. Consider a three-dimensional input signal of size M by N by P:-
Each row— withdrawal At each moment, the sample consists of an array M by 1 by P, where each element contains the index of the minimum value of each vector in the second dimension of the input data. For the input data, which is an M by N matrix, the output data at each sampling point is an M by 1 column vector. -
Each column— withdrawal At each moment, the sample consists of an array of size 1 by N by P, where each element contains the index of the minimum value of each vector in the first dimension of the input data. For the input data, which is an M by N matrix, the output data at each sampling point is a vector of rows 1 by N.
In this mode, the block processes the input data of undirected vectors of length as column vectors of size M by 1.
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Entire input— withdrawal at each moment of the sample, it is a vector of size 1 by 3, which contains the location of the minimum value in the input matrix M by N by P. For the input data, which is an M by N matrix, the output data is a 1 by 2 vector. -
Specified dimension— withdrawal at each moment of the sample, it depends on the size. If the value is set for the measurement1the output data will be the same as when selecting each column. If the dimension is set to2the output data will be the same as when selecting each row. If the dimension is set to3, then the output data at each sampling moment is an M by N matrix containing the indices of the minimum values of each vector in the third dimension of the input data.
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When the minimum value occurs more than once, the calculated index corresponds to the first occurrence. For example, when the input data is a column vector [3 2 1 2 3]', the calculated index of the minimum value based on the unit is 1 rather than 5 when selected Each column.
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Value and Index— the block outputs the minimum value in each row or column of input data along the vectors of the specified input data dimension or the entire input signal and the corresponding array of indexes .
Find the minimum value over — the measurement by which the block calculates the minimum value of
Each column (by default) | Each row | Entire input | Specified dimension
Each column — the block outputs the minimum value for each column.
Each row — the block outputs the minimum value for each row.
Entire input — the block outputs the minimum value for the entire input.
Specified dimension — the block outputs the minimum value compared to the size specified in the Dimension parameter.
Dependencies
To use this option, set Mode to Index, on Value, or on Value and Index.
Dimension — custom dimension of
1 (default) | scalar
Specify the dimension (the value based on the unit) of the input signal from which the block calculates the minimum. The value of this parameter must be greater than 0 and less than the number of measurements in the input signal.
Dependencies
To use this parameter, set Find the maximum value over to Specified dimension.