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unitquantize

Quantize numeric data using quantizer object except numbers within eps of +1

Description

y = unitquantize(q,x) uses the quantizer object q to quantize numeric data in x. unitquantize works in the same way as quantize except that numbers within eps(q) of +1 are made exactly equal to +1.

example

[y1,y2,…] = unitquantize(q,x1,x2,…) is equivalent to y1 = unitquantize(q,x1), y2 = unitquantize(q,x2), … and so forth.

Examples

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Use unitquantize with a quantizer object to quantize data.

x = (0.8:.1:1.2)';
q = quantizer('fixed','floor','saturate',[4 3]);
y = unitquantize(q,x);
z = [x y]
e = eps(q)
z =

    0.8000    0.7500
    0.9000    1.0000
    1.0000    1.0000
    1.1000    1.0000
    1.2000    1.0000


e =

    0.1250

unitquantize quantizes the elements of x except for numbers within eps of +1.

x = [1 pi/4];
q = quantizer([8,7])

y1 = quantize(q,x)
y2 = unitquantize(q,x)
q =


        DataMode = fixed
       RoundMode = floor
    OverflowMode = saturate
          Format = [8  7]



Warning: 1 overflow(s) occurred in the fi quantize operation. 

y1 =

    0.9922    0.7812


y2 =

    1.0000    0.7812

Input Arguments

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Data type properties to use for quantization, specified as a quantizer object.

Example: q = quantizer('fixed','ceil','saturate',[5 4]);

Data to quantize, specified as a scalar, vector, matrix, multidimensional array, cell array, or structure.

  • When x is a numeric array, each element of x is quantized.

  • When x is a cell array, each numeric element of the cell array is quantized.

  • When x is a structure, each numeric field of x is quantized.

unitquantize does not change nonnumeric elements or fields of x, nor does it issue warnings for nonnumeric values. Numbers within eps(q) of +1 are made exactly equal to +1.

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | logical | struct | cell
Complex Number Support: Yes

Data to quantize (as separate elements), specified as a scalar, vector, matrix, multidimensional array, cell array, or structure.

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | logical | struct | cell
Complex Number Support: Yes

See Also

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Introduced in R2008a