quantizer

Create quantizer object

Description

The quantizer object describes data type properties to use for quantization. After you create a quantizer object, use quantize to quantize double-precision data. You can use the quantizer object to simulate custom floating-point data types with arbitrary word length and exponent length.

Creation

Syntax

q = quantizer

q = quantizer(Name,Value)

q = quantizer(Value1,Value2)

q = quantizer(s)

q = quantizer(pn,pv)

Description

q = quantizer creates a quantizer object with properties set to their default values. To use this object to quantize values, use quantize.

q = quantizer(Name,Value) sets named properties using name-value arguments. You can specify multiple name-value arguments. Enclose each property name in single quotes.

q = quantizer(Value1,Value2) sets properties using property values. Property values are unique; you can set the property names by specifying just the property values in the command. When two values conflict, quantizer sets the last property value in the list.

q = quantizer(s) sets properties named in each field name with the values contained in the structure s.

q = quantizer(pn,pv) sets the named properties specified in the cell array of character vectors pn to the corresponding values in the cell array pv.

You can use a combination of name-value string arguments, structures, and name-value cell array arguments to set property values when creating a quantizer object.

Properties

DataMode — Data type mode

'fixed' (default) | 'ufixed' | 'float' | 'single' | 'double'

Data type mode used in quantization, specified as one of these values:

• 'fixed' — Signed fixed-point mode.

• 'ufixed' — Unsigned fixed-point mode.

• 'float' — Custom-precision floating-point mode.

• 'single' — Single-precision mode. This mode overrides all other property settings.

• 'double' — Double-precision mode. This mode overrides all other property settings.

Data Types: char | struct | cell

RoundMode — Rounding method to use

'floor' (default) | 'ceil' | 'convergent' | 'fix' | 'nearest' | 'round'

Rounding method to use, specified as one of these values:

• 'ceil' — Round up to the next allowable quantized value.

• 'convergent' — Round to the nearest allowable quantized value. Numbers that are exactly halfway between the two nearest allowable quantized values are rounded up only if the least significant bit after rounding would be set to 0.

• 'fix' — Round negative numbers up and positive numbers down to the next allowable quantized value.

• 'floor' — Round down to the next allowable quantized value.

• 'nearest' — Round to the nearest allowable quantized value. Numbers that are halfway between the two nearest allowable quantized values are rounded up.

• 'round' — Round to the nearest allowable quantized value. Numbers that are halfway between the two nearest allowable quantized values are rounded up in absolute value.

Data Types: char | struct | cell

OverflowMode — Action to take on overflow

'saturate' (default) | 'wrap'

Action to take on overflow, specified as one of these values:

• 'saturate' — Overflows saturate.

  When the values of data to be quantized lie outside the range of the largest and smallest representable numbers as specified by the data format properties, these values are quantized to the value of either the largest or smallest representable value, depending on which is closest.

• 'wrap' — Overflows wrap to the range of representable values.

  When the values of data to be quantized lie outside the range of the largest and smallest representable numbers as specified by the data format properties, these values are wrapped back into that range using modular arithmetic relative to the smallest representable number.

This property only applies to fixed-point data type modes. This property becomes a read-only property when you set the DataMode property to float, double, or single.

Note

Floating-point numbers that extend beyond the dynamic range overflow to ±Inf.

Data Types: char | struct | cell

Format — Data format of quantizer object

[16 15] (default) | [wordlength fractionlength] | [wordlength exponentlength] | [64 11] | [32 8]

Data format of quantizer object. The interpretation of this property value depends on the value of the DataMode property.

DataMode Property Value	Interpreting the Format Property Values
fixed or ufixed	[wordlength fractionlength] Specify the Format property value as a two-element row vector, where the first element is the number of bits for the quantizer object word length and the second element is the number of bits for the quantizer object fraction length. The word length can range from 2 to the limits of memory on your PC. The fraction length can range from 0 to one less than the word length.
float	[wordlength exponentlength] Specify the Format property value as a two-element row vector, where the first element is the number of bits for the quantizer object word length and the second element is the number of bits for the quantizer object exponent length. The word length can range from 2 to the limits of memory on your PC. The fraction length can range from 0 to 11.
double	[64 11] The read-only Format property value automatically specifies the word length and exponent length.
single	[32 8] The read-only Format property value automatically specifies the word length and exponent length.

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64

Read-Only quantizer Object States

Read-only quantizer object states are updated when quantize is called. To reset these states, use reset.

max — Maximum value before quantization

scalar

Maximum value before quantization during a call to quantize(q,…) for quantizer object q. This value is the maximum value recorded over successive calls to quantize.

Example: max(q)

Example: q.max

min — Minimum value before quantization

scalar

Minimum value before quantization during a call to quantize(q,…) for quantizer object q. This value is the minimum value recorded over successive calls to quantize.

Example: min(q)

Example: q.min

noverflows — Number of overflows

scalar

Number of overflows during a call to quantize(q,…) for quantizer object q. This value accumulates over successive calls to quantize. An overflow is defined as a value that when quantized is outside the range of q.

Example: noverflows(q)

Example: q.noverflows

nunderflows — Number of underflows

scalar

Number of underflows during a call to quantize(q,…) for quantizer object q. This value accumulates over successive calls to quantize. An underflow is defined as a number that is nonzero before it is quantized and zero after it is quantized.

Example: nunderflows(q)

Example: q.nunderflows

noperations — Number of data points quantized

scalar

Number of quantization operations during a call to quantize(q,…) for quantizer object q. This value accumulates over successive calls to quantize.

Example: noperations(q)

Example: q.noperations

Object Functions

quantize	Quantize numeric data using quantizer object
unitquantize	Quantize numeric data using quantizer object except numbers within eps of +1
wordlength	Word length of quantizer object

Examples

Create quantizer Object

Create a quantizer object with default property values.

q = quantizer

q =


        DataMode = fixed
       RoundMode = floor
    OverflowMode = saturate
          Format = [16  15]

To copy a quantizer object, use assignment.

q = quantizer;
r = q;
isequal(q,r)

ans = logical
   1

Use property name-value arguments to set quantizer object properties.

q = quantizer('Mode','fixed','RoundMode','ceil',... 
'OverflowMode','saturate','Format',[5 4])

q =


        DataMode = fixed
       RoundMode = ceil
    OverflowMode = saturate
          Format = [5  4]

Set quantizer object properties by listing property values only in the command.

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

q =


        DataMode = fixed
       RoundMode = ceil
    OverflowMode = saturate
          Format = [5  4]

Use a structure to set quantizer object properties.

struct.DataMode = 'fixed';
struct.RoundMode = 'ceil';
struct.OverflowMode = 'saturate';
struct.Format = [5 4];
q = quantizer(struct)

q =


        DataMode = fixed
       RoundMode = ceil
    OverflowMode = saturate
          Format = [5  4]

Use property name and property value cell arrays to set quantizer object properties.

pn = {'Mode','RoundMode','Overflowmode','Format'}; 
pv = {'fixed','ceil','saturate',[5 4]}; 
q = quantizer(pn,pv)

q =


        DataMode = fixed
       RoundMode = ceil
    OverflowMode = saturate
          Format = [5  4]

Quantize Data with quantizer Objects

Use quantize to quantize data, see how quantization affects quantizer object states, and reset quantizer object states to their default values using reset.

Construct an example data set and create a quantizer object to specify the quantization parameters to use when you quantize the data set.

format long g
rng(0,'twister');
x = rng(100);
q = quantizer([16,14])

q =


        DataMode = fixed
       RoundMode = floor
    OverflowMode = saturate
          Format = [16  14]

Retrieve the values of max and noverflows.

q.max
q.noverflows

ans =

    -1.79769313486232e+308


ans =

     0

Note that max is equal to -realmax, which indicates that the quantizer q is in a reset state.

Use the quantize function to quantize the data set according to the specifications of the quantizer object.

y = quantize(q,x);

Warning: 625 overflow(s) occurred in the fi quantize operation. 

Check the values of max and noverflows.

q.max
q.noverflows

ans =

          1.99993896484375


ans =

   625

Note that the maximum logged value was taken after quantization, that is, q.max == max(y).

Reset and check the quantizer states.

reset(q)
q.maxlog
q.noverflows

ans =

    -1.79769313486232e+308


ans =

     0

Quantize Data Using the quantizer Object

This example shows how to quantize data using the properties specified by the quantizer object.

First, create some data to quantize.

x = linspace(-15,15,1000);

Quantize to Custom-Precision Floating-Point

Create a quantizer object specifying a custom-precision floating-point data mode with a word length of 6 bits and an exponent length of 4 bits.

q = quantizer('DataMode','float','Format',[6 4])

q =


        DataMode = float
       RoundMode = floor
          Format = [6  4]

The RoundMode property uses the default setting of 'Floor'.

Use the quantize function to quantize the data in x using the properties specified by the quantizer object.

y = quantize(q,x);

Plot y against x to visualize the effect of the specified quantization properties on this data.

plot(x,x,x,y); title(tostring(q)); 
legend('Input Data','Quantized Data','Location','northwest');

You can use read-only properties of the quantizer object to access more information.

q.noverflows

ans = 0

q.nunderflows

ans = 0

In this example, there were 0 overflows and 0 underflows that occurred in the quantization operation.

Quantize to Fixed-Point

Create a quantizer object specifying a signed fixed-point data mode with a word length of 6 bits, a fraction length of 1 bit, and wrap on overflow.

q = quantizer([6 1],'wrap')

q =


        DataMode = fixed
       RoundMode = floor
    OverflowMode = wrap
          Format = [6  1]

quantizer uses the default DataMode property, 'fixed', and the default RoundMode property, 'Floor'.

Use the quantize function to quantize the data in x using the properties specified by the quantizer object.

y = quantize(q,x);

Plot y against x to visualize the effect of the specified quantization properties on this data.

plot(x,x,x,y); title(tostring(q)); 
legend('Input Data','Quantized Data','Location','northwest');

You can use read-only properties of the quantizer object to access more information.

q.noverflows

ans = 0

q.nunderflows

ans = 17

In this example, there were 0 overflows and 17 underflows that occurred in the quantization operation.

Version History

Introduced before R2006a