For given input, find index of nearest codeword based on Euclidean or weighted Euclidean distance measure
Quantizers
dspquant2
The Vector Quantizer Encoder block compares each input column vector to the codeword vectors in the codebook matrix. Each column of this codebook matrix is a codeword. The block finds the codeword vector nearest to the input column vector and returns its zerobased index. This block supports real floatingpoint and fixedpoint signals on all input ports.
The block finds the nearest codeword by calculating the distortion. The block uses two methods for calculating distortion: Euclidean squared error (unweighted) and weighted Euclidean squared error. Consider the codebook, $$CB=\left[\begin{array}{cccc}C{W}_{1}& C{W}_{2}& \mathrm{...}& C{W}_{N}\end{array}\right]$$. This codebook has N codewords; each codeword has k elements. The ith codeword is defined as a column vector, $$C{W}_{i}=\left[\begin{array}{cccc}{a}_{1i}& {a}_{2i}& \mathrm{...}& {a}_{ki}\end{array}\right]$$. The multichannel input has M columns and is defined as $$U=\left[\begin{array}{cccc}{U}_{1}& {U}_{2}& \mathrm{...}& {U}_{M}\end{array}\right]$$, where the pth input column vector is $${U}_{p}={\left[\begin{array}{cccc}{u}_{1p}& {u}_{2p}& \mathrm{...}& {u}_{kp}\end{array}\right]}^{\prime}$$. The squared error (unweighted) is calculated using the equation
$$D={\displaystyle \sum _{j=1}^{k}{\left({a}_{ji}{u}_{jp}\right)}^{2}}$$
$$D={\displaystyle \sum _{j=1}^{k}{w}_{j}{\left({a}_{ji}{u}_{jp}\right)}^{2}}$$
You can select how you want to enter the codebook values using
the Source of codebook parameter. When you select Specify
via dialog
, you can type the codebook values into the
block parameters dialog box. Select Input port
and
port C appears on the block. The block uses the input to port C as
the Codebook parameter.
The Codebook parameter is an kbyN matrix of values, where k ≥ 1 and N ≥ 1. Each input column vector is compared to this codebook. Each column of the codebook matrix is a codeword, and each codeword has an index value. The first codeword vector corresponds to an index value of 0, the second codeword vector corresponds to an index value of 1, and so on. The codeword vectors must have the same number of rows as the input, U.
For the Distortion measure parameter, select Squared
error
when you want the block to calculate the distortion
by evaluating the Euclidean distance between the input column vector
and each codeword in the codebook. Select Weighted squared
error
when you want to use a weighting factor to emphasize
or deemphasize certain input values.
For the Source of weighting factor parameter,
select Specify via dialog
to enter a weighting
factor vector in the dialog box. Choose Input port
to
specify the weighting factor using port W.
Use the Weighting factor parameter to emphasize
or deemphasize certain input values when calculating the distortion
measure. For example, consider the pth input column
vector, $${U}_{p}$$, as previously defined. When you want to neglect
the effect of the first element of this vector, enter [0
1 1 ... 1]
as the Weighting factor parameter.
This weighting factor is used to calculate the weighted squared error
using the equation
$$D={\displaystyle \sum _{j=1}^{k}{w}_{j}{\left({a}_{ji}{u}_{jp}\right)}^{2}}$$
Use the Index output data type parameter
to specify the data type of the index values output at port I. The
data type of the index values can be int8
, uint8
, int16
, uint16
, int32
,
or uint32
.
When an input vector is equidistant from two codewords, the
block uses the Tiebreaking rule parameter to
determine which index value the block chooses. When you want the input
vector to be represented by the lower index valued codeword, select Choose
the lower index
. To represent the input column vector
by the higher index valued codeword, select Choose the
higher index
.
Select the Output codeword check box to output at port Q(U) the codeword vectors that correspond to each index value. When the input is a matrix, the corresponding codeword vectors are horizontally concatenated into a matrix.
Select the Output quantization error check box to output at port D the quantization error that results when the block represents the input column vector by its nearest codeword. When the input is a matrix, the quantization error values are horizontally concatenated.
The Vector Quantizer Encoder block accepts real floatingpoint and fixedpoint inputs. For more information on the data types accepted by each port, see Data Type Support or Supported Data Types.
The input data values, codebook values, and weighting factor
values are input to the block at ports U, C, and W, respectively.
The data type of the input data values, codebook values, and weighting
factor values can be double
, single
,
or Fixedpoint. The input data, codebook values, and weighting factor
must be the same data type.
The outputs of the block are the index values, output codewords,
and quantization error. Use the Index output data type parameter
to specify the data type of the index output from the block at port
I. The data type of the index can be int8
, uint8
, int16
, uint16
, int32
,
or uint32
. The data type of the output
codewords and the quantization error can be double
, single
,
or Fixedpoint. The block assigns the data type of the output codewords
and the quantization error based on the data type of the input data.
The following diagram shows the data types used within the Vector Quantizer Encoder block for fixedpoint signals.
You can set the product output, accumulator, and index output data types in the block dialog as discussed below.
The Main pane of the Vector Quantizer Encoder block dialog appears as follows.
Choose Specify via dialog
to type
the codebook values into the block parameters dialog box. Select Input
port
to specify the codebook values using the block's
input port, C.
Enter a kbyN matrix
of values, where 1 ≤ k and 1
≤ N, to which your
input column vector or matrix is compared. This parameter is visible
if, from the Source of codebook list, you select Specify
via dialog
.
Select Squared error
when you want
the block to calculate the distortion by evaluating the Euclidean
distance between the input column vector and each codeword in the
codebook. Select Weighted squared error
when
you want the block to calculate the distortion by evaluating a weighted
Euclidean distance using a weighting factor to emphasize or deemphasize
certain input values.
Select Specify via dialog
to enter
a value for the weighting factor in the dialog box. Choose Input
port
and specify the weighting factor using port W on
the block. This parameter is visible if, for the Distortion
measure parameter, you select Weighted squared
error
.
Enter a vector of values. This vector must have length equal
to the number of rows of the input, U. This parameter is visible if,
for the Source of weighting factor parameter,
you select Specify via dialog
.
Set this parameter to determine the behavior of the block when
an input column vector is equidistant from two codewords. When you
want the input column vector to be represented by the lower index
valued codeword, select Choose the lower index
.
To represent the input column vector by the higher index valued codeword,
select Choose the higher index
.
Select this check box to output the codeword vectors nearest to the input column vectors.
Select this check box to output the quantization error value that results when the block represents the input column vector by the nearest codeword.
Select int8
, uint8
, int16
, uint16
, int32
,
or uint32
as the data type of the index
output at port I.
The Data Types pane of the Vector Quantizer Encoder block dialog appears as follows.
Select the rounding mode for fixedpoint operations.
Select the overflow mode to be used when block inputs are fixed point.
As depicted above, the output of the multiplier is placed into the product output data type and scaling. Use this parameter to specify how you would like to designate this product output word and fraction lengths.
When you select Same as input
,
these characteristics match those of the input to the block.
When you select Binary point scaling
,
you can enter the word length and the fraction length of the product
output, in bits.
When you select Slope and bias scaling
,
you can enter the word length, in bits, and the slope of the product
output. This block requires poweroftwo slope and zero bias.
As depicted above, inputs to the accumulator are cast to the accumulator data type. The output of the adder remains in the accumulator data type as each element of the input is added to it. Use this parameter to specify how you would like to designate the accumulator word and fraction lengths.
When you select Same as product output
,
these characteristics match those of the product output.
When you select Same as input
,
these characteristics match those of the input to the block.
When you select Binary point scaling
,
you can enter the word length and the fraction length of the accumulator,
in bits.
When you select Slope and bias scaling
,
you can enter the word length, in bits, and the slope of the accumulator.
This block requires poweroftwo slope and zero bias.
Gersho, A. and R. Gray. Vector Quantization and Signal Compression. Boston: Kluwer Academic Publishers, 1992.
Port  Supported Data Types 

U 

C 

W 

I 

Q(U) 

D 

Quantizer  Simulink 
Scalar Quantizer Decoder  DSP System Toolbox 
Scalar Quantizer Design  DSP System Toolbox 
Uniform Encoder  DSP System Toolbox 
Uniform Decoder  DSP System Toolbox 
Vector Quantizer Decoder  DSP System Toolbox 