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Quantizer

Discretize input at given interval

  • Library:
  • Simulink / Discontinuities

  • Quantizer block

Description

The Quantizer block discretizes the input signal using a quantization algorithm. The block uses a round-to-nearest method to map signal values to quantized values at the output that are defined by the Quantization interval. A smooth input signal can take on a stair-step shape after quantization.

This equation mathematically describes the round-to-nearest method:

y = q * round(u/q) 

where y is the quantized output, u is the input, and q is the Quantization interval.

Ports

Input

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Input signal to the quantization algorithm.

Data Types: single | double
Complex Number Support: Yes

Output

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Output signal composed of discrete values, quantized with a round-to-nearest approach:

y = q * round(u/q) 

where y is the output, u is the input, and q is the Quantization interval.

Data Types: single | double

Parameters

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Specify the quantization interval used in the algorithm. Quantization levels for the Quantizer block output are integer multiples of the Quantization interval.

Programmatic Use

Block Parameter: QuantizationInterval
Type: character vector
Value: Any real or complex value
Default: '0.5'

The linearization commands in Simulink® software treat this block as a gain in state space. Select this check box to cause the commands to treat the gain as 1. Clear the box to have the commands treat the gain as 0.

Programmatic Use

Block Parameter: LinearizeAsGain
Type: character vector
Value: 'off' | 'on'
Default: 'on'

Specify the sample time as a value other than -1. For more information, see Specify Sample Time.

Dependencies

This parameter is not visible unless it is explicitly set to a value other than -1. To learn more, see Blocks for Which Sample Time Is Not Recommended.

Programmatic Use

Block Parameter: SampleTime
Type: character vector
Values: scalar or vector
Default: '-1'

Block Characteristics

Data Types

double | single

Direct Feedthrough

yes

Multidimensional Signals

no

Variable-Size Signals

no

Zero-Crossing Detection

no

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using Simulink® Coder™.

Introduced before R2006a