Downsampler

Downsample by removing data samples between input samples

Since R2022b

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Libraries:
DSP HDL Toolbox / Signal Operations

Description

The Downsampler block downsamples an input signal by removing K–1 data samples between input samples. The block supports these combinations of input and output data.

• Scalar input and scalar output

• Vector input and scalar output

• Vector input and vector output

The block provides an architecture suitable for HDL code generation and hardware deployment.

Note

You can also generate HDL code for this hardware-optimized algorithm, without creating a Simulink^® model, by using the DSP HDL IP Designer app. The app provides the same interface and configuration options as the Simulink block.

Examples

Implement Downsampler For HDL

Downsample data by using the Downsampler block.

• Open Script

Ports

Input

data — Input data

scalar | column vector

Input data, specified as a scalar or a column vector with a length up to 64. The input data must be an integer or a fixed point with a word length less than or equal to 128. The Downsample factor (K) parameter must be an integer multiple of the input frame size.

The double and single data types are supported for simulation, but not for HDL code generation.

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

valid — Valid input data indicator

0 | 1

Control signal that indicates whether the input data is valid. When this value is 1, the block accepts the values on the data input port. When this value is 0, the block ignores the values on the data input port.

Data Types: Boolean

reset — Option to clear internal states

0 | 1

Control signal that clears the internal states. When this value is 1, the block stops the current calculation and clears its internal states. When this value is 0 and valid is 1, the block captures data for processing.

For more reset considerations, see the Reset Signal section on the Hardware Control Signals page.

Dependencies

To enable this port, on the Control Ports tab, select the Enable reset input port parameter.

Data Types: Boolean

Output

data — Downsampled data

scalar | column vector

Downsampled data, returned as a scalar or a column vector with a length up to 1 to 64.

For a vector input, if the vector size is less than or equal to Downsample factor (K), the block outputs scalar output.

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

valid — Valid output data indicator

0 | 1

Control signal that indicates whether data from the data output port is valid. When this value is 1, the block returns valid data on the data output port. When this value is 0, the values on the data output port are not valid.

Data Types: Boolean

Parameters

Main

Downsample factor (K) — Downsampling factor

2 (default) | integer in the range [1, 2.^16]

Specify the downsampling factor at which the block decreases the input sample rate.

Sample offset (0 to K-1) — Sample offset

0 (default) | integer in the range [0, 2.^16 – 1]

Specify the sample offset in the range [0, Downsample factor (K) – 1].

Control Ports

Enable reset input port — Option to enable reset input port

off (default) | on

Select this parameter to enable the reset input port. The reset signal implements a local synchronous reset of the data path registers.

For more reset considerations, see Tips.

Algorithms

Latency

The latency of the block changes according to the length of the input and the sample offset. V is the length of the input and O is the sample offset. The latency of block is 1 when you set the Downsample factor (K) parameter to 1. This table shows the latency of the block.

Input Data	Output Data	Latency in Clock Cycles
Scalar	Scalar	2 + O
Vector	Scalar	1 + floor(O/V)
Vector	Vector	2

Scalar Input

This figure shows the output of the block with the default configuration, when you set the Downsample factor (K) and Sample offset (0 to K-1) parameters to 2 and 0, respectively. The latency of the block is two clock cycles and is calculated as 2 + O, where O is the sample offset.

This figure shows the output of the block when you set the Downsample factor (K) parameter value to 8 and the Sample offset (0 to K-1) parameter value to 1. The latency of the block is three clock cycles.

Vector Input

This figure shows the output of the block for a two-element column vector input when you set the Downsample factor (K) and Sample offset (0 to K-1) parameters to 2 and 0, respectively. The latency of the block is one clock cycle.

This figure shows the output of the block for an eight-element column vector input when you set the Downsample factor (K) parameter value to 4 and the Sample offset (0 to K-1) parameter value to 1. The latency of the block is two clock cycles.

Performance

The performance of the synthesized HDL code varies with your target and synthesis options. The performance also varies based on the input data type.

This table shows the resource and performance data synthesis results of the block for a scalar input and for a 16-element column vector input of type fixdt(1,16,0) when you set the Downsample factor (K) and Sample offset (0 to K-1) parameters to 8 and 0, respectively. The generated HDL targets the AMD^® Zynq^®- 7000 ZC706 Evaluation Board.

Input Data	Slice LUTs	Slice Registers	Maximum Frequency in MHz
Scalar	14	37	985.58
Vector	18	66	972.66

The resources and frequencies vary based on the type of input data and the value of Downsample factor (K) as well as other parameter values you select in the block mask. Using a vector input can increase the throughput, however, doing so also increases the number of hardware resources that the block uses.

Extended Capabilities

C/C++ Code Generation

Generate C and C++ code using Simulink® Coder™.

This block supports C/C++ code generation for Simulink accelerator and rapid accelerator modes and for DPI component generation.

HDL Code Generation

Generate VHDL, Verilog and SystemVerilog code for FPGA and ASIC designs using HDL Coder™.

HDL Coder™ provides additional configuration options that affect HDL implementation and synthesized logic.

HDL Architecture

This block has one default HDL architecture.

HDL Block Properties

ConstrainedOutputPipeline	Number of registers to place at the outputs by moving existing delays within your design. Distributed pipelining does not redistribute these registers. The default is 0. For more details, see ConstrainedOutputPipeline (HDL Coder).
InputPipeline	Number of input pipeline stages to insert in the generated code. Distributed pipelining and constrained output pipelining can move these registers. The default is 0. For more details, see InputPipeline (HDL Coder).
OutputPipeline	Number of output pipeline stages to insert in the generated code. Distributed pipelining and constrained output pipelining can move these registers. The default is 0. For more details, see OutputPipeline (HDL Coder).

Version History

Introduced in R2022b