Generated reference › Quantizer — Control Systems/Discontinuities
kind: generated#block#control-systems-discontinuities

Quantizer — Control Systems/Discontinuities

Control_Systems/Discontinuities/Quantizer · 1 input / 1 output port(s) at insert · exports to Python, MATLAB, Java, Rust, C, C++, VHDL, Verilog, SystemVerilog, PLC Structured Text

Description#

The block's own DESCRIPTION_HTML, rendered verbatim — the same text the config dialog's info panel and the library navigator show. Fix a wrong sentence in the block's .cpp (R-D9), never here.

Quantizer

Control Systems / Discontinuities

Snaps the input onto a lattice of equally spaced levels: y = q · round(u / q), where q is the quantization interval. The result is the staircase an ADC or a fixed-resolution sensor produces. Applied entry by entry, so a matrix signal is quantized element for element.

Ports

  • Input – the signal u, of any size [m,n].
  • Output – the quantized signal y, of the SAME size [m,n]. The block never reshapes a signal.

Parameters

  • Quantization Interval – scalar, the spacing q between levels. Defaults to 0.5, as in Simulink. It must be strictly positive; a zero or negative interval is reported and the run is stopped rather than dividing by zero.
  • Sampling Time (s) – zero or less inherits the solver's rate; a positive value runs the block at that period.

Code export

All ten targets: Python, MATLAB, Java, Rust, C, C++, VHDL, Verilog, SystemVerilog and PLC Structured Text. The interval is baked in as a constant at export time.

The rounding is half away from zero, as in MATLAB. Not every language agrees by default – numpy rounds halves to even, and Java's Math.round is a floor on a long – so those two targets emit an explicit truncation form rather than the built-in, and every target lands on the same level.

The three HDL targets carry no divider, so they multiply by the constant 1/q and round by shifting. That is round-half-up, which parts from half-away-from-zero only when a sample lands exactly on a half-level.

Simulink bridge

Import and export, mapped to simulink/Discontinuities/Quantizer. "Quantization Interval" to QuantizationInterval as a plain pass-through value, so the round trip is lossless. "Sampling Time (s)" goes to SampleTime, as on every block.

Notes

  • Algebraic, with no state.
  • Zero is always a level, and the lattice is symmetric about it.
  • Not linear, and so deliberately carries no state space – model reduction reports it as unmergeable rather than absorbing the staircase.

Code facts#

FactValue
registered typeControl_Systems/Discontinuities/Quantizer
familyControl_Systems/Discontinuities
solver environment classICoreBlock_0_Control_Systems_1_Discontinuities_2_Quantizer
sourcesrc/ICoreSDK/ICoreBlockLibrary/Blocks/Control_Systems/Discontinuities/Quantizer/ICoreBlock_0_Control_Systems_1_Discontinuities_2_Quantizer.cpp
headersrc/ICoreSDK/ICoreBlockLibrary/Blocks/Control_Systems/Discontinuities/Quantizer/ICoreBlock_0_Control_Systems_1_Discontinuities_2_Quantizer.h
default size on canvas70 × 70 px
ports at insert1 in, 1 out
code generators implementedPython, MATLAB, Java, Rust, C, C++, VHDL, Verilog, SystemVerilog, PLC Structured Text

Ports#

#DirectionSignal typeDescription label
1inICoreDouble
2outICoreDouble

Ports the constructor creates. A block whose port list changes with its configuration adds or removes ports at load time; the count above is the one a freshly inserted block has.

Configuration variables#

Config variableDefaultSimulink parameter
Quantization Interval0.5QuantizationInterval

Every block also carries Sampling Time (s) from ICoreBlockSolverEnvironment: zero or less inherits the solver's rate, a positive value runs the block at that period.

supportSupport::Both
Simulink pathsimulink/Discontinuities/Quantizer
port-count rulePortsParam::None
SampleTime parameteryes
ICore configSimulink parameterValue translation
Quantization IntervalQuantizationIntervalpasses through

Catalog contract: src/ICoreSDK/ICoreCoder/ICoreCommandSystem/SimulinkBridge/ICoreSimulinkBlockCatalog.h

Description vs code#

The lists agree. check_block_descriptions.py finds no disagreement between the description's Ports, Parameters, Code export and Simulink bridge lists and the code's.

The verdict above is tools/docs/check_block_descriptions.py (P7.1), which compares LISTS. It cannot read a sentence: "stateless" on a block with a state, an initial-value semantic the recursion does not implement, a "not synthesizable" caveat the HDL banner contradicts. That is the agent audit (P7.3) on BLOCK_DESCRIPTION_AUDIT.md, and this tool's green is not a substitute for one.

File banner (developer view)#

The top comment of the block's .cpp — the maths, the realization and the export strategy, addressed to whoever changes it. It must not contradict the description above (P7.5).

Quantizer block — snap to a lattice of step q y = q * round(u/q), entry by entry. Algebraic and stateless, no state space (see header).

Rounding convention: HALF AWAY FROM ZERO, matching MATLAB/Simulink. Python and Java get an explicit form because np.round is banker's and Math.round is floor(x+0.5) on a long. The HDL targets have no divider: they multiply by the constant 1/q and round by shifting.

Sample results#

Quantizer — Repeating Sequence Stair: [-2 -1 -0.5 0 0.5 1 2 3], one entry per sampleQuantizer — Repeating Sequence Stair: [-2 -1 -0.5 0 0.5 1 2 3], one entry per sample-202-2-10123inputoutput
tin ICoreDouble-Out-0out ICoreDouble-Out-0
0-2-2
0.40.50.5
0.8-2-2
1.20.50.5
1.6-2-2
20.50.5
2.4-2-2
2.80.50.5
3.2-2-2
3.60.50.5
4-2-2
4.40.50.5
4.8-2-2
5.20.50.5

Every 4th of 60 samples, from the table stimulus.

The same rig also ran:

StimulusWhat it isOutput range
impulseImpulse: one sample of 1 at k = 5, 0 elsewhere (Repeating Sequence Stair)0 … 1
rampRamp: slope 1 from t = 00 … 6
sineSine Wave: amplitude 1, 2 rad/s, no phase, no bias-1 … 1
stepStep: 0 -> 1 at t = 1 s0 … 1

Plotted: table — Repeating Sequence Stair: [-2 -1 -0.5 0 0.5 1 2 3], one entry per sample

Category static · sample time 0.1 · 60 steps · commit ccf005c8 · produced by docsSample --out <folder> --steps 60 · data docs/generated/samples/Control_Systems__Discontinuities__Quantizer.json · the SVG is generated from those numbers by tools/docs/plot_svg.py, so it is a run and not a drawing (R-D10).