Data Type Optimization in Simulink

Fixed-point data type optimization for an efficient design

Data type optimization automatically iterates through various fixed-point configurations to choose the optimal heterogeneous data types while meeting tolerance constraints on the numerical behavior of your system. The optimization seeks to minimize an objective function, such as total bit width or total operator counts, using fixed-point data types for an efficient design.

You can optimize data types using the fxpopt function at the command line, or by using the Optimized Fixed-Point Conversion workflow in the Fixed-Point Tool.

Functions

fxpoptOptimize data types of a system

Classes

fxpOptimizationOptionsSpecify options for data type optimization
OptimizationSolutionOptimized fixed-point implementation of system
OptimizationResult Result after optimizing fixed-point system

Topics

Data Type Conversion Overview

Convert data types in your model to fixed point in one of three ways.

Specify Behavioral Constraints

Use signal tolerances and model verification blocks to verify behavior of fixed-point implementation.

Optimize Fixed-Point Data Types for a System

Optimize data types in a system based on specified tolerances.

Optimize the Fixed-Point Data Types of a System Using the Fixed-Point Tool

Use the Fixed-Point Tool to optimize the data types of a system using multiple simulation scenarios.

Optimize Data Types Using Multiple Simulation Scenarios

Define multiple simulation scenarios for range collection and verification.

Troubleshooting

Blocks That Do Not Support Fixed-Point Data Types

Troubleshoot blocks that are not supported for fixed-point conversion.

Data Type Optimization Not Successful

Troubleshoot errors thrown during data type optimization using the fxpopt function.

Featured Examples

Optimize Data Types for an FPGA with DSP Slices

Optimize Data Types for an FPGA with DSP Slices

Use the addSpecification method to achieve better mapping for product and gain blocks.

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Convert Neural Network Algorithms to Fixed-Point using fxpopt and Generate HDL Code

Convert Neural Network Algorithms to Fixed-Point using fxpopt and Generate HDL Code

Convert a neural network to fixed point using fixed-point optimization and lookup table optimization.

Open Script
Image Denoising Using Fixed-Point Quantized Restricted Boltzmann Machine Algorithm

Image Denoising Using Fixed-Point Quantized Restricted Boltzmann Machine Algorithm

Convert a Restricted Boltzmann Machine (RBM) algorithm to an embedded-efficient version.

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Fixed-Point Designer Documentation

Support