Approximation de fonctions avec des lookup tables

Créer et optimiser des lookup tables de fonctions dans Simulink^®

Lookup Table Optimizer vous permet de générer des lookup tables efficaces au niveau de la mémoire, qui approximent les fonctions, les sous-systèmes et les blocs. Vous pouvez également l’utiliser pour optimiser un bloc Lookup Table existant.

Applications

Lookup Table Optimizer

Optimize existing lookup table or approximate function with lookup table

Classes

`FunctionApproximation.Problem`	Object defining the function to approximate, or the lookup table to optimize
`FunctionApproximation.Options`	Specify additional options to use with `FunctionApproximation.Problem` object
`FunctionApproximation.LUTSolution`	Optimized lookup table data or lookup table data approximating a math function
`FunctionApproximation.LUTMemoryUsageCalculator`	Calculate memory used by lookup table blocks in a system
`FunctionApproximation.TransformFunction`	Object defining transform function to approximate (depuis R2023a)

Objets

LUTCompressionResult Optimized lookup table data for all Lookup Table blocks in a system (depuis R2020a)

Fonctions

`FunctionApproximation.compressLookupTables`	Compress all Lookup Table blocks in a system (depuis R2020a)
`coder.approximation`	Create function replacement configuration object
`DataTypeWorkflow.findDecoupledSubsystems`	Get a list of subsystems to replace with an approximation

Rubriques

Optimize Lookup Tables for Memory-Efficiency
Optimize Lookup Tables using the Lookup Table Optimizer.
Optimize Lookup Tables for Memory-Efficiency Programmatically
Optimize an existing lookup table, generate a lookup table from a Math Function block or function handle.
Generate an Optimized Lookup Table as a MATLAB Function
Use the Lookup Table Optimizer to generate a lookup table as a MATLAB^® function.
Generate an Optimized Lookup Table as a MATLAB Function Programmatically
Programmatically generate an optimized lookup table as a MATLAB function.
Approximate Functions with a Direct Lookup Table
Generate direct lookup table approximations of functions or blocks.
Replace Functions in a MATLAB Function Block with a Lookup Table
Automatically replace functions in a MATLAB Function Block with a lookup table replacement.
Convert Floating-Point Model to Fixed Point
Use the Fixed-Point Tool to convert a floating-point model to fixed point.

Exemples présentés

Fixed-Point Function Approximation

When a fixed-point library function is not available, fixed-point applications require an approximation of the function. Often, an interpolated look up table is used to store an approximation of the function over a specified range.

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Calculate Complex dB Using a Direct Lookup Table

Create an optimized direct lookup table calculating decibel levels.

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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.

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Convert Neural Network Algorithms to Fixed Point and Generate C Code

Convert a neural network to fixed point using the Fixed-Point Tool and lookup table optimization.

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Convert Digit Recognition Neural Network to Fixed Point and Generate C Code

Create an embedded efficient neural network using the Fixed-Point Tool and Lookup Table Optimizer.

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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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Optimize Lookup Tables for Periodic Functions

Reduce the size of lookup tables for functions with symmetry.

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Replace Fitted Curve with Optimized Lookup Table

Reduce the size of lookup tables for functions with symmetry.

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High Precision Calculations in Interpolation Block

Perform high precision calculations in the Interpolation Using Prelookup block using internal rules. The Interpolation block allows the data type for intermediate results to be set.

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Fixed-Point Prelookup and Interpolation

Demonstrates some of the features of Prelookup and Interpolation Using Prelookup blocks.

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Sharing Parameters in Prelookup and Interpolation Blocks

How Prelookup and Interpolation blocks share their parameter data in generated code.

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Shared Utility Functions for Prelookup Blocks

How Prelookup blocks share utility functions. The utility functions generated by the Prelookup block are determined by the target data type of the block's inputs, outputs, and breakpoint parameter, as well as the Index search method and Integer rounding mode. Even if the two Prelookup blocks in this model have different data types, they fulfill the above requirements and share their utility functions.

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