Lookup Table Optimization
Lookup tables are an efficient way to write computationally-intense functions for fixed-point embedded devices. For example, you can efficiently implement logarithm, sine, and square-root using lookup tables. Using the Lookup Table Optimizer app, you can generate memory-efficient lookup tables that approximate functions, subsystems, and blocks. You can also use it to optimize an existing lookup tables to reduce memory usage.
Apps
| 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 (Since R2023a) |
Objects
LUTCompressionResult | Optimized lookup table data for all Lookup Table blocks in a system |
Functions
Topics
Lookup Table Optimizer App Workflow
- Optimize Lookup Tables for Memory-Efficiency
Optimize Lookup Tables using the Lookup Table Optimizer. - Generate an Optimized Lookup Table as a MATLAB Function
Use the Lookup Table Optimizer to generate a lookup table as a MATLAB® function.
Lookup Table Optimizer Command-Line Workflow
- Optimize Lookup Tables for Memory-Efficiency Programmatically
Optimize an existing lookup table, generate a lookup table from a Math Function block or function handle. - Fixed-Point Function Approximation
When a fixed-point library function is not available, fixed-point applications require an approximation of the function. - Approximate Functions with a Direct Lookup Table
Generate direct lookup table approximations of functions or blocks. - Replace Fitted Curve with Optimized Lookup Table
Reduce the size of lookup tables for functions with symmetry. - Generate an Optimized Lookup Table as a MATLAB Function Programmatically
Programmatically generate an optimized lookup table as a MATLAB function. - Optimize Lookup Tables for Periodic Functions
Reduce the size of lookup tables for functions with symmetry.
Prelookup and Interpolation in Simulink
- Fixed-Point Prelookup and Interpolation
This example demonstrates some of the features of Prelookup and Interpolation Using Prelookup blocks. - Sharing Parameters in Prelookup and Interpolation Blocks
This example shows how Prelookup and Interpolation blocks share their parameter data in generated code. - High Precision Calculations in Interpolation Block
This example shows how to perform high precision calculations in the Interpolation Using Prelookup block using internal rules. - Shared Utility Functions for Prelookup Blocks
This example shows how Prelookup blocks share utility functions.
Implement Lookup Tables in MATLAB
- Normalize Data for Lookup Tables
This example shows how to normalize data for use in lookup tables. - Implement Fixed-Point Log2 Using Lookup Table
This example shows how to implement fixed-point log2 using a lookup table. Lookup tables generate efficient code for embedded devices. - Implement Fixed-Point Square Root Using Lookup Table
This example shows how to implement fixed-point square root using a lookup table.
Featured Examples
Calculate Complex dB Using a Direct Lookup Table
Create an optimized direct lookup table calculating decibel levels.
Image Denoising Using Fixed-Point Quantized Restricted Boltzmann Machine Algorithm
Convert a Restricted Boltzmann Machine (RBM) algorithm to an embedded-efficient version.
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.
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.
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.
