Implement Lookup Tables in MATLAB

Replace computationally-intense functions with lookup tables

Lookup tables are an efficient way to write computationally-intense functions for fixed-point embedded devices. For example, you can efficiently implement logarithm, sine, cosine, tangent, and square-root using lookup tables.

Functions

`fixed.interp1`	1-D data interpolation (table lookup) (Since R2024a)
`fixed.interp2`	Interpolation for 2-D gridded data in `meshgrid` format (Since R2024a)
`fixed.interp3`	Interpolation for 3-D gridded data in `meshgrid` format (Since R2024a)
`fixed.interpn`	Interpolation for 1-D, 2-D, 3-D, and N-D gridded data in `ndgrid` format (Since R2024a)

Topics

Replace the exp Function with a Lookup Table
Replace a function with a lookup table approximation in fixed-point code generated with the Fixed-Point Converter app.
Replace a Custom Function with a Lookup Table
Replace a custom function with a lookup table approximation function by using the Fixed-Point Converter app.

Featured Examples

Normalize Data for Lookup Tables

Normalize data for use in lookup tables.

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Implement Fixed-Point Log2 Using Lookup Table

Implement fixed-point log2 using a lookup table. Lookup tables generate efficient code for embedded devices.

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Implement Fixed-Point Square Root Using Lookup Table

Implement fixed-point square root using a lookup table.

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