This version (07 Jul 2015 07:06) was approved by prasanna thirumaleshwara.The Previously approved version (21 Jun 2012 20:41) is available.Diff

Linear Interpolator

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The Linear Interpolator maps an input function to a set of data points that are stored in an index table. If the input function does not align exactly with a table point, the output value will be approximated using a linear interpolant, or a line drawn between the two closest points on the index table.
Linear interpolation is a common calculation for a variety of computing applications such as computer graphics. In SigmaStudio, it can be used to make an input-to-output transfer function for audio or control signals without requiring many table points or calculations.

Input Pins

NameFormat [int/dec] - [control/audio]Function Description
Pin 0: Inputinteger or decimal - control or audioInput signal that will be mapped via the linear interpolation function

Output Pins

NameFormat [int/dec] - [control/audio]Function Description
Pin 0: Outputinteger or decimal - control or audioOutput signal which is the result of the linear interpolation function

GUI Controls

GUI Control NameDefault ValueRangeFunction Description
Max5-15.99 to +15.99The maximum allowable input value. For full-scale audio, use 1.
Min1-15.99 to +15.99The minimum allowable input value. For full-scale audio, use -1.
Pts51 to 100The number of points in the linear interpolation function
Table[1, 2, 3, 4, 5]-16 to 15.9999999The points in the linear interpolation function. The input signal will be mapped to this data set.

DSP Parameters

GUI NameCompiler NameFunction Description
TableLinearIntAlg1_1First point in the index table
TableLinearIntAlg1_p1_1Second point in the index table
TableLinearIntAlg1_p1_1_autoincremented …Third and greater points in the index table
MinLinearIntAlg1Min_2Minimum input value
MaxLinearIntAlg1Q_2Difference between the minimum input and the maximum input
PtsLinearIntAlg1Number_2Number of points in the index table minus 1. For example, if there are 3 points in the table, this parameter will be 2.

Algorithm Description

The linear interpolation cell performs interpolation of a data set.

The input of the linear interpolation cell must lie between a set minimum and maximum value. The input values between the min and max input values are mapped linearly to an index number between 0 and n, with n representing the maximum index.

For example, if input = min, then index 0 is selected. If input = max, then index n is selected. If the input lies halfway between two indices, then the output will be the average of the two corresponding points in the data set.

The process of mapping an input to an index is shown graphically below:

The actual output of the cell depends on the values of the data set stored in the index table. The example below shows a table with 6 points. If index = min, then the output will be the value of the point stored in index 0. If index = 5, then the output will be the value of the point stored in index 5. If, for example, the input is one third of the way between indices 2 and 3, then the output will be (index_2 * 2/3) + (index_3 * 1/3). This is illustrated by the orange point in the graphic below - the cell's output would be the value of the orange point's displacement on the vertical axis. The blue points represent values stored in the index table. The lines connecting the blue points represent the “interpolants.” The output value of the cell will always lie on an interpolant.

If the input is below the defined minimum or above the defined maximum, the output of the cell will be unpredictable. Care should be taken to limit the input signal accordingly.


The example below shows a linear interpolator cell that is set up to interpolate for inputs between 10 and 11. The input, supplied by a DC Input cell, is 10.5. Since 10.5 is exactly the midpoint between 10 and 11, the midpoint of the table, 3, is output. A DSP Readback cell is used to confirm the output of the Linear Interpolator cell.

Algorithm Details

Toolbox PathBasic DSP - Index LUT - Linear Interpolator
Cores SupportedADAU1761
“Grow Algorithm” Supportedyes
“Add Algorithm” Supportedno
Subroutine/Loop Basedno
Program RAM18
Data RAM6
Parameter RAM5*

*Based on an index table with two points. As points are added, Parameter RAM usage will increase by 1 per index.

resources/tools-software/sigmastudio/toolbox/basicdsp/linearinterpolator.txt · Last modified: 07 Jul 2015 07:05 by prasanna thirumaleshwara