Overview
Computes the zero-lag cross correlation
Discussion
This module calculates the cross correlation of 2 single-channel inputs. The calcuation is block based and the module outputs a single value which is the correlation for the block of input data. The cross correlation is without time lag. The formula is:
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NORM_TYPE (Tunable parameter) chooses between L1 norm or L2 norm. L1 norm is the Manhattan distance of a vector. L2 norm (Euclidean) is the Pythagorean distance of a vector.
Type Definition
| Code Block |
|---|
typedef struct _ModuleCorrelationFract32
{
ModuleInstanceDescriptor instance; // Common Audio Weaver module instance structure
INT32 norm; // Type of norm: L1_norm=1, L2_norm=2
} ModuleCorrelationFract32Class; |
Variables
Properties
Name | Type | Usage | isHidden | Default value | Range | Units |
norm | int | parameter | 0 | 2 | 1:2 |
Pins
Input Pins
Name: in1
Description: Signal input 1
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Sample rate range: Unrestricted
Complex support: Real
Output Pins
Name: out
Description: xcorrelation value
Data type: fract32
MATLAB Usage
File Name: correlation_fract32_module.m
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