SubblockStatisticsFract32

Overview

Computes statistics at several points in a block of samples

Discussion

This module calculates statistics of the input signal at several points for each block. Output blocks have samples, where each output sample is the statistics value for a subblock The input pin can have an arbitrary number of interleaved channels and the calculation occurs over all channels. The output pin has a single channel and a blockSize equal to floor(inputBlocksize / subblockSize)

For each subblock, one of the following values is calculated: maximum, minimum, maximum absolute value, mean, RMS, standard deviation, variance, or average energy. The parameter statisticsType specifies which statistic is computed: 0=maximum, 1=minimum, 2=maximum absolute value, 3=mean, 4=RMS, 5=standard deviation, 6=variance, 7=average energy, 8=sum, 9=sum of squares. The module is stateless and the statistic is recomputed for each block.

Module Pack

Advanced

ClassID

classID = 1339

Type Definition

typedef struct _ModuleSubblockStatisticsFract32
{
ModuleInstanceDescriptor instance;            // Common Audio Weaver module instance structure
INT32 subblockSize;                           // Number of samples per subblock to run statistics on.
INT32 statisticsType;                         // Type of statistics calculated.
INT32 nSubblocks;                             // Number of subblocks per input block.
} ModuleSubblockStatisticsFract32Class;

Variables

Properties

Name	Type	Usage	Default Value	Range
subblockSize	int	const	2	Unrestricted
statisticsType	int	parameter	0	0:9
nSubblocks	int	state	16	Unrestricted

Pins

Input Pins


Name	in
Description	Audio input
Data type	fract32
Channel range	Unrestricted
Block size range	Unrestricted
Sample rate range	Unrestricted
Complex support	Real

Output Pins


Name	out
Description	Value
Data Type	fract32

Matlab Usage

File Name: subblock_statistics_fract32_module.m 
 M = subblock_statistics_fract32_module(NAME, SUBSIZE) 
 This module calculates statistics of the input signal, outputting one 
 sample per SUBSIZE input samples.  The statisticsType parameter controls 
 what function is computed, e.g., min or max. 

 Arguments: 
    NAME - name of the module. 
    SUBSIZE - The number of samples per subblock to run statistics on 

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