(8.D.2.6) 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.
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 | isHidden | Default value | Range | Units |
subblockSize | int | const | 0 | 2 | Unrestricted | Â |
statisticsType | int | parameter | 0 | 0 | 0:9 | Â |
nSubblocks | int | state | 0 | 16 | Unrestricted | Â |
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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