BlockMedian

Overview

N-Channel Block median

Discussion

Computes the median ("middle value") for each block of data. The median computation is computed on a channel by channel basis. The module supports an arbitrary block size and number of channels. The output has a block size of 1 and the number of channels matches the number of channels of the input.

Internally, the module uses a scratch buffer and sorts each block of data. It then picks the "middle" value as the median. Let N represent the block size of the input pin. If N is odd, then the median is the sample at index [(N - 1) / 2] (assuming zero indexing). If N is even, then the median is at sample index [N/2 - 1].

Module Pack

Advanced

ClassID

classID = 1225

Type Definition

typedef struct _ModuleBlockMedian
{
ModuleInstanceDescriptor instance;            // Common Audio Weaver module instance structure
} ModuleBlockMedianClass;

Pins

Input Pins


Name	in
Description	Input signal
Data type	float
Channel range	Unrestricted
Block size range	Unrestricted
Sample rate range	Unrestricted
Complex support	Real

Output Pins


Name	out
Description	Output signal
Data Type	float

Scratch Pins


Channel Count	1
Block size	32
Sample rate	48000

Matlab Usage

File Name: block_median_module.m 
 M = block_median_module(NAME) 
 Computes the median value of a block of data.  Can be configured for 
 block mode or streaming mode.  Arguments: 
    NAME - name of the module.