GY-63_MS5611/libraries/RunningMedian/README.md
2021-01-29 12:31:58 +01:00

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# RunningMedian
Arduino library to determine the running median by means of a circular buffer.
## Description
Running Median looks like a running average with a small but important twist.
Running average averages the last N samples while the running median takes
the last N samples, sort them and take the middle one, or the average of the
middle two in case the internal buffer size is even.
Important differences between running average and running median:
- Running median will return real data (e.g. a real sample from a sensor)
if one uses an odd size of the buffer (therefor preferred).
Running average may return a value that is never sampled.
- Running median will give zero weight to outliers, and 100% to the middle sample,
whereas running average gives the same weight to all samples.
- Running median will give often constant values for some time.
- As one knows the values in the buffer one can predict the maximum change of
the running median in the next steps in advance.
- Running median is slower as one needs to keep the values in timed order
to remove the oldest and keep them sorted to be able to select the median.
#### Note MEDIAN_MAX_SIZE
The maximum size of the internal buffer is defined by **MEDIAN_MAX_SIZE** and is
set to 255 (since version 0.3.1). The memory allocated currently is in the order
of 5 bytes per element plus some overhead, so 255 elements take ~1300 bytes.
For an UNO this is quite a bit.
With larger sizes the performance penalty to keep the internal array sorted
is large. For most applications a value much lower e.g. 19 is working well, and
is performance wise O(100x) faster in sorting than 255 elements.
## Interface
### Constructor
- **RunningMedian(const uint8_t size)** Constructor, dynamically allocates memory.
- **~RunningMedian()** Destructor
- **uint8_t getSize()** returns size of internal array
- **uint8_t getCount()** returns current used elements, getCount() <= getSize()
- **bool isFull()** returns true if the internal buffer is 100% filled.
### Base functions
- **clear()** resets internal buffer and variables, effectively emptird thr buffer.
- **add(const float value) ** adds a new value to internal buffer, optionally replacing the oldest element if the buffer is full
- **float getMedian()** returns the median == middle element
- **float getAverage()** returns average of **all** the values in the internal buffer
- **float getAverage(uint8_t nMedian)** returns average of **the middle n** values.
This effectively removes noise from the outliers in the samples.
- **float getHighest()** get the largest values in the buffer.
- **float getLowest()** get the smallest value in the buffer.
- **float getQuantile(const float q)** returns the Quantile value from the buffer.
This value is often interpolated.
### Less used functions
- **float getElement(const uint8_t n)** returns the n'th element from the values in time order.
- **float getSortedElement(const uint8_t n)** returns the n'th element from the values in size order (sorted ascending)
- **float predict(const uint8_t n)** predict the max change of median after n additions, n should be smaller than **getSize()/2**
## Operation
See examples