median

calculate_all method for aggregate functions in Active Record

MQL5 header file for 'Median and Turbo renko indicator bundle' available for MT5 via MQL5 Market. The file lets you easily create a Renko EA in MT5 using the Median Renko indicator.

Sensor for Home Assistant that gets reset at midnight

High-dimensional medians (medoid, geometric median, etc.). Fast implementations in Python.

Shiny App for comparison of samples

Arduino library to determine the running median by means of a circular buffer.

Fast and differentiable geometric median, a multivariate median analogue. Install with `pip install geom-median`

An implementation of an efficient O(n) median filter in Rust.

High performance, native (C) implementations of various statistical functions

Robust estimations from distribution structures: Mean.

A small library that does the statistics for your numbers.

URL to App Conversion

This repository contains a statistic library for the C programming language which prepare useful functions for dealing with average, standard deviation etc.

This repository is on different types of data, types of missing values and how to handle missing value

Data analysis and filtering using time series for embedded devices (IoT). All in a single C++ library, Data Tome. Focus on the developer's experience and performance. It is the successor to the MovingAveragePlus library.

Free WordPress Plugin: The Mean, Median, Mode, and Range calculator helps you find these statistics quickly and conveniently. Learn how to use this calculator's output by reading this article. www.calculator.io/mean-median-mode-range-calculator/

Fast and simple statistics on the command line.

Image steganography is implemented by replacing image pixels with cipher pixels to hide the existence of the message. To enhance the security, cryptographic algorithm, RSA, has been modified into symmetric keying system to encrypt and decrypt the message into cipher text and vice versa solely for this purpose. The sender will encrypt the message with a key and then embed the cipher text into an image and send the image object via any transmission medium like internet along with the key to the receiver, so that the receiver can extract the cipher text from the image and then decrypt by the key that the sender have sent. The result was satisfactory and fulfilled the purpose but there arose many major issues like, visibility of the cipher pixel in case for low resolution image; data corruption of the cipher text due to noise; limitation of grayscale image only; sender have to send a couple of image for comparison of the pixel data etc. However, noise problem have been challenged with the help of median filter but still there remains many scope to establish this algorithm into a better efficient and optimized one.

Online statistics

State estimation for output with outlier (journal article matlab code) observer, Kalman-filter, Control