signal processing, step detection (also known as step smoothing, step filtering, shift detection, jump detection or edge detection) is the process of...

signals is known as step detection and the problem of finding signal discontinuities over time is known as change detection. Edge detection is a fundamental...

the times of any such changes. Specific applications, like step detection and edge detection, may be concerned with changes in the mean, variance, correlation...

function Step detection Heaviside step function Piecewise-constant valuation "Step Function". "Step Functions - Mathonline". "Mathwords: Step Function"....

an amplification step to the detection process. Given the advent of high-throughput protein analysis and lower limits of detection, however, there has...

the CUSUM method is applied to changes in mean, it can be used for step detection of a time series. A few years later, George Alfred Barnard developed...

In computer science, cycle detection or cycle finding is the algorithmic problem of finding a cycle in a sequence of iterated function values. For any...

Collision detection is the computational problem of detecting an intersection of two or more objects in virtual space. More precisely, it deals with the...

In data analysis, anomaly detection (also referred to as outlier detection and sometimes as novelty detection) is generally understood to be the identification...

melting temperature. Nevertheless, the one-step approach is a relatively convenient solution for the rapid detection of target RNA directly in biosensing.[citation...

The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images. It was developed by...

PMID 15858149. Sotlar K, Escribano L, Landt O, et al. (2003). "One-Step Detection of c-kit Point Mutations Using Peptide Nucleic Acid-Mediated Polymerase...

hierarchical Dirichlet process priors over the HMM transition matrix. Step detection Keogh, Eamonn, et al. "Segmenting time series: A survey and novel approach...

with the detection antibodies. The purpose of biotinylating the cytokine-specific detection antibodies added to the wells in the previous step is so that...

intensity ratios, and segmentation into different copy number regions using step detection algorithms. Class discovery analysis: This analytic approach, sometimes...

saving one step and therefore time. As a result, these biologists conclude that there are no specialized brain mechanisms for agent detection. List of cognitive...

breathalyser (and confirmed with a blood alcohol content measurement), valid detection for cannabis is time-consuming, and tests cannot determine an approximate...

detection. Often, the step is small and the time series is corrupted by some kind of noise, and this makes the problem challenging because the step may...

Transport Authority Archived 7 May 2007 at the Wayback Machine Schematic drawing of ERP system which uses pair of gantries and 5 step detection sequence [1]...

Corner detection is an approach used within computer vision systems to extract certain kinds of features and infer the contents of an image. Corner detection...

for creating and managing text messaging clients. Sensor batching, step detection and counter APIs were also added. KitKat supports host card emulation...

about 2% phase detection pixels on the chip. With suitable software support, that enables phase detection auto focus. Contrast-detection autofocus is achieved...

Dec 2003 Schematic drawing of ERP system using pair of 2 gantries and 5 step detection sequence [1] Portals: Economics Environment Singapore Transport...

In computer science, landmark detection is the process of finding significant landmarks in an image. This originally referred to finding landmarks for...

There are many computer vision algorithms that use feature detection as the initial step, so as a result, a very large number of feature detectors have...

leak detection is used to determine if (and in some cases where) a leak has occurred in systems which contain liquids and gases. Methods of detection include...

unbiased risk estimate Steiner system Stemplot – see Stem-and-leaf display Step detection Stepwise regression Stieltjes moment problem Stimulus-response model...

Lidar (/ˈlaɪdɑːr/, also LIDAR, an acronym of "light detection and ranging" or "laser imaging, detection, and ranging") is a method for determining ranges...

Even if the sample is liquid (e.g., a measured small drop), the final detection step in "dry" analysis involves reading of a dried strip by methods such...

code coverage analysis, "hot spot" detection, loop detection or similar. Stepping (Visual Studio) Overview of stepping support in Microsoft Corporation's...