Peak detection in noisy waveforms

1. What are the methods of peak detection?
2. What is the criteria for peak detection?
3. What is peak detection in spectrum?
4. What is peak detection algorithm?

What are the methods of peak detection?

approaches to peak detection include (i) using smoothing and then fitting a known function (e.g., a polynomial) to the time-series; and (ii) matching a known peak shape to the time-series. a user-specified constant. by multiple methods are chosen as true peaks.

What is the criteria for peak detection?

the peak must have higher intensity than its neighbours; the peak must be above a chosen threshold; the peak must have an associated signal-to-noise ratio (SNR) higher than a set threshold.

What is peak detection in spectrum?

The PROcess peak detection algorithm incorporates a moving average method to smooth the spectrum, and estimates the median absolute deviation (MAD) within the sliding window at the time of smoothing; then it detects local maxima of the smoothed spectrum within the sliding window.

What is peak detection algorithm?

A new automatic peak detection algorithm is developed and applied to histogram-based image data reduction (quantization). The algorithm uses a peak detection signal derived either from the image histogram or the cumulative distribution function to locate the peaks in the image histogram.