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Upsampling

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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...

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Related Experiment Video

Updated: Nov 14, 2025

Live Cell Imaging of F-actin Dynamics via Fluorescent Speckle Microscopy FSM

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Quantization of dynamic speckle patterns with spatially varying statistics.

Elena Stoykova, Dimana Nazarova, Lian Nedelchev

|March 10, 2021

Summary

Coarse quantization of raw speckle data is essential for dynamic speckle analysis. This method effectively compresses data, even with varying statistics, reducing bit depth to 3 without impacting activity map quality.

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Area of Science:

Optics and Photonics
Materials Science
Data Compression

Background:

Dynamic speckle analysis requires raw data compression for process monitoring.
Two-dimensional activity maps are generated from correlated speckle patterns on diffusely reflecting surfaces under laser illumination.
Coarse quantization of speckle patterns aids storage and transfer but can be inefficient with spatially varying statistics.

Purpose of the Study:

To demonstrate the efficacy of coarse quantization for raw speckle data with spatially varying statistics.
To propose uniform and non-uniform quantization methods for such data.
To assess the impact of reduced bit depth on activity map quality.

Main Methods:

Simulations were performed to validate the proposed quantization algorithm.
A polymer drop drying experiment was conducted using the developed methods.
Analysis involved comparing activity maps generated with different bit depths.

Main Results:

Coarse quantization of raw speckle data with varying statistics was proven effective.
Both uniform and non-uniform quantization approaches are suitable for this data.
Bit depth can be reduced from 8 to 3 without compromising activity map quality.

Conclusions:

Coarse quantization is a viable and efficient method for compressing raw speckle data in dynamic speckle analysis.
The proposed quantization techniques maintain the quality of activity maps even with significant data reduction.
This approach is particularly beneficial for applications involving non-uniform illumination or reflectivity.