Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Upsampling

Upsampling

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...

Downsampling

Downsampling

When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...

Reducing Line Loss

Reducing Line Loss

In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...

Linear Approximation in Frequency Domain

Linear Approximation in Frequency Domain

Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....

Design Example: Capacitance Multiplier Circuit

Design Example: Capacitance Multiplier Circuit

In integrated circuit technology, a capacitance multiplier is often utilized to produce a larger capacitance value when a small physical capacitance falls short. This is achieved by a circuit that multiplies capacitance values by a factor of up to 1000, such that a 10-pF capacitor can replicate the performance of a 100-nF capacitor.
The circuit illustrated in Figure 1 below incorporates two op-amps, with the first operating as a voltage follower and the second acting as an inverting amplifier.

Linear Approximation in Time Domain

Linear Approximation in Time Domain

Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Laser linewidth characterization via self-homodyne measurement under nearly-coherent conditions.

Optics express·2022

Same author

Stealth and secured optical coherent transmission using a gain switched frequency comb and multi-homodyne coherent detection.

Optics express·2021

Same author

Photonic-layer encryption and steganography over IM/DD communication system.

Optics express·2019

Same author

Proof of concept for ultrahigh resolution photonic spectral processor.

Optics express·2018

Same author

Demonstration of coherent stealthy and encrypted transmission for data center interconnection.

Optics express·2018

Same author

Analysis of photonic noise generated due to Kerr nonlinearity in silicon ring resonators.

Optics express·2018

Search research articles

Related Experiment Video

Updated: Feb 19, 2026

Lensless Fluorescent Microscopy on a Chip

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

Novel low resolution ADC-DSP optimization based on non-uniform quantization and MLSE for data centers interconnects.

Yaron Yoffe, Dan Sadot

|November 3, 2017

Summary

A novel combined analog-to-digital-converter (ADC) and digital-signal-processing (DSP) scheme uses non-uniform quantization for improved optical communication receivers. This method enhances signal-to-noise ratio (SNR) and offers low-cost, low-power solutions.

More Related Videos

Quasi-light Storage for Optical Data Packets

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Related Experiment Videos

Last Updated: Feb 19, 2026

Lensless Fluorescent Microscopy on a Chip

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

Quasi-light Storage for Optical Data Packets

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

Electrical Engineering
Optical Communications
Signal Processing

Background:

High-speed optical communication receivers face bottlenecks due to analog-to-digital-converter (ADC) resolution.
Existing receiver architectures struggle with power consumption and cost.

Purpose of the Study:

To propose a new combined ADC-DSP scheme optimizing non-uniform quantization for MLSE receivers.
To enable the use of low-resolution ADCs in optical communication systems.

Main Methods:

Development of a novel non-uniform quantization technique.
Optimization of the scheme for Maximum Likelihood Sequence Estimation (MLSE) receivers.
Monte-simulation for performance evaluation.

Main Results:

Demonstrated significant Signal-to-Noise Ratio (SNR) gain over conventional designs.
Validated the effectiveness of the non-uniform quantization method.
Achieved performance improvements using low-resolution ADC devices.

Conclusions:

The proposed ADC-DSP scheme offers a viable solution for high-speed optical communications.
This approach can lead to low-cost and low-power digital implementations.
It is particularly suitable for datacenter interconnects.