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

Infrared (IR) Spectroscopy: Overview

Infrared (IR) Spectroscopy: Overview

When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...

IR Spectrometers

IR Spectrometers

There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...

IR Frequency Region: Fingerprint Region

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the C=O, C=N, and C=C occur between 1600–1850 cm−1.
The...

Basic Continuous Time Signals

Basic Continuous Time Signals

Basic continuous-time signals include the unit step function, unit impulse function, and unit ramp function, collectively referred to as singularity functions. Singularity functions are characterized by discontinuities or discontinuous derivatives.
The unit step function, denoted u(t), is zero for negative time values and one for positive time values, exhibiting a discontinuity at t=0. This function often represents abrupt changes, such as the step voltage introduced when turning a car's...

Sampling Continuous Time Signal

Sampling Continuous Time Signal

In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...

Continuous -time Fourier Transform

Continuous -time Fourier Transform

The Fourier series is instrumental in representing periodic functions, offering a powerful method to decompose such functions into a sum of sinusoids. This technique, however, necessitates modification when applied to nonperiodic functions. Consider a pulse-train waveform consisting of a series of rectangular pulses. When these pulses have a finite period, they can be accurately represented by a Fourier series. Yet, as the period approaches infinity, resulting in a single, isolated pulse, the...

You might also read

Related Articles

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

Sort by

Same author

A frenching response of tobacco seedlings to isoleucine.

Science (New York, N.Y.)·2010

Same author

Specificity of potassium and magnesium for growth of Aspergillus niger.

American journal of botany·2010

Same author

Infrared surveillance. 2: Continuous-time signal processors; erratum.

Applied optics·2010

Same author

Infrared surveillance. 1: Statistical model.

Applied optics·2010

Same author

Polarization-insensitive integrated-optical switches: na new electrode design.

Applied optics·2010

Same author

Performance limitations imposed on optical waveguide switches and modulators by polarization.

Applied optics·2010

Search research articles

Related Experiment Video

Updated: Jun 15, 2026

Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing

Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing

Published on: March 22, 2019

Infrared surveillance. 2: Continuous-time signal processors.

|March 12, 2010

Summary

This study introduces a novel signal processing technique for infrared passive surveillance receivers. The method enhances target detection sensitivity while minimizing false alarms from complex backgrounds.

Area of Science:

Infrared surveillance technology
Signal processing for target detection

Background:

Analysis of infrared passive surveillance receivers using established theory.
Focus on detecting low-contrast point targets amidst high-contrast structured backgrounds.

Purpose of the Study:

Propose a new signal processing approach to reduce background-induced false alarms.
Maintain maximum target detection sensitivity in challenging environments.

Main Methods:

Theoretical analysis of infrared passive surveillance receivers.
Development of a novel signal processing strategy.
Evaluation of time-delay and integration detector technology.

Main Results:

The proposed signal processing method effectively minimizes false alarms.

More Related Videos

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Published on: June 25, 2021

Related Experiment Videos

Last Updated: Jun 15, 2026

Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing

Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing

Published on: March 22, 2019

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Published on: June 25, 2021

High target detection sensitivity is retained against structured backgrounds.

Time-delay and integration detectors offer adjustable sensitivity for performance optimization.

Conclusions:

The novel signal processing approach significantly improves performance in structured scenes.
Intentional sacrifice of detector sensitivity can enhance detection capabilities.
This technique offers a promising solution for infrared surveillance in complex environments.