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Related Concept Videos

State Space to Transfer Function01:21

State Space to Transfer Function

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The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
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¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

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When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
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IR Frequency Region: X–H Stretching01:24

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In IR spectroscopy, signals produced by the X−H bonds (such as C−H, O−H, or N−H) can be observed in the frequency range of  2700–4000 cm–1. The C−H stretching vibration forms sharp bands in the region 2850–3000 cm–1. The presence of the O−H stretching vibration leads to the forming of an absorption band in the frequency range 3650–3200 cm−1. At the same time, N−H stretching can be confirmed by absorption bands in...
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State Space Representation01:27

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The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
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IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

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Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
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Basic signal operations include time reversal, time scaling, time shifting, and amplitude transformations. These operations are fundamental in signal processing and analysis.
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Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
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Sparse Space Shift Keying Modulation with Enhanced Constellation Mapping.

Tiebin Wang1, Kaiyuan Huang2, Min Liu2

  • 1Information and Computer Engineering College, Northeast Forestry University, Harbin 150006, China.

Sensors (Basel, Switzerland)
|August 12, 2022
PubMed
Summary
This summary is machine-generated.

New sparse space shift keying modulation (SSSK) reduces radio frequency (RF) chain switching frequency by concentrating energy in fewer time slots. This scheme offers a simpler hardware implementation and slight performance gains over traditional SSK.

Keywords:
maximum-likelihood (ML)multiple input multiple output (MIMO)space shift keying (SSK)

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Area of Science:

  • Electrical Engineering
  • Wireless Communications
  • Signal Processing

Background:

  • Traditional Space Shift Keying (SSK) modulation faces challenges with high radio frequency (RF) chain switching frequencies.
  • Simplifying hardware implementation in wireless systems is a key objective.

Purpose of the Study:

  • To introduce a novel Sparse Space Shift Keying (SSSK) modulation scheme.
  • To reduce the switching frequency between RF chains and transmit antennas.
  • To enhance hardware implementation simplicity while maintaining performance.

Main Methods:

  • Designing spatial constellation mapping patterns for SSSK.
  • Jointly designing time and spatial domains for SSK modulation.
  • Utilizing sparsity in the time domain to concentrate energy.
  • Integrating Transmit Antenna Selection (TAS) for performance enhancement.

Main Results:

  • SSSK effectively reduces RF-switching frequency by concentrating energy in fewer time slots.
  • Theoretical analysis provides a closed-form expression for the bit error probability of SSSK.
  • SSSK achieves slight performance gains over traditional SSK with reduced implementation costs.
  • Integration with TAS yields considerable performance improvements.

Conclusions:

  • The proposed SSSK scheme offers a practical solution for reducing RF switching frequency and simplifying hardware.
  • SSSK demonstrates comparable or improved performance against traditional SSK, especially when combined with TAS.
  • Simulation results validate the effectiveness and advantages of the SSSK scheme.