Write in a clean editor, then format for IEEE Journal of Selected Topics in Signal Processing in one click — DocuGuru applies the official IEEE template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
IEEE Journal of Selected Topics in Signal Processing is a peer-reviewed journal published by IEEE, covering Diverse Scientific and Economic Studies, Speech and Audio Processing, Advanced MIMO Systems Optimization. Over its lifetime it has published 2,997 papers, which have received 140,349 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Journal of Selected Topics in Signal Processing style. No sign-up. |
| Abbreviation (ISO-4) | JSTSP |
| Publishes research in | Diverse Scientific and Economic Studies Speech and Audio Processing Advanced MIMO Systems Optimization Human auditory perception and evaluation Sensor Technology and Measurement Systems |
| ISSN | 1932-4553 |
| Citation impact (2-yr) | 4.18 |
| h-index | 171 |
| i10-index | 1,449 |
| Top institutions publishing here | Tsinghua University |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Many problems in signal processing and statistical inference involve finding sparse solutions to under-determined, or ill-conditioned, linear systems of equations. A standard approach consists in minimizing an objective function which includes a quadratic (squared ) error term combined with a sparseness-inducing regularization term. Basis pursuit, the least absolute shrinkage and selection operator (LASSO), wavelet-based deconvolution,…
Communication at millimeter wave (mmWave) frequencies is defining a new era of wireless communication. The mmWave band offers higher bandwidth communication channels versus those presently used in commercial wireless systems. The applications of mmWave are immense: wireless local and personal area networks in the unlicensed band, 5G cellular systems, not to mention vehicular area networks,…
Massive multiple-input multiple-output (MIMO) wireless communications refers to the idea equipping cellular base stations (BSs) with a very large number of antennas, and has been shown to potentially allow for orders of magnitude improvement in spectral and energy efficiency using relatively simple (linear) processing. In this paper, we present a comprehensive overview of state-of-the-art research…
Millimeter wave (mmWave) cellular systems will enable gigabit-per-second data rates thanks to the large bandwidth available at mmWave frequencies. To realize sufficient link margin, mmWave systems will employ directional beamforming with large antenna arrays at both the transmitter and receiver. Due to the high cost and power consumption of gigasample mixed-signal devices, mmWave precoding will…
Recently, a lot of attention has been paid to regularization based methods for sparse signal reconstruction (e.g., basis pursuit denoising and compressed sensing) and feature selection (e.g., the Lasso algorithm) in signal processing, statistics, and related fields. These problems can be cast as -regularized least-squares programs (LSPs), which can be reformulated as convex quadratic programs,…
