Dirk Slock

Dirk Slock

Eurecom

H-index: 53

Europe-France

About Dirk Slock

Dirk Slock, With an exceptional h-index of 53 and a recent h-index of 30 (since 2020), a distinguished researcher at Eurecom, specializes in the field of statistical signal processing, wireless communications, information theory, audio.

His recent articles reflect a diverse array of research interests and contributions to the field:

Parameter Estimation Via Expectation Maximization-Expectation Consistent Algorithm

Matched-filter Precoded Rate Splitting Multiple Access: A Simple and Energy-efficient Design

Exact SINR Analysis of Matched-filter Precoder

Signal detection for ultra-massive MIMO: An information geometry approach

Simplified Information Geometry Approach for Massive MIMO-OFDM Channel Estimation--Part II: Convergence Analysis

Vector Approximate Message Passing for Not So Large NIID Generalized I/O Linear Models

Affine frequency division multiplexing for communications on sparse time-varying channels

Power Delay Profile Based Ranging via Approximate EM-ReVAMP

Dirk Slock Information

University

Position

Professor Statistical Signal Processing

Citations(all)

12239

Citations(since 2020)

3469

Cited By

9586

hIndex(all)

53

hIndex(since 2020)

30

i10Index(all)

209

i10Index(since 2020)

66

Email

University Profile Page

Google Scholar

Dirk Slock Skills & Research Interests

statistical signal processing

wireless communications

information theory

audio

Top articles of Dirk Slock

Parameter Estimation Via Expectation Maximization-Expectation Consistent Algorithm

2024/4/14

Dirk Slock
Dirk Slock

H-Index: 21

Matched-filter Precoded Rate Splitting Multiple Access: A Simple and Energy-efficient Design

arXiv preprint arXiv:2403.04502

2024/3/7

Hui Zhao
Hui Zhao

H-Index: 32

Dirk Slock
Dirk Slock

H-Index: 21

Exact SINR Analysis of Matched-filter Precoder

arXiv preprint arXiv:2401.16958

2024/1/30

Signal detection for ultra-massive MIMO: An information geometry approach

IEEE Transactions on Signal Processing

2024/1/29

Simplified Information Geometry Approach for Massive MIMO-OFDM Channel Estimation--Part II: Convergence Analysis

arXiv preprint arXiv:2401.02037

2024/1/4

Vector Approximate Message Passing for Not So Large NIID Generalized I/O Linear Models

2024/4/14

Dirk Slock
Dirk Slock

H-Index: 21

Affine frequency division multiplexing for communications on sparse time-varying channels

2023/12/4

Ali Bemani
Ali Bemani

H-Index: 0

Dirk Slock
Dirk Slock

H-Index: 21

Power Delay Profile Based Ranging via Approximate EM-ReVAMP

2023/11/6

Dirk Slock
Dirk Slock

H-Index: 21

Information Geometry Approach for Ultra-Massive MIMO Signal Detection

2023/11/2

Bethe Free Energy and Extrinsics in Approximate Message Passing

2023/10/29

Dirk Slock
Dirk Slock

H-Index: 21

Channel estimation for massive MIMO-OFDM: simplified information geometry approach

2023/10/10

Approximate Message Passing for Not So Large niid Generalized Linear Models

2023/9/25

Dirk Slock
Dirk Slock

H-Index: 21

Improved Variance Predictions in Approximate Message Passing

2023/9/17

Dirk Slock
Dirk Slock

H-Index: 21

Channel State Information Based Ranging via EM-reVAMP Algorithm

2023/9/11

Dirk Slock
Dirk Slock

H-Index: 21

Variance Predictions in VAMP/UAMP with Right Rotationally Invariant Measurement Matrices for niid Generalized Linear Models

2023/9/4

Dirk Slock
Dirk Slock

H-Index: 21

Full-duplex-enabled joint communications and sensing with reconfigurable intelligent surfaces

2023/9/4

Beamforming for Reduced-Rank MIMO Interference Channels in Dynamic TDD Systems

2023/7/4

Dirk Slock
Dirk Slock

H-Index: 21

Intelligent reflecting surfaces assisted millimeter wave MIMO full duplex systems

2023/6/20

Alternating Constrained Minimization Based Approximate Message Passing

2023/6/4

Dirk Slock
Dirk Slock

H-Index: 21

Semi-Blind Sparse Channel Learning in Cell-Free Massive MIMO-a CRB Analysis

2023/5/28

Dirk Slock
Dirk Slock

H-Index: 21

See List of Professors in Dirk Slock University(Eurecom)

Co-Authors

academic-engine