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We propose an iterative channel estimation algorithm based on the Least Square Estimation (LSE) and Sparse Message Passing (SMP) algorithm for the Millimeter Wave (mmWave) MIMO systems. The channel coefficients of the mmWave MIMO are…

信息论 · 计算机科学 2022-06-23 Chongwen Huang , Lei Liu , Chau Yuen , Sumei Sun

The sampling of graph signals has recently drawn much attention due to the wide applications of graph signal processing. While a lot of efficient methods and interesting results have been reported to the sampling of band-limited or smooth…

信号处理 · 电气工程与系统科学 2025-01-01 Yingcheng Lai , Li Chai , Jinming Xu

We study sparse regression codes (SPARC) for multiple access channels with multiple receive antennas, in non-coherent flat fading channels. We propose a novel practical decoder, referred to as maximum likelihood matching pursuit (MLMP),…

信号处理 · 电气工程与系统科学 2025-07-16 V S V Sandeep , Sai Dinesh Kancharana , Arun Pachai Kannu

A variation of Gallager error-correcting codes is investigated using statistical mechanics. In codes of this type, a given message is encoded into a codeword which comprises Boolean sums of message bits selected by two randomly constructed…

无序系统与神经网络 · 物理学 2009-10-31 Tatsuto Murayama , Yoshiyuki Kabashima , David Saad , Renato Vicente

There is a growing interest in the transition from 4-step random access to 2-step random access in machine-type communication (MTC), since 2-step random access is well-suited to short message delivery in various Internet of Things (IoT)…

信息论 · 计算机科学 2021-01-01 Jinho Choi

We recently proved threshold saturation for spatially coupled sparse superposition codes on the additive white Gaussian noise channel. Here we generalize our analysis to a much broader setting. We show for any memoryless channel that…

信息论 · 计算机科学 2016-03-16 Jean Barbier , Mohamad Dia , Nicolas Macris

For the additive white Gaussian noise channel with average codeword power constraint, new coding methods are devised in which the codewords are sparse superpositions, that is, linear combinations of subsets of vectors from a given design,…

信息论 · 计算机科学 2010-06-21 Andrew R. Barron , Antony Joseph

We evaluate typical performance of irregular low-density generator-matrix (LDGM) codes, which is defined by sparse matrices with arbitrary irregular bit degree distribution and arbitrary check degree distribution, for lossy compression. We…

无序系统与神经网络 · 物理学 2009-07-16 Kazushi Mimura

Spatial modulation (SM)-sparse code multiple access (SCMA) systems provide high spectral efficiency (SE) at the expense of using a high number of transmit antennas. To overcome this drawback, this letter proposes a novel SM-SCM A system…

信号处理 · 电气工程与系统科学 2020-06-16 Ibrahim Al-Nahhal , Octavia A. Dobre , Ertugrul Basar , Salama Ikki

Kudekar et al. proved that the belief-propagation (BP) performance for low-density parity check (LDPC) codes can be boosted up to the maximum-a-posteriori (MAP) performance by spatial coupling. In this paper, spatial coupling is applied to…

信息论 · 计算机科学 2016-11-18 Keigo Takeuchi , Toshiyuki Tanaka , Tsutomu Kawabata

Massive MTC support is an important future market segment, but not yet efficiently supported in cellular systems. In this paper we follow-up on recent concepts combining advanced MAC protocols with Compressed Sensing (CS) based multiuser…

信息论 · 计算机科学 2017-07-04 Gerhard Wunder , Cedomir Stefanovic , Petar Popovski , Lars Thiele

In this paper, we present a Bayesian channel estimation algorithm for multicarrier receivers based on pilot symbol observations. The inherent sparse nature of wireless multipath channels is exploited by modeling the prior distribution of…

In this paper we consider the generalized approximate message passing (GAMP) algorithm for recovering a sparse signal from modulo samples of randomized projections of the unknown signal. The modulo samples are obtained by a self-reset (SR)…

信号处理 · 电气工程与系统科学 2018-07-10 Osman Musa , Peter Jung , Norbert Goertz

Signal decomposition and multiscale signal analysis provide many useful tools for time-frequency analysis. We proposed a random feature method for analyzing time-series data by constructing a sparse approximation to the spectrogram. The…

信号处理 · 电气工程与系统科学 2023-03-17 Nicholas Richardson , Hayden Schaeffer , Giang Tran

We discuss a technique that allows blind recovery of signals or blind identification of mixtures in instances where such recovery or identification were previously thought to be impossible: (i) closely located or highly correlated sources…

信息论 · 计算机科学 2013-10-25 Lek-Heng Lim , Pierre Comon

Sparse versions of principal component analysis (PCA) have imposed themselves as simple, yet powerful ways of selecting relevant features of high-dimensional data in an unsupervised manner. However, when several sparse principal components…

机器学习 · 统计学 2019-05-22 Charles Bouveyron , Pierre Latouche , Pierre-Alexandre Mattei

CDMA is a multiple access method in which the user's uses spread spectrum techniques and occupy the entire spectrum whenever they transmit. In wireless communication signal-to-noise ratio (SNR) is the very important parameter that…

网络与互联网体系结构 · 计算机科学 2010-02-26 Md. M. Hossain , Md. M. Rahman , Md. A. Alim

Wideband wireless channel is a time dispersive channel and becomes strongly frequency-selective. However, in most cases, the channel is composed of a few dominant taps and a large part of taps is approximately zero or zero. To exploit the…

信息论 · 计算机科学 2010-05-14 Guan Gui , Qun Wan , Wei Peng , Fumiyuki Adachi

Recently, a new class of binary codes for overloaded CDMA systems are proposed that not only has the ability of errorless communication but also suitable for detecting active users. These codes are called COWDA [1]. In [1], a Maximum…

信息论 · 计算机科学 2010-01-26 Ali Mousavi , Pedram Pad , Farokh Marvasti

Reliable communication is a challenge in a very noisy RF channel further corrupted by severe, multiple narrowband interference. Code Division Multiple Access (CDMA) is a widely used method to both mitigate such interference and support…

信息论 · 计算机科学 2014-10-20 Dave Clites , Richard Orr , Jack Rieser , Michael Dellomo