Results 271 to 280 of about 186,581 (309)

Regularized blind detection for MIMO communications

2010 IEEE International Symposium on Information Theory, 2010
Multiple-Input Multiple-Output (MIMO) systems improve the throughput and reliability of wireless communications. Perfect Channel State Information (CSI) is needed at the receiver to perform coherent detection and achieve the optimal gain of the system.
Yuejie Chi, Yiyue Wu, A. Robert Calderbank   +2 more
openaire   +1 more source

Blind Graph Topology Change Detection

IEEE Signal Processing Letters, 2018
This letter investigates methods to detect graph topological changes without making any assumption on the nature of the change itself. To accomplish this, we merge recently developed tools in graph signal processing with matched subspace detection theory and propose two blind topology change detectors.
Elvin Isufi, Ashvant S. U. Mahabir, Geert Leus   +2 more
openaire   +3 more sources

Blind widely linear multiuser detection

IEEE Communications Letters, 2000
Widely linear structures for multiuser detection of code division multiple-access signals are proposed, which jointly elaborate the received signal and its complex conjugate. Computer simulations show that the new structures significantly outperform the conventional linear ones, in terms of suppression capability of both wideband multiple-access and ...
GELLI, GIACINTO, PAURA, LUIGI, RAGOZINI A. R. P.   +2 more
openaire   +3 more sources

Blind detection of electronic disguised voice

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
Since voice disguise has great negative impact on establishing authenticity of audio evidence in forensics, and has shown an increasing tendency in illegal applications, it is important to identify whether a suspected voice has been disguised or not. However, research on such detection has not been reported.
Haojun Wu, Yong Wang, Jiwu Huang
openaire   +1 more source

Blind weave detection for woven fabrics

Pattern Analysis and Applications, 2014
For the purpose of textile quality assurance, an algorithmic framework for fully automatic detection of weave patterns in woven fabrics is presented. The proposed method is able to handle fabrics of any rotation, material, and binding. Periodicity features within highly resolved fabric images are found and structured in a compact yarn matrix ...
Dorian Schneider, Dorit Merhof
openaire   +1 more source

A framework for optimal blind watermark detection

Proceedings of the 2001 workshop on Multimedia and security new challenges - MM&Sec '01, 2001
We propose a general framework for blind watermark detection. This framework contains a maximum-likelihood detector that utilizes the probability distribution of the original image. Other watermark detectors in literature are shown to be special cases of this framework.
Trista Pei-Chun Chen, Tsuhan Chen
openaire   +1 more source

Blind Change Detection for Audio Segmentation

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006
Automatic segmentation of audio streams according to speaker identities and environmental and channel conditions has become an important preprocessing step for speech recognition, speaker recognition, and audio data mining. In most previous approaches, the automatic segmentation was evaluated in terms of the performance of the final system, like the ...
Mohamed Kamal Omar, Upendra V. Chaudhari, Ganesh N. Ramaswamy   +2 more
openaire   +1 more source

Blind Noise Level Detection

2012
In this paper we present a new fully automatic algorithm for blind noise level evaluation based on natural image statistics (NIS). Natural images are unprocessed reproductions of a natural scene observed by a human. During its evolution, the Human Visual System has been adjusted to the information encoded in natural images, making images interpreted ...
openaire   +1 more source

Maximum-likelihood blind PAM detection

2012 IEEE International Conference on Communications (ICC), 2012
Blind sequence detection offers significant gains over conventional symbol-by-symbol detection when channel knowledge is not available at the receiver. However, maximum-likelihood (ML) blind sequence detection is often intractable due to exponential complexity in the sequence length. In this work, we develop a polynomial-time ML blind sequence detector
Dimitris S. Papailiopoulos, Georgina Abou Elkheir, George N. Karystinos   +2 more
openaire   +1 more source

Blind Signal Detection in Cellular Bands

IEEE Transactions on Instrumentation and Measurement, 2020
In this article, we propose a blind wideband signal detection algorithm to detect and locate occupied channels in cellular bands without a priori knowledge of the band channelization. This is formulated as a change-point detection problem. The proposed algorithm is validated using over-the-air measurements taken at different cellular bands and shown ...
Ahmed A. Al-Habob, Esraa A. Makled, Octavia A. Dobre, Oktay Üreten   +3 more
openaire   +1 more source