Ergebnisse für: MMSE
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This monograph details efficient transmission strategies for single-carrier wireless broadband communication systems employing iterative (turbo) equalization. In particular, the first part focuses on the design and analysis of low complexity and robust MMSE-based turbo equalizers operating in the fr...
This book presents an algorithm for the detection of an orthogonal frequency division multiplexing (OFDM) signal in a cognitive radio context by means of a joint and iterative channel and noise estimation technique. Based on the minimum mean square criterion, it performs an accurate detection of a u...
This book presents an algorithm for the detection of an orthogonal frequency division multiplexing (OFDM) signal in a cognitive radio context by means of a joint and iterative channel and noise estimation technique. Based on the minimum mean square criterion, it performs an accurate detection of a u...
Volume is indexed by Thomson Reuters CPCI-S (WoS).
These are the proceedings of the 2nd International Conference on Machinery, Materials Science and Engineering Applications ( MMSE 2012 ) held on the 16 and 17th June, 2012, in Wuhan, Chin...
This book first details a proposed Stationary Bionic Wavelet Transform (SBWT) for use in speech processing. The author then details the proposed techniques based on SBWT. These techniques are relevant to speech enhancement, speech recognition, and ECG de-noising. The techniques are then evaluated by...
This book provides the first comprehensive overview of the fascinating topic of audio source separation based on non-negative matrix factorization, deep neural networks, and sparse component analysis. The first section of the book covers single channel source separation based on non-negative ma...
This Springerbreif introduces a threshold-based channel sparsification approach, and then, the sparsity is exploited for scalable channel training. Last but not least, this brief introduces two scalable cooperative signal detection algorithms in C-RANs. The authors wish to spur new research acti...
This book provides the first comprehensive overview of the fascinating topic of audio source separation based on non-negative matrix factorization, deep neural networks, and sparse component analysis. The first section of the book covers single channel source separation based on non-negative ma...
This book provides the first comprehensive overview of the fascinating topic of audio source separation based on non-negative matrix factorization, deep neural networks, and sparse component analysis. The first section of the book covers single channel source separation based on non-negative ma...
In this work, limited feedback communication systems with a multi-antenna base station and single antenna users are analyzed. Downlink capacity bounds with channel knowledge subject to estimation, quantization, feedback errors and outdating are derived for the single user case. For the multiuser cas...
This book first details a proposed Stationary Bionic Wavelet Transform (SBWT) for use in speech processing. The author then details the proposed techniques based on SBWT. These techniques are relevant to speech enhancement, speech recognition, and ECG de-noising. The techniques are then evaluated by...
This Springerbreif introduces a threshold-based channel sparsification approach, and then, the sparsity is exploited for scalable channel training. Last but not least, this brief introduces two scalable cooperative signal detection algorithms in C-RANs. The authors wish to spur new research acti...
Contributions to Statistical Modeling for Minimum Mean Square Error Estimation in Speech Enhancement
This doctoral dissertation deals with minimum mean square error (MMSE) speech enhancement schemes in the short-time Fourier transform (STFT) domain with a focus on statistical models for speech and corresponding estimators. The thesis starts with an overview of state-of-the-art MMSE speech enhanceme...
Durch Anwendung der Asymptotischen Analyse zur Bestimmung des Signal-zu-Interferenz-und-Rausch-Abstands (SINR) nach linearer MMSE-Detektion wird die spektrale Effizienz von DS-CDMA-Systemen an den informationstheoretischen Grenzen Cut-off-Rate und Kapazität bestimmt. Dabei werden im Uplink das Mode...
This book first details a proposed Stationary Bionic Wavelet Transform (SBWT) for use in speech processing. The author then details the proposed techniques based on SBWT. These techniques are relevant to speech enhancement, speech recognition, and ECG de-noising. The techniques are then evaluated by...