We investigate the impact of using non-ideal lowpass filters in the modulated wideband (MWC) converter, which is a recent subNyquist sampling system for sparse wideband analog si...
Yilun Chen, Moshe Mishali, Yonina C. Eldar, Alfred...
Existing work on limited feedback for cooperative multicell beamforming quantizes the desired and interfering channel state information (CSI) using separate codebooks. In this pap...
Ramya Bhagavatula, Robert W. Heath Jr., Bhaskar D....
This paper investigates unsupervised vocabulary and language model self-adaptation (VLA) from just one speech file using the web as a knowledge source and without prior knowledge...
We propose two novel algorithms based on compressed-sensing theory to estimate and cancel narrow band interference (NBI) in orthogonal frequency division multiplexing (OFDM) syste...
Ahmad Gomaa, K. M. Zahidul Islam, Naofal Al-Dhahir
In this paper, we describe a new approach to cope with packet loss in speech coders. The idea is to split the information present in each speech packet into two components, one to...
Daniele Giacobello, Manohar N. Murthi, Mads Gr&ael...
In this work, we show how expectation maximization based simultaneous channel and noise estimation can be derived without a vector Taylor series expansion. The central idea is to ...
Friedrich Faubel, John W. McDonough, Dietrich Klak...
ive CLP® ABSTRACT Ali A. Milani Broadband speech enhancement and active noise control nvironment ABSTRACT Vanishree Gopalakrishna Real-Time Implementation of Signal Processing Str...
Inspired by recent theoretical advances in compressive sensing (CS), we propose a new framework that combines the classical local discrete cosine transform used in image compressi...
Jiangtao Wen, Zhuoyuan Chen, Yuxing Han, John D. V...
This paper considers the enhancement of noisy speech. Earlier studies have revealed that an approach that enhances spectral envelopes by using prior knowledge about the all-pole (...
Takuya Yoshioka, Tomohiro Nakatani, Hiroshi G. Oku...
We present a novel language identification technique using our recently developed deep-structured conditional random fields (CRFs). The deep-structured CRF is a multi-layer CRF mo...