Training sequences for estimation of channel parameters have been well designed under the condition that the number of the unknown channel parameters is not greater than the numbe...
This paper studies a method for learning a discriminative visual codebook for various computer vision tasks such as image categorization and object recognition. The performance of...
This paper studies conditions under which a signal can be reconstructed from partial frequency content. We focus on signals in shiftinvariant spaces generated by multiple generato...
This work addresses the problem of identifying multiple fundamental frequencies in an acoustic signal. An auditoryinspired peripheral signal processing model is proposed that func...
Ramdas Kumaresan, Vijay Kumar Peddinti, Peter Cari...
- In multiview video coding, disparity compensated prediction exploits the correlation among different views. A common approach is to use the conventional motion compensated predic...
The focus of this paper is to provide a framework for the joint optimization of both the coefficient quantization and multiple constant multiplication (MCM) problems. It is known...
We present a novel, maximum likelihood framework for automatic spike-sorting based on a joint statistical model of action potential waveform shape and inter-spike interval duratio...
Reliable acoustic-phonetic (AP) information derived from the speech signal can be used to detect and correct errors in the output of a phone recognizer. In this paper, limited aco...
N. Dhananjaya, B. Yegnanarayana, Suryakanth V. Gan...
In this paper, we evaluate the performance of existing and new objective measures in terms of predicting the quality of reverberant speech and speech enhanced by dereverberation a...
In this paper, we study speech enhancement in eigen-domain. In our previous work on audible noise reduction, we use masking properties of the human auditory system to define the ...