• Publications
  • Influence
Application of the wavelet transform for pitch detection of speech signals
TLDR
An event-detection pitch detector based on the dyadic wavelet transform is described. Expand
  • 347
  • 15
Neural network adaptive wavelets for signal representation and classification
TLDR
Methods are presented for adaptively generating wavelet templates for signal representation and classification using neural networks. Expand
  • 389
  • 14
Wavelet transform-based QRS complex detector
TLDR
In this paper, the authors describe a QRS complex detector based on the dyadic wavelet transform (D/sub y/WT) which is robust to time-varying Q RS complex morphology and to noise. Expand
  • 420
  • 8
A comparison of the existence of 'cross terms' in the Wigner distribution and the squared magnitude of the wavelet transform and the short-time Fourier transform
TLDR
It is shown that cross terms comparable to those found in the Wigner distribution (WD) exist for the energy distributions of the wavelet transform (WT) and the short-time Fourier transform (STFT) and that the presence of these cross terms could lead to problems in analyzing a multicomponent signal. Expand
  • 122
  • 8
Classification of modulation of signals of interest
  • S. Kadambe, Q. Jiang
  • Mathematics
  • 3rd IEEE Signal Processing Education Workshop…
  • 1 August 2004
TLDR
We present a novel algorithm to automatically characterize and classify the modulation of signals of interest (SOI). Expand
  • 22
  • 3
A probabilistic approach for blind source separation of underdetermined convolutive mixtures
TLDR
We have developed a method that uses overcomplete expansion of the signal created with a time-frequency transform and a Laplacian source density model to obtain the source signals from the instantaneously mixed signals in the underdetermined case. Expand
  • 21
  • 3
  • PDF
A probabilistic approach for blind source separation of underdetermined convolutive mixtures
  • J. Peterson, S. Kadambe
  • Mathematics, Computer Science
  • IEEE International Conference on Acoustics…
  • 6 July 2003
TLDR
We have developed a method that uses overcomplete expansion of the signal created with a time-frequency transform and a Laplacian source density model to obtain the source signals from the instantaneously mixed signals in the underdetermined case. Expand
  • 12
  • 3
Robust spoken language identification using large vocabulary speech recognition
TLDR
A robust, task independent spoken language identification (LID) system which uses a large vocabulary continuous speech recognition (LVCSR) module for each language to choose the most likely language spoken. Expand
  • 32
  • 1
  • PDF
Suffix stripping algorithm for Kannada information retrieval
TLDR
We propose a suffix stripping algorithm that exploits unique gram­ matical structure of Kannada language. Expand
  • 6
  • 1
Shape normalized subspace analysis for underwater mine detection
  • P. Saisan, S. Kadambe
  • Computer Science
  • 15th IEEE International Conference on Image…
  • 12 December 2008
TLDR
We present a method for classification and localization of sea mines in 2D side-scan sonar imagery. Expand
  • 8
  • 1
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