Nonlinear diffusion has long proven its capability for discontinuity-preserving removal of noise in image processing. We investigate the possibility to employ diffusion ideas for the denoising of audio signals. An important difference between image and audio signals is which parts of the signal are considered as useful information and noise. While small-scale oscillations in visual images are n...

There is continuous research effort into the expansion and refinement of transform techniques for audio signal processing needs, yet the two-dimensional Fourier transform has seldom been applied to audio. This is probably because audio does not readily allow the application of a 2D transform, unlike images for which its use is common. A signal mapping is first required to obtain a two-dimension...

Missing data in corrupted audio recordings poses a challenging problem for audio signal processing. In this paper we present an approach that allows us to estimate missing values in the time-frequency domain of audio signals. The proposed approach, based on the Nonnegative Hidden Markov Model, enables more temporally coherent estimation for the missing data by taking into account both the spect...

This paper proposes a cryptography technique for audio to increases the security of audio data meant to be transferred on an insecure medium. The audio is recorded in real time using microphone which is applied with five level of encryption which creates a cipher signal which is routed through an insecure line for the recipient who on receiving that signal decrypts the cipher signal in order to...

An Audio Signal Processor analyze sound signals, process them and explore the signal properties. This paper is a part of the work carried out by the authors for designing the Audio Processor in MATLAB software providing basic functions to read, play and write the sound signal along with signal processing toolbox, which includes numerous functions that work on signals. A unique feature of the pa...

First, we propose two versions of a sliding window, block based parameter estimator for estimating the parameters in a symmetrical stable distribution. The proposed estimator is suitable for parameter estimation in audio signals. Second, the suitability of the stable distribution, for modelling audio signals, is discussed. For a broad class of audio signals, the distribution and the stationarit...

Signal processing is an exciting area of research and development. Much recent progress has been driven by applications involving speech and audio processing, image and video processing, radar, sonar, and seismology. The purpose of this technical comment will be to highlight some of the relations between signal processing and control. The two areas share many common methodologies for analysis, ...

In this paper, a noninvasive portable prototype is presented for biomedical audio signal processing. The proposed suitable monitoring the health of patients. hardware setup consists cost-effective microphone, multipurpose microcontroller and computing node that could be mobile phone or general-purpose computer. Using parallel high-performance techniques, allows one to register wirelessly multic...

One of the research areas of the Signal Processing group at the Eindhoven University of Technology is in adaptive array signal processing. It is concerned with the application of adaptive signal processing techniques to the outputs of a spatially distributed array of sensors. The power of these techniques lies in the possibility of achieving improvements in directivity and measured Signalto-Noi...