Conference
Digital Processing Applications
About: Digital Processing Applications is an academic conference. The conference publishes majorly in the area(s): Adaptive filter & Image segmentation. Over the lifetime, 179 publications have been published by the conference receiving 1012 citations.
Topics: Adaptive filter, Image segmentation, Wavelet transform, Motion estimation, Signal processing
Papers published on a yearly basis
Papers
26 Nov 1996
TL;DR: It is observed that wavelets concentrate speech energy into bands which differentiate between voiced or unvoiced speech, and it is shown that the Battle-Lemarie wavelet concentrates more than 97.5% of the signal energy into the approximation part of the coefficients.
Abstract: The trend towards real-time, low-bit-rate speech coders dictates current research efforts in speech compression. A method being evaluated uses wavelets for speech analysis and synthesis. Distinguishing between voiced and unvoiced speech, determining pitch, and methods for choosing optimum wavelets for speech compression are discussed. We observe that wavelets concentrate speech energy into bands which differentiate between voiced or unvoiced speech. Optimum wavelets are selected based on energy conservation properties in the approximation part of the wavelet coefficients. It is shown that the Battle-Lemarie wavelet concentrates more than 97.5% of the signal energy into the approximation part of the coefficients followed closely by the Daubechies D20, D12, D10 or D8 wavelets. The Haar wavelets are the worst. Listening tests show that the Daubechies 10 preserves perceptual information better than other Daubechies wavelets and, indeed, a host of other orthogonal wavelets. Pitch periods and evolution can be identified from contour plots of coefficients obtained at several scales.
104 citations
26 Nov 1996
TL;DR: The wavelet transform, which is a new time-scale technique suitable for transient signal detection is applied to phonocardiogram signals taken from group of patients and it has been shown that using this new technique the separation between the normal and abnormal subject could easily be obtained.
Abstract: From a study of the physical characteristics of heart sounds and human hearing capabilities, it is seen that only the highly trained ear may be able to detect heart sounds events. Also from a study of heart sound signals nature and the frequency domain analysis based on direct application of the Fourier transform technique, it is seen that this technique is inappropriate because important time events and features such as frequency change will be lost. To solve the above mentioned problems the wavelet transform, which is a new time-scale technique suitable for transient signal detection is applied to phonocardiogram signals taken from group of patients. It has been shown that using this new technique the separation between the normal and abnormal subject could easily be obtained. Moreover, a separation between the high frequency systolic and diastolic murmurs, and the low frequency systolic and diastolic murmurs can be achieved. Furthermore, the temporal location of the auscultatory gap can be detected, which is usually very difficult to discern even to the trained ear.
62 citations
26 Nov 1996
TL;DR: This work presents a new algorithm using the randomized Hough transform that is found to be fast, memory efficient and accurate with images containing multiple ellipses and noise.
Abstract: Standard methods of ellipse detection are slow and memory intensive. We present a new algorithm using the randomized Hough transform. The algorithm is demonstrated on both synthetic images and simple real-world images. It is found to be fast, memory efficient and accurate with images containing multiple ellipses and noise.
45 citations
26 Nov 1996
TL;DR: A genetic algorithm is developed for recognition of near planar objects under projective transformation and can be generalised in any 2D geometric transformation.
Abstract: A genetic algorithm is developed for recognition of near planar objects under projective transformation. The approach can be generalised in any 2D geometric transformation. No approximation to perspective projection is required, so the camera used for capturing the objects is allowed to locate at arbitrary position away from the scene. A genetic algorithm is employed to search for the optimal solution in order to identify the object and to estimate its location with reference to the model. Encouraging results were obtained by testing the approach from a number of industrial handtools.
27 citations
26 Nov 1996
TL;DR: A quasi-linear control strategy for regulating DC/DC converters under wide parameter variation is implemented using a digital signal processor and the resulting control shows significant improvement in performance over conventional methods.
Abstract: A quasi-linear control strategy for regulating DC/DC converters under wide parameter variation is implemented using a digital signal processor. The design of this DSP-based controller is presented in this paper. Since the control method allows real-time modification of control parameters according to the changing environment, the resulting control shows significant improvement in performance over conventional methods. The proposed controller, being a programmable digital circuit, is highly reliable and flexible. This paper demonstrates the use of digital signal processors in controlling power converters.
26 citations
Performance Metrics
| Year | Papers |
|---|---|
| 1996 | 179 |