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The design of optimal nonlinear filters for signal processing has involved mostly nonparametric estimation. This paper discusses the elements of parametric design for analog signal processing. It provides details for the class of conjunctive homothetic granulometric bandpass filters. These are nonlinear and their optimization in the signal-union-noise model for random sets can be completely characterized...
Through the present paper the use of Negative Beamforming for Speech Enhancement is explored. This method may be used to eliminate or enhance a specific signal using a binaural array, and its extension to three-microphone arrays is also shown. The fundamentals of the technique are reviewed, and a structure to control and improve its angular selectivity is presented. Results obtained in a real situation...
In deep submicron (DSM) VLSI technology, deviations in node voltages due to DSM noise can lead to erroneous system outputs in VLSI implementations of DSP and communication algorithms degrading their performance in terms of signal-to-noise ratio (SNR) or bit-error-rate (BER). We present algorithmic noise-tolerance schemes for digital filtering to detect such errors in system output and mitigate their...
In this paper we consider the problem of motion estimation, analysis and selective reconstruction of objects undergoing rotational motion. There are multiple objects rotating with different angular velocities in the image sequences. The goal is to estimate their distinct motion parameters(in this case is the angular velocities), and also identify their locations at each time instance by selective...
A general framework for specifying and designing one-dimensional FIR digital filters is presented. The system uses piecewise polynomials to guarantee that the ideal impulse response maintains continuity up to a given number of derivatives (given as parameter p). In this system, it is possible to efficiently design optimal (in the least-squares sense) digital filters that converge pointwise to any...
The automatic sleep analysis is difficult task. The signals needed to perform the analysis are at least EEG and EOG. In this paper, the analysis is made mainly by using the EOG signal, and only the part of the EEG signal, the delta-band. The Gaussian mixture model (GMM) is calculated from the signals after detection of the eye movements and the processing of the EEG signal. The results show the eye...
A new method of designing IIR filters with tuneable delay is presented. The proposed variable delay filters consist of a number of parallel fixed-coefficient IIR filters whose outputs are weighted and added up. The weights are affected only by the required delay. In this paper they are chosen as simple polynomial functions of the delay but other selection are also possible. The fixed-coefficient filters...
We consider Digital Signal Processor (DSP) based IQ modulators generating Continuous Phase Frequency Shift Keying (CPFSK) signals. Departures from a flat-magnitude, linear phase frequency response in the pass bands of signal reconstruction filters in the / and Q channels cause ripple in the modulator output signal envelope. Amplitude Modulation (AM) in the signal envelope function produces undesirable...
The paper extends further the wave digital filter (WDF) design problem. It presents a direct design method for bandpass wave digital filters having simple ladder structures for which the amplitude function has the same features of Chebyshev response. This is relying on the proper formulation of the transmission function in the reference domain such that the transmission zeros occur at the origin and...
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