A tutorial review of adaptive equalization techniques for combating intersymbol interference in high-speed digital communications over time-dispersive channels is given. Various equalizer structures and the associated...
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A tutorial review of adaptive equalization techniques for combating intersymbol interference in high-speed digital communications over time-dispersive channels is given. Various equalizer structures and the associated adaptive algorithms, including both fractionally spaced and symbol-spaced equalizers, are presented. Also considered is the application of adaptive equalization techniques to underwater acoustic telemetry channels.
A signal-design method based on the integration of coding and modulation, noncoherent demodulation, and soft-decision decoding is described. The integrated coding/modulation approach provides robust signal designs for...
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A signal-design method based on the integration of coding and modulation, noncoherent demodulation, and soft-decision decoding is described. The integrated coding/modulation approach provides robust signal designs for digital communications over rapidly fading channels that may be encountered in medium- and long-range, horizontal-path acoustic telemetry. The structure of the corresponding demodulator/decoder is described and the error rate performance of the resulting system is evaluated for Rayleigh fading signal statistics. Of special interest is the use of concatenated coding for forming codes of large distance, and an example is given using dual-k codes. The performance gains that are achieved by the integrated coded modulation approach relative to conventional uncoded signal designs are also illustrated.
A new method for detecting dominant points is presented. It does not require any input parameter, and the dominant points obtained by this method remain relatively the same even when the object curve is scaled or rota...
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A new method for detecting dominant points is presented. It does not require any input parameter, and the dominant points obtained by this method remain relatively the same even when the object curve is scaled or rotated. In this method, for each boundary point, a support region is assigned to the point based on its local properties. Each point is then smoothed by a Gaussian filter with a width proportional to its determined support region. A significance measure for each point is then computed. Dominant points are finally obtained through nonmaximum suppression. Unlike other dominant point detection algorithms which are sensitive to scaling and rotation of the object curve, the new method will overcome this difficulty. Furthermore, it is robust in the presence of noise. The proposed new method is compared to the Teh-Chin algorithm (see C. Teh and R. T. Chin, IEEE Trans. Pattern Anal. Mach. Intell. 11, 859-872 (1989)) in terms of the computational complexity, the approximation errors and the number of detected dominant points of an object curve.
The novelty of the proposed method is based on exploring the concept of constrained notch filtering (CNF) as applied to any given arbitrary signal with time varying parameters. First, it is shown that any signal with ...
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The novelty of the proposed method is based on exploring the concept of constrained notch filtering (CNF) as applied to any given arbitrary signal with time varying parameters. First, it is shown that any signal with a constant envelope such as FM may be transformed to a discrete sinusoidal one by applying nonuniform sampling strategy. Second, a signal buried under a strong FM interference is retrieved by applying CNF in the transformed time domain. The main assumption made is that there exists an auxiliary input which provides information about the instantaneous frequency of the interference.
It is shown that vertex implication results in parameter space apply to interval trigonometric polynomials. Subsequently, it is shown that the frequency responses of both interval FIR and IIR filters are bounded by th...
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It is shown that vertex implication results in parameter space apply to interval trigonometric polynomials. Subsequently, it is shown that the frequency responses of both interval FIR and IIR filters are bounded by the frequency responses of certain extreme filters. The results apply directly in the evaluation of properties of designed filters, especially because it is more realistic to bound the filter coefficients from above and below instead of determining those with infinite precision because of finite arithemetic effects. Illustrative examples are provided to show how the extreme filters might be easily derived in any specific interval FIR or IIR filter design problem.
The transition from uniprocessor to multiprocessor architectures is mandated to achieve real-time performance in computer-based medical systems for biomedical signal and image processing.
The transition from uniprocessor to multiprocessor architectures is mandated to achieve real-time performance in computer-based medical systems for biomedical signal and image processing.
This correspondence introduces an efficient pipelined realization structure of the a priori lattice-ladder least squares multi-channel algorithm. The structure is shown to exihibit great modularity and high parallelis...
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This correspondence introduces an efficient pipelined realization structure of the a priori lattice-ladder least squares multi-channel algorithm. The structure is shown to exihibit great modularity and high parallelism. The new architecture is evaluated for cost and data throughput delay assuming pipelined operations. It is demonstrated that the throughput rate of the structure is O(1) and the cost O(l2N) where l is the number of channels and N the order of the filter.
We consider the integration problem of LAN/MAN traffic to WAN by ATM/SONET multiplexing. We propose separate buffers for voice and data to efficiently control the throughput of each traffic type. Transmission bandwidt...
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Severe inter-symbol-interference (ISI) due to multipath fading broadcast channels requires the equalization of digital teletext signals for reliable operation. Until now, the equalization of the teletext signals has b...
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Severe inter-symbol-interference (ISI) due to multipath fading broadcast channels requires the equalization of digital teletext signals for reliable operation. Until now, the equalization of the teletext signals has been achieved by conventional adaptive equalization. However, these equalizers need a training signal which is sent during the potential data transmission time. Also, conventional adaptive equalizers are very poor in tracking changing channel characteristics which are often encountered in fading multipath environments. This paper suggests the use of blind adaptive equalization, which removes the mentioned drawbacks of the conventional adaptive equalization. The paper also deals with the compatibility of the proposed blind equalizer with the existing teletext system standards and cost-effectiveness issues. computer simulations demonstrate substantial improvements in the bit-error-rates for the received teletext data in a multipath transmission medium.
Auditory evoked brainstem response (ABR) can be modeled as two closely spaced sinusoids immersed in noise. Conventional methods on the FFT are often not useful in the spectral estimation of short-duration ABRs. The au...
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Auditory evoked brainstem response (ABR) can be modeled as two closely spaced sinusoids immersed in noise. Conventional methods on the FFT are often not useful in the spectral estimation of short-duration ABRs. The authors propose the use of constrained adaptive notch filters (CANFs) implemented as a cascade of second-order sections, and discuss two special configurations based on CANF combined with a constrained notch filter (CNF) with fixed parameters. The problem associated with the convergence of the direct-form implementation of higher-order CANFs to a local minimum is also addressed. The methods proposed are shown to provide reliable spectral estimation and enhancement of the real data ABRs.< >
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