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Signal Processing, IEEE Transactions on

Issue 2 • Date Feb 1996

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Displaying Results 1 - 25 of 31
  • Optimal filter banks for signal reconstruction from noisy subband components

    Publication Year: 1996 , Page(s): 212 - 224
    Cited by:  Papers (27)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1436 KB)  

    Conventional design techniques for analysis and synthesis filters in subband processing applications guarantee perfect reconstruction of the original signal from its subband components. The resulting filters, however, lose their optimality when additive noise due, for example, to signal quantization, disturbs the subband sequences. We propose filter design techniques that minimize the reconstructi... View full abstract»

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  • A translation-invariant wavelet representation algorithm with applications

    Publication Year: 1996 , Page(s): 225 - 232
    Cited by:  Papers (72)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (768 KB)  

    We address the time-varying problem of wavelet transforms, and a new translation-invariant wavelet representation algorithm is proposed. Using the algorithm introduced by Beylkin (see SIAM J. Numer. Anal., vol. 29, p.1716-1740, 1992), we compute the wavelet transform for all the circular time shifts of a length-N signal in O(N log N) operations. The wavelet coefficients of the time shift with mini... View full abstract»

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  • Closed-form 2-D angle estimation with rectangular arrays in element space or beamspace via unitary ESPRIT

    Publication Year: 1996 , Page(s): 316 - 328
    Cited by:  Papers (139)  |  Patents (5)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1236 KB)  

    The UCA-ESPRIT is a closed-form algorithm developed for use in conjunction with a uniform circular array (UCA) that provides automatically paired source azimuth and elevation angle estimates. The 2-D unitary ESPRIT is presented as an algorithm providing the same capabilities for a uniform rectangular array (URA). In the final stage of the algorithm, the real and imaginary parts of the ith eigenval... View full abstract»

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  • Spherical trigonometry, Yule's PARCOR identity, and FRLS fully normalized lattice

    Publication Year: 1996 , Page(s): 427 - 430
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (392 KB)  

    Yule's PARCOR identity is recognized as the cosine law of spherical trigonometry. The six PARCORs propagated by the fully normalized FRLS lattice filter are the cosines of the six elements of a spherical triangle, and this lattice algorithm is one solution to a spherical triangle problem that arises naturally in navigation and astronomy. Exploiting this new geometric interpretation yields unnotice... View full abstract»

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  • Signal modeling and detection using cone classes

    Publication Year: 1996 , Page(s): 329 - 338
    Cited by:  Papers (15)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (932 KB)  

    A new signal model-the cone classes-is presented. These models include classical models such as subspaces but are more general and potentially more useful than some existing signal models. Examples of cone classes include time-frequency concentrated classes and subspaces with bounded mismatch. The maximum likelihood detector for a cone class of signals in the presence of Gaussian noise is derived,... View full abstract»

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  • Maximum likelihood estimation for array processing in colored noise

    Publication Year: 1996 , Page(s): 169 - 180
    Cited by:  Papers (20)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (864 KB)  

    Direction of arrival estimation of multiple sources, using a uniform linear array, in noise with unknown covariance is considered. The noise is modeled as a spatial autoregressive process with unknown parameters. Both stochastic and deterministic signal models are considered. For the random signal case, an approximate maximum likelihood estimator of the signal and noise parameters is derived. It r... View full abstract»

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  • A VLSI-oriented parallel FFT algorithm

    Publication Year: 1996 , Page(s): 445 - 448
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (264 KB)  

    Usually, parallel pipelined FFT processors are used to compute long FFTs due to high processing rate and easy implementation. The efficient VLSI implementation of each FFT processor at the pipelines is a critical problem to be considered. We propose a new parallel FFT algorithm that removes the complex multiplier between the two pipeline stages. The new algorithm also simplifies the address genera... View full abstract»

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  • ARMA lattice identification: a new hereditary algorithm

    Publication Year: 1996 , Page(s): 360 - 370
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (944 KB)  

    This paper derives an identification solution of the ARMA-type optimal linear predictor as a time varying-lattice of arbitrarily fixed dimension for a process whose output signal only is known. The projection technique introduced here leads to a hereditary algorithm that is the adaptive extension to raw data of the authors' previous results on lattice realization from given autocorrelation functio... View full abstract»

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  • Derived PDF of maximum likelihood signal estimator which employs an estimated noise covariance

    Publication Year: 1996 , Page(s): 305 - 315
    Cited by:  Papers (29)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1008 KB)  

    A probability density function (PDF) for the maximum likelihood (ML) signal vector estimator is derived when the estimator relies on a noise sample covariance matrix (SCM) for evaluation. By using a complex Wishart probabilistic model for the distribution of the SCM, it is shown that the PDF of the adaptive ML (AML) signal estimator (alias the SCM based minimum variance distortionless response (MV... View full abstract»

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  • On the uniform ADC bit precision and clip level computation for a Gaussian signal

    Publication Year: 1996 , Page(s): 434 - 438
    Cited by:  Papers (5)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (448 KB)  

    The problem of computing the required bit precision of analog-to-digital converters is revisited with emphasis on Gaussian signals. We present two methods of analysis. The first method fixes the probability of overload and sets the dynamic range of the quantizer to accommodate the worst-case signal-to-quantization noise ratio (SQNR). The second method sets the clipping level of the quantizer to me... View full abstract»

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  • A quadratically convergent algorithm for convex-set constrained signal recovery

    Publication Year: 1996 , Page(s): 248 - 266
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2864 KB)  

    This paper addresses the problem of recovering a signal that is constrained to lie in a convex set, from linear measurements. The current standard is the alternating projections paradigm (POCS), which has only first-order convergence in general. We present a quadratically convergent iterative algorithm (Newton algorithm) for signal recovery from linear measurements and convex-set constraints. A ne... View full abstract»

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  • A detailed derivation of arrays free of higher rank ambiguities

    Publication Year: 1996 , Page(s): 351 - 359
    Cited by:  Papers (21)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (904 KB)  

    Since linear dependence of steering vectors would lead to ambiguous direction-of-arrival (DOA) estimates, it is crucial to employ array with linearly independent steering vectors in DOA estimation applications. In fact, it is well known that in order to determine uniquely the DOAs of ν uncorrelated signals, one requires an array that is free of up to rank-ν ambiguities (i.e., an array whose ... View full abstract»

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  • Cycle-static dataflow

    Publication Year: 1996 , Page(s): 397 - 408
    Cited by:  Papers (129)  |  Patents (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1196 KB)  

    We present cycle-static dataflow (CSDF), which is a new model for the specification and implementation of digital signal processing algorithms. The CSDF paradigm is an extension of synchronous dataflow that still allows for static scheduling and, thus, a very efficient implementation of an application. In comparison with synchronous dataflow, it is more versatile because it also supports algorithm... View full abstract»

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  • Direction of arrival estimation using parametric signal models

    Publication Year: 1996 , Page(s): 339 - 350
    Cited by:  Papers (14)  |  Patents (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1008 KB)  

    We consider the problem of estimating the directions-of-arrival (DOAs) of narrowband sources with known center frequency. The paper evaluates the potential improvement in estimation accuracy by using spatial-temporal processing for signals obeying a deterministic parametric model. One would expect that prior information about the temporal structure of the signals will yield some gain in performanc... View full abstract»

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  • Complex fuzzy adaptive filter with LMS algorithm

    Publication Year: 1996 , Page(s): 424 - 427
    Cited by:  Papers (12)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (340 KB)  

    A fuzzy adaptive filter is constructed from a set of fuzzy IF-THEN rules that change adaptively to minimize some criterion function as new information becomes available. This paper generalizes the fuzzy adaptive filter based on least mean squares (LMS) to include complex parameters and complex signals. The fuzzy filter as adaptive equalizer is applied to quadrature amplitude modulation (QAM) digit... View full abstract»

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  • Nonparametric waveform estimation using filter banks

    Publication Year: 1996 , Page(s): 239 - 247
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (804 KB)  

    This paper presents a nonparametric method for estimating waveforms of event-related signals embedded in additive noise. The signals have transient character with varying shapes and arrival times. The estimation method is based on a series expansion of the signal by a set of basis functions. Using a template that contains a priori information, two sets of basis functions are designed by means of o... View full abstract»

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  • On the computation of the length-2m discrete cosine and sine transforms via the permuted difference coefficient

    Publication Year: 1996 , Page(s): 387 - 396
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (936 KB)  

    An intrinsic property, wherein the set of numbers formed using the magnitudes of a basis vector's elements is the same for all basis vectors in a length-2m type-III discrete sine transform (DST) and discrete cosine transform (DCT), is proved. We also show that the set of numbers formed using the magnitudes of any basis vector's elements in a length-2m type-III DST is the same... View full abstract»

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  • A CORDIC-based unified systolic architecture for sliding window applications of discrete transforms

    Publication Year: 1996 , Page(s): 441 - 444
    Cited by:  Papers (9)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (380 KB)  

    A CORDIC-based, unified systolic architecture for sliding window applications of the discrete Fourier transform (DFT), the discrete Hartley transform (DHT), the discrete cosine transform (DCT), and the discrete sine transform (DST) is proposed. Compared to earlier works, the proposed scheme offers significant reduction in hardware, particularly for DHT. For an N-point DHT, it requires only [N/2]+1... View full abstract»

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  • Relative Karhunen-Loeve transform

    Publication Year: 1996 , Page(s): 371 - 378
    Cited by:  Papers (36)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (884 KB)  

    The Karhunen-Loeve transform (KLT) provides the best approximation for a stochastic signal under the condition that its rank is fixed. It has been successfully used for data compression in communication. However, since the KLT does not consider noise, its ability to suppress noise is very poor. For the optimum linear data compression in the presence of noise, we propose the concept of a relative K... View full abstract»

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  • A parametric class of discrete Gabor expansions

    Publication Year: 1996 , Page(s): 201 - 211
    Cited by:  Papers (8)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1028 KB)  

    The Gabor expansion and its discretization have been widely studied, and many potential applications have been suggested in various signal processing problems. A new approach to the study of the discrete Gabor expansion (DGE) is introduced and analyzed in detail using the theory of pseudoframe decompositions. A parametric and analytical formula for a class of different Gabor analysis sequences is ... View full abstract»

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  • Analysis of a polarized seismic wave model

    Publication Year: 1996 , Page(s): 379 - 386
    Cited by:  Papers (18)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (704 KB)  

    We present a model for polarized seismic waves where the data are collected by three-component geophone receivers. The model is based on two parameters describing the polarization properties of the waveforms. These parameters are the ellipticity and the orientation angle of the polarization ellipse. The model describes longitudinal waveforms (P-waves) as well as elliptically polarized waves. For t... View full abstract»

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  • Eigenvalues of (↓2)H and convergence of the cascade algorithm

    Publication Year: 1996 , Page(s): 233 - 238
    Cited by:  Papers (16)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (572 KB)  

    This paper is about the eigenvalues and eigenvectors of (↓2)H. The ordinary FIR filter H is a convolution with a vector h=(h(O),...,h(N)), which is the impulse response. The operator (↓2) downsamples the output y=h*x, keeping the even-numbered components y(2n). Where H is represented by a constant-diagonal matrix, this is a Toeplitz matrix with h(k) on its kth diagonal, the odd-numbered ... View full abstract»

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  • A broadband beam former with pole-zero unconstrained jammer rejection in linear arrays

    Publication Year: 1996 , Page(s): 438 - 441
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (364 KB)  

    A new architecture is presented for broadband cancellation of jammer signals in a linear equally spaced array of sensors, where the jammers can be coherent or noncoherent with the target signal. Unique features lie in the ability of the preprocessor to cancel all poles in the ideal filters and simplify the remaining zeros. As a result, the adaptive process for jammer cancellation need only estimat... View full abstract»

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  • An extended Kalman filter frequency tracker for high-noise environments

    Publication Year: 1996 , Page(s): 431 - 434
    Cited by:  Papers (21)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (440 KB)  

    The problem of constructing a frequency tracker for weak, narrowband signals with slowly varying frequency is considered. An extended Kalman filter is proposed that uses prior knowledge of the nature of the signal to overcome the difficulties presented by the inherent nonlinearity of the problem and the very low signal-to-noise ratios View full abstract»

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  • Algorithm for mapping all-pole system parameters to wave-digital filter multiplier coefficients

    Publication Year: 1996 , Page(s): 421 - 423
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (280 KB)  

    Based on the technique of wave-chain matrices and the digital equivalent of canonic polynomials, a recursive algorithm is derived to map the parameters of an all-pole system to the multiplier coefficients of a wave-digital filter consisting of two-port adaptor cascades. The algorithm will be useful in all-pole system modeling which adopts such a filter as a final form of realization View full abstract»

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Aims & Scope

IEEE Transactions on Signal Processing covers novel theory, algorithms, performance analyses and applications of techniques for the processing, understanding, learning, retrieval, mining, and extraction of information from signals

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Meet Our Editors

Editor-in-Chief
Sergios Theodoridis
University of Athens