tài liệu digital signal processing p2 doc

... Mitra [...]... Discrete-Time Signals in the Time Domain 1.1 1 Introduction Digital signal processing is concerned with the processing of a discrete-time signal, called the input signal, to develop ... signal processing. .. J G Lucas, and W S Hodgkiss Digital Signal Processing: A System Design Approach Wiley, New York NY, 1988 Secs 2.1.2–2.1.4 [3] L B Jackson Digital Filters and Signal ... 1988 Secs 2-2 , 2-4 [5] L C Ludeman Fundamentals of Digital Signal Processing Harper & Row, New... Mitra Digital Signal Processing: A Computer-Based Approach McGraw-Hill, New York

Ngày tải lên: 25/01/2014, 08:20

... noise covariance matrix in optimal signal detection, IEEE Trans on Acoustics, Speech, and Signal Processing, ... tracking algorithm, Proc Signal and Data Processing of Small Targets, SPIE ... 70.2DatatobeProcessed 70.3TheProcessingNeedsandMajorIssues 70.4TemporalDOFReduction 70.5AdaptiveFilteringwithNeededandSample-Supportable DOFandEmbeddedCFARProcessing 70.6Scan-To-ScanTrack-Before-DetectProcessing ... space-time processing algorithm... Systems, AES-27(3), 532–539, May 1991 [16] DiPietro, R.C., Extended factored space-time processing for airborne radar systems, Proc 26th Asilomar Conference on Signals,

Ngày tải lên: 13/12/2013, 00:15

... smoothing for estimation of coherent signals, IEEE Trans on Acoust., Speech, and Signal. .. accepted for publication, subject to minor revision, IEEE Trans on Signal Processing, submitted Nov 1995 ... beamforming yields flexible signal processingschemesthat properlyhandlemultipatheffects whicharetypicalin radio communications. Multipath is the term given when the same signal arrives at the destination ... an array processing technique for estimating a desired signal waveform impinging on an array of sensors from a given direction. This technique applies to both narrowband and wideband signals.

Ngày tải lên: 13/12/2013, 00:15

... Acoust Speech, Signal Processing, SP-39(2), 522–526, Feb 1991 [34] Proakis, J.G., Digital Communications, McGraw-Hill,... to improve blind signal copy performance, IEEE Signal Processing ... signal separation in presence of delay spread using antenna arrays, IEEE Signal Processing. .. blind equalization of constant modulus signals: a bilinear approach, in Proc VII European Signal ... andspatialsignalprocessingatthebasestation.ThistechnologyisreferredtoasSmartAntennasor, moreaccurately,asSpace-TimeProcessing(STP).STPreferstoprocessingtheantennaoutputsin bothspaceandtimetomaximizesignalquality.

Ngày tải lên: 13/12/2013, 00:15

... Unified analysis for DOA estimation algorithms in array signal processing, Signal Processing, 25(2), 147–169, Nov 1991 [18] Marple, S.L., Digital Spectral Analysis with Applications, Prentice-Hall, ... fitting, IEEE Trans on Signal Processing, 39(11), 2436–2448, Nov 1991 [35] Viberg, M and Ottersten, B., Sensor array processing based on subspace fitting, IEEE Trans on Signal Processing, 39(5), ... statistics, IEEE Trans on Signal Processing, 39(9), 2016–2023, Sept... Detection of signals by information theoretic criteria, IEEE Trans on Acoustics, Speech, Signal Processing, ASSP-33(2),

Ngày tải lên: 13/12/2013, 00:15

... of three compo- nents: the signal y m (n) that is modeled by the adaptive filter, the signal y u (n) that is unmodeled but that depends on the input signal, and the signal v(n) that is independent ... Acoustics, Speech, Signal Processing, 38(7), 1222–1227, 1990 [17] Regalia, P.A., Stable and efficient lattice algorithms for adaptive IIR filtering, IEEE Trans Signal Processing, 40(2), 375–388, ... and reduced-order approximations, IEEE Trans Signal Processing, 42(6), 1397–1412, 1994 [19] Regalia, P.A., Adaptive IIR Filtering in Signal Processing and... 1984 [13] Kenney, J.B and Rohrs,

Ngày tải lên: 13/12/2013, 00:15

... points, {d(j )}N=0 , also known as reference or desired j T signals, and a sequence of (N + 1) row vectors {uj }N=0 , also known as input signals Each input j T vector uj is a 1 × M row vector whose ... linearly combined via the coefficients of the weight vector and the resulting signal is T compared with the desired signal d(j ) This results in a residual error e(j ) = d(j ) − uj w, for every ... explicitly determine the weight estimate wM,N , but rather to determine estimates for the reference signals {d(·)}, say T dM (N) = uM,N wM,N = estimate of d(N ) of order M Likewise, for the higher-order

Ngày tải lên: 13/12/2013, 00:15

... adaptive signal processing algorithms, IEEE Trans Acoust., Speech, Signal Processing, ASSP-29(3), 439–446, June 1981... and the normalized LMS algorithms, IEEE Trans Signal Processing, ... IEEE Trans Signal Processing, 42(6), 1352–1365, June 1994 [26] Mathews, V.J and Xie, Z., A stochastic gradient adaptive filter with gradient adaptive step size, IEEE Trans Signal Processing, ... critique, Signal Processing, 6(2), 113–133, April 1984 [6] Feuer, A and Weinstein, E., Convergence analysis of LMS filters with uncorrelated data, IEEE Trans Acoust., Speech, Signal Processing,

Ngày tải lên: 13/12/2013, 00:15

... or the TMS320C30, in Digital Signal Processing Applications with the TMS320 Family, Papamichalis, P., Ed., Prentice-Hall,... error criteria, IEEE Trans Signal Processing, 42(6), 1335–1351, ... response signal d(n) consists of a sum of a broadband signal and a nearly periodic signal, and it is desired to separate these two signals without specific knowledge about the signals (such ... y(n) is computed. The output signal is compared to a second signal d(n), called the desired response signal, by subtracting the two samples at time n. This difference signal, given by e(n) = d(n)

Ngày tải lên: 13/12/2013, 00:15

... Bayesian spectrum estimation of harmonic signals, Signal Process c Lett., Vol 2, pp 213–215, 1995 [8] Hayes, M.S., Statistical Digital Signal Processing and Modeling, John Wiley & Sons, ... which plays a major role in many applied sciences such as radar, speech processing, underwater acoustics, biomedical signal processing, sonar, seismology, vibration analysis, control theory, and ... Spectra of Deterministic Signals Beforewe define the concept of spectrum ofa random process, it will beuseful to review the analogous concept for deterministic signals, which are signals whose future

Ngày tải lên: 13/12/2013, 00:15

... Hero, A. “Signal Detection and Classification” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. Williams Boca Raton: CRC Press LLC, 1999 c  1999byCRCPressLLC 13 Signal ... Noise Signal Detection: Known Gains • Signal Detection: Unknown Gains • Signal Detection: Random Gains • Signal Detection: Single Signal 13.6 Spatio-Temporal Signals Detection: Known Gains and Known ... SpatialCovariance 13.7 Signal Classification Classifying Individual Signals • Classifying Presence of Multi- ple Signals References 13.1 Introduction Detection and classification arise in signal processing

Ngày tải lên: 13/12/2013, 00:15

... except that the signal is shifted to the right by no = compared to the periodic sequence in part (a) This sequence is shown in the figure below: 1.9 The power in a real-valued signal x(n) is defined ... output signal (i.e., evaluate the sum) This is a direct application of the geometric series With the substitution of -n for n we have Therefore, it follows from the geometric series that SIGNALS ... Invertibility must hold for complex as well as real-valued signals Therefore, this system is noninvertible because it discards the imaginary part real-valued signals 1.23 ' x(n) One could state, however,...

Ngày tải lên: 25/01/2014, 13:20

... except that the signal is shifted to the right by no = compared to the periodic sequence in part (a) This sequence is shown in the figure below: 1.9 The power in a real-valued signal x(n) is defined ... output signal (i.e., evaluate the sum) This is a direct application of the geometric series With the substitution of -n for n we have Therefore, it follows from the geometric series that SIGNALS ... Invertibility must hold for complex as well as real-valued signals Therefore, this system is noninvertible because it discards the imaginary part real-valued signals 1.23 ' x(n) One could state, however,...

Ngày tải lên: 25/01/2014, 15:20

... digital signal processing / Monson H Hayes p cm — (Schaum's outline series) Includes index ISBN 0–07–027389–8 Signal processing Digital techniques—Problems, exercises, etc Signal processing Digital ... problems of digital signal processing TK5102.H39 1999 621.382'2—dc21 98–43324 CIP Start of Citation[PU]McGraw Hill[/PU][DP]1999[/DP]End of Citation For Sandy Preface Digital signal processing ... analog-to -digital converter that is converting an Analog-to -digital conversion will be discussed in Chap SIGNALS AND SYSTEMS [CHAP analog signal into a discrete-time signal Examples of signals...

Ngày tải lên: 25/01/2014, 15:20

... Exponential Input eζ t The exponential signal is the most important signal in the study of LTI systems Interestingly, the particular solution for an exponential input signal turns out to be very simple ... not a characteristic root c 1999 by CRC Press LLC Recall that the exponential signal includes a large variety of signals, such as a constant (ζ = 0), a sinusoid (ζ = ±j ω), and an exponentially ... number of derivatives, this class of inputs includes a wide variety of the most commonly encountered signals in practice Table 2.1 shows a variety of such inputs and the form of the particular solution...

Ngày tải lên: 25/01/2014, 13:20

... other signal processing applications In classical signal processing a rich set of tools has evolved for processing signals that are deterministic and predictable such as transient and periodic signals, ... Chaotic Signals in Communications Chaotic systems provide a rich mechanism for signal design and generation, with potential applications to communications and signal processing Because chaotic signals ... approaches to signal recovery and characterization in the presence of such distortions for both transient and stochastic signals When the desired signal in the channel is a chaotic signal, or when...

Ngày tải lên: 13/12/2013, 00:15

... detection problem have appeared in signal processing journals such as the IEEE Transactions on Signal Processing More advanced topics that have been addressed in the signal processing literature but not ... easier to determine how many signals are present than to estimate the bearings of those signals, signal detection algorithms typically can correctly determine the number of signals present even when ... Trans Signal Processing, 43, 1413–1426, June 1995 [13] Yin, Y.Q and Krishnaiah, P.R., On some nonparametric methods for detection of the number of signals, IEEE Trans Acoustics, Speech, and Signal...

Ngày tải lên: 13/12/2013, 00:15

... transmissions: (1) Single signal transmission (SST), in which a single signal message is transmitted, and (2) dual signal transmission (DST), in which two separate signal messages are transmitted ... Vector-sensor array processing for electromagnetic source localization, IEEE Trans on Signal Processing, SP-42, 376–398, Feb 1994 [2] Nehorai, A and Paldi, E., Vector sensor processing for electromagnetic ... E., Acoustic vector-sensor array processing, IEEE Trans on Signal Processing, SP-42, 2481–2491, Sept 1994 A short version appeared in Proc 26th Asilomar Conf Signals, Syst Comput., Pacific Grove,...

Ngày tải lên: 13/12/2013, 00:15