... 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,...
... 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,...
... digitalsignalprocessing / Monson H Hayes p cm — (Schaum's outline series) Includes index ISBN 0–07–027389–8 SignalprocessingDigital techniques—Problems, exercises, etc SignalprocessingDigital ... problems of digitalsignalprocessing 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 Digitalsignalprocessing ... 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...
... 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 ... S., Introduction to Difference Equations, John Wiley & Sons, New York, 1958 [3] Lathi, B.P., SignalProcessing and Linear Systems, Berkeley-Cambridge Press, Carmichael, CA, 1998 c 1999 by CRC...
... 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...
... other signalprocessing applications In classical signalprocessing 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 signalprocessing 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...
... detection problem have appeared in signalprocessing journals such as the IEEE Transactions on SignalProcessing More advanced topics that have been addressed in the signalprocessing 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...
... 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,...
... realization for FIR adaptive digital filters, IEEE Trans Acoust., Speech, Signal Process., Vol ASSP-31(5), 1073–1083, Oct 1983 [2] Bellanger, M.G., Adpative Digital Filters and Signal Analysis, Marcel ... for two-dimensional adaptive signal processing, Ph.D dissertation, University of Illinois at Urbana-Champaign, 1995 [22] Widrow, B and Stearns, S.D., Adaptive Signal Processing, Prentice-Hall, ... suited to 2-D signalprocessing Orthogonal transforms with power normalization can be used to accelerate the convergence of an adaptive filter in the presence of a colored input signal The 2-D...
... [4] Orfanidis, S.J., Optimum Signal Processing, 2nd ed., McGraw-Hill, New York, 1988 [5] Kalouptsidis, N and Theodoridis, S., Adaptive System Identification and SignalProcessing Algorithms, Prentice-Hall, ... and Signal Processing, ASSP-34(6), 1589–1602, Dec 1986 [20] Bojanczyk, A.W and Steinhardt, A.O., Stabilized hyperbolic householder transformations, IEEE Trans Acoustics, Speech, and Signal Processing, ... and Signal Processing, ASSP-31(6), 1394–1402, Dec 1983 [12] Cioffi, J., and Kailath, T., Fast recursive-least-squares transversal filters for adaptive filtering, IEEE Trans Acoustics, Speech and Signal...
... random signals, IEEE Trans on Signal Processing, 131–146, 1993 [58] Schell, S.V., An overview of sensor array processing for cyclostationary signals, in Cyclostationarity in Communications and Signal ... Control and Signal Processing, 10, 159–176, 1996 [63] Tsatsanis, M.K and Giannakis, G.B., Optimal linear receivers for DS-CDMA systems: a signalprocessing approach, IEEE Trans on Signal Processing, ... stationary signals and time-invariant systems CS signal analysis exploits two extra features not available with scalar stationary signal processing, namely: (1) ability to separate signals on...
... Control, IEEE Trans on Information Theory, IEEE Trans on Signal Processing, Int J Adaptive Control and Signal Processing, Int J Control, and SignalProcessing Nonengineering journals that also publish ... signalprocessing to the design of discrete-time (digital) filters that process uncertain data in a optimal manner Estimation theory can, therefore, be viewed as a natural adjunct to digitalsignal ... measurement data {z(j ), j = 1, 2, , N} Fixed-interval smoothing is very useful in signalprocessing situations, where the processing is done after all the data are collected It cannot be carried out...
... LLC Signalprocessing applications inherently follow the data flow execution model Processing Graph Methodology (PGM) [26] from Naval Research Laboratory was developed specifically to capture signal ... Architectural Design Signalprocessing systems are characterized as having high throughput requirements as well as stringent physical constraints However, due to economic objectives, signalprocessing ... system Thus, VHDL’s first application in the development of a signalprocessing system is an executable requirement which may include signal transformations, data format, modes of operation, timing...
... newer generations of devices DigitalSignalProcessing encompasses a variety of applications, such as digital filtering, speech and audio processing, image and video processing, and control All ... signals Read/write signal Strobe signal Reset input External user interrupt inputs Microprocessor/microcomputer mode select pin Microstate complete signal Interrupt acknowledge signal Data ready ... of the primary bus Read/write signal for primary bus interface External access strobe for the primary bus Ready signal Hold signal for primary bus Hold acknowledge signal for primary bus 32-bit...
... process, IEEE Trans Signal Processing, 41, 2977–2989, Oct 1993 [15] Deriche, M and Tewfik, A.H., Signal modeling with filtered discrete fractional noise processes, IEEE Trans Signal Processing, 41, ... addressing signalprocessing problems involving 1/f processes is based on a generalized autoregressive moving-average framework These models have been used both in signal modeling and processing ... Technology 73.1 Introduction Fractal signal models are important in a wide range of signalprocessing applications For example, they are often well-suited to analyzing and processing various forms of...
... Estimating Chaotic Signals in Noise The hybrid signal representation described in the previous section can be applied to a classical signalprocessing problem—estimating a signal in white Gaussian ... systems, in Proc Intl Conf Acoust Speech, Signal Processing, 1992 [17] Kay, S and Nagesha, V., Methods for chaotic signal estimation, IEEE Trans Signal Processing, 43(8), 2013, 1995 [18] Hofbauer, ... other signals The analysis underlying these types of applications depends on signal representations that provide insight into the structure of chaotic signals c 1999 by CRC Press LLC 72.3 Signals...
... Background Theory Array processing uses information regarding the spatial locations of signals to aid in interference suppression and signal enhancement The spatial locations of signals may be determined ... amplify undesired directional signals The spatial frequency characteristics of signals enable numerous enhancement opportunities via array processing algorithms Array processing algorithms are typically ... 1999 by CRC Press LLC w The output signal y will approach the value of the desired signal as the interfering signals are canceled until it converges to the desired signal in the least squares sense...