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Item WAVEFORM ANALYSIS USING DIGITAL TECHNIQUE(1967) GOTTLIEB, ELIEZERItem ASPECTS OF THE RESPONSE OF A MIXED MICROBIAL CULTURE TO VARIATIONS IN LOADING(1969) MCLELLAN, JAMES CHARLESItem A MIXED FLAT AND EQUAL-RIPPLE CRITERION FOR FILTER DESIGN(1970) SOUTO, FERNANDO SIMOESItem SIGNAL PROCESSING TECHNIQUES BASED ON SPLINE FUNCTIONS(1971) NETRAVALI, ARUN NARAYANItem GEOMETRY OF PARTIAL SUMS(1971) READ, RANDOL ROBERT; Burrus, C. SidneyItem THE SPLINE APPROXIMATION IN SYSTEM SIMULATION BY DIGITAL COMPUTER(1972) KAO, CHARLES TZU-TAIItem ON THE DESIGN OF ONE-DIMENSIONAL AND TWO-DIMENSIONAL FIR (FINITE DURATIONIMPULSE RESPONSE) DIGITAL-FILTERS(1973) MCCLELLAN, JAMES HAROLDItem ON REALIZATION OF DIGITAL FILTERS(1974) AGARWAL, RAMESH CHANDRAItem DESIGN OF FINITE-IMPULSE RESPONSE DIGITAL FILTERS(1974) FISHER, JOHN DAVIDItem OPTIMAL RECONSTRUCTION OF SIGNALS IN CONE CLASSES FROM SPECIFIED LINEAR FUNCTIONALS(1974) MEIER, RUSSELL GILBERTItem ANALYSIS AND DESIGN OF PERIODICALLY TIME-VARYING DIGITAL FILTERS(1974) MEYER, ROBERT ABBOTTItem The Effect of Intersymbol Interference on the Performance of a Digital FM System(1974-10-20) Papantoni-Kazakos, P.; Paz, I.The error performance of a digital FM system is studied in the presence of additive Gaussian noise. The digital system considered is a conventional one employing a voltage-controlled oscillator as the modulator and a limiter-discriminator followed by a low-pass filter as the demodulator. The notion ofItem On a Class of Minimum Energy Controls Related to Spline Functions(1975-07-20) Netravali, Arun N.; de Figueiredo, Rui J.P.The problem of determining a minimum energy control for a dynamically interconnected set of p single-input single-output finite-dimensional linear time-varying dynamical systems, for which the outputs are constrained to assume prescribed values at different points in time is considered. It is shown that the solution (optimal controller) is obtained by performing a linear operation on an appropriate vector-valued generalized interpolating spline.Item PARAMETER ESTIMATION FOR VOICED SPEECH SIGNALS(1977) WISE, JAMES DALE, JR.Item SEQUENTIAL PROCEDURES AND DISTANCE MEASURES IN DATA PROCESSING(1977) LI, ROBERT YUAN-SHIHItem ON THE DESIGN OF IIR DIGITAL FILTERS WITH APPLICATIONS TO MULTIRATE FILTERING(1978) MARTINEZ, HORACIO GREGORIOItem OPTIMAL NONLINEAR STRUCTURE PRESERVING FEATURE EXTRACTION(1978) STARKS, SCOTT ALLENItem Digital Signal Processing Structures: Block and Multidemensional Formulation and Distributed Arithmetic(1978-01-20) Burrus, C. SidneyIn this report we will consider a special class of digital filter structure; and by structure we mean the particular arrangement and sequence of arithmetic and storage operations to realize a desired signal processing function. The more conventional structures consist of an interconnection of arithmetic operations such as addition and multiplication with storage elements such as memory registers. The filter is implemented in hardware by wireing together electronic modules that perform these functions or in software by a program that directs a general purpose computer to carry out the operations. These structures area analogous to analog or continuous time active and passive filters; indeed, many digital structures have exact analog counterparts as active filters.Item OPTIMAL ESTIMATION FOR BANDLIMITED SIGNALS(1979) KOLBA, DEAN PAULThe problem of estimation for bandlimited signals is investigated. The desired estimate is based on a finite number of time samples taken from a measurement interval of length T(,M). With no additional information, the estimate is based on these samples alone. When the signal is bandlimited with normalized bandwidth (beta), this provides additional information which is used to improve the estimate by extrapolating the signal. The effectiveness of this extrapolation is limited to an interval of length T(,L) (DBLTURN) T(,M)/2(beta). A survey of various bandlimited estimation methods is made. These methods do not make explicit use of the effective extrapolation limit T(,L). A new estimation method for bandlimited signals is then described which does incorporate the interval T(,L) into the problem formulation. For many bandlimited signals, this new method yields better estimation than the previous methods. Estimation error bounds and examples are presented in comparing the methods. Estimation with inexact data is considered. Sensitivity of the bandlimited estimation methods to errors in the data is discussed. Estimation with smoothing is utilized in reducing the effects of this noise. A recursive algorithm for the calculation of the new estimation method is described. The estimates are computed using discrete prolate spheriodal sequences. A Fortran program implementing the new bandlimited estimation method is presented.Item A recursive algorithm for digital Image Processing using Local Statistics(1979-06-20) de Figueiredo, Rui J.P.An algorithm is presented for digital image processing based on local statistics. The algorithm constitutes a recursive implementaiton of an approach proposed and implemented nonrecursively by J.S. Lee (Naval Research Laboratory Report 8192, March 1978). Calculations show that the proposed recursion introduces considerable improvement in efficiency.