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This paper presents a general-purpose computer program which is capable of designing a large class of optimum (in the minimax sense) FIR linear phase digital filters. The program has options for designing such standard filters as low-pass, high-pass, bandpass, and bandstop filters, as well as multipassband-stopband filters, differentiators, and Hilbert… (More)

- Lina J. Karamy, James H. McClellan
- 1995

| The alternation theorem is at the core of eecient real Chebyshev approximation algorithms. In this paper, the alternation theorem is extended from the real-only to the complex case. The complex FIR lter design problem is reformulated so that it clearly satisses the Haar condition of Chebyshev approximation. An eecient exchange algorithm is derived for… (More)

- Ali Cafer Gürbüz, James H. McClellan, Waymond R. Scott
- IEEE Transactions on Signal Processing
- 2009

A novel data acquisition and imaging method is presented for stepped-frequency continuous-wave ground penetrating radars (SFCW GPRs). It is shown that if the target space is sparse, i.e., a small number of point like targets, it is enough to make measurements at only a small number of random frequencies to construct an image of the target space by solving a… (More)

- Yeo-Sun Yoon, Lance M. Kaplan, James H. McClellan
- IEEE Transactions on Signal Processing
- 2006

This paper introduces a new direction-of-arrival (DOA) estimation algorithm for wideband sources called test of orthogonality of projected subspaces (TOPS). This new technique estimates DOAs by measuring the orthogonal relation between the signal and the noise subspaces of multiple frequency components of the sources. TOPS can be used with arbitrary shaped… (More)

- James H. McClellan, Ronald Schafer, +14 authors E. V. Pasternak
- 2009

DOWNLOAD http://bit.ly/1JYJ2vI Signal Processing First For introductory courses (sophomore/junior) in Digital Signal Processing and Signals and Systems. Text is useful as a self-teaching tool for anyone eager to discover more about DSP applications, multi-media signals, and MATLAB. This text is derived from DSP First: A Multimedia Approach, published in… (More)

- Ali Cafer Gürbüz, James H. McClellan, Waymond R. Scott
- Signal Processing
- 2009

The theory of compressive sensing (CS) enables the reconstruction of sparse signals from a small set of non-adaptive linear measurements by solving a convex ' 1 minimization problem. This paper presents a novel data acquisition system for wideband synthetic aperture imaging based on CS by exploiting sparseness of point-like targets in the image space.… (More)

- Ali Cafer Gürbüz, James H. McClellan, Volkan Cevher
- 2008 IEEE International Conference on Acoustics…
- 2008

Compressive sensing (CS) is an emerging area which uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compressible signals. This paper considers the direction-of-arrival (DOA) estimation problem with an array of sensors using CS. We show that by using random projections of the sensor… (More)

- Edward W. Kamen, Bonnie S. Heck, +18 authors Dhati Srinath
- 2012

Designed to develop greater understanding of the principles of signals and systems, these computer exercises make direct connections between theory and application. Using. 670 pages. This book is a self-contained introduction to the theory of signals and systems, which lies at the basis of many areas of electrical and computer engineering. In the… (More)

- Volkan Cevher, Rama Chellappa, James H. McClellan
- IEEE Transactions on Signal Processing
- 2009

We estimate a vehicle's speed, its wheelbase length, and tire track length by jointly estimating its acoustic wave pattern with a single passive acoustic sensor that records the vehicle's drive-by noise. The acoustic wave pattern is determined using the vehicle's speed, the Doppler shift factor, the sensor's distance to the vehicle's… (More)

- R. K. Hersey, W. L. Melvin, James H. McClellan
- Signal Processing
- 2004