**Links:**| Recent Manuscripts | Journal Papers | Conference Papers | Technical Reports & Theses | Copyright Notice |

## RECENT MANUSCRIPTS

**[B1]**W.U. Bajwa and A. Pezeshki, “Finite frames for sparse signal processing,” in

*Finite Frames*, P. Casazza and G. Kutyniok, Eds. Cambridge, MA: Birkhäuser Boston, 2012, Ch. 10, pp. 303-335.

**[J16]**W.U. Bajwa and D. Mixon, “A multiple hypothesis testing approach to low-complexity subspace unmixing,”

*in review for journal publication*, Aug. 2014.

**[J15]**W.U. Bajwa, M.F. Duarte, and R. Calderbank, “Conditioning of random block subdictionaries with applications to block-sparse recovery and regression,”

*in review for journal publication*, Sep. 2013.

**[J14]**S. Sun, W.U. Bajwa, and A.P. Petropulu, “MIMO-MC radar: A MIMO radar approach based on matrix completion,”

*in review for IEEE Trans. Aerosp. Electron. Syst.*, Jul. 2013.

**[C49]**Z. Shakeri, H. Raja, and W.U. Bajwa, “Dictionary learning based nonlinear classifier training from distributed data,” to appear in

*Proc. 2nd IEEE Global Conf. Signal and Information Processing (GlobalSIP'14)*, Symposium on Network Theory, Atlanta, GA, Dec. 3-5, 2014.

**[C48]**T. Ahmed and W.U. Bajwa, “Geometric manifold approximation using union of tangent patches,” to appear in

*Proc. 2nd IEEE Global Conf. Signal and Information Processing (GlobalSIP'14)*, Symposium on Information Processing for Big Data, Atlanta, GA, Dec. 3-5, 2014.

**[C47]**M. Tavan, R.D. Yates, and W.U. Bajwa, “Information in tweets: Analysis of a bufferless timing channel model,” in

*Proc. IEEE Intl. Symp. Information Theory (ISIT'14)*, Honolulu, HI, Jun. 29-Jul. 4, 2014, pp. 826-830.

**[C46]**T. Ahmed and W.U. Bajwa, “A greedy, adaptive approach to learning geometry of nonlinear manifolds,” in

*Proc. IEEE Workshop Statistical Signal Processing (SSP'14)*, Gold Coast, Australia, Jun. 29-Jul. 2, 2014, pp. 133-136.

**[C45]**T. Wu and W.U. Bajwa, “Subspace detection in a kernel space: The missing data case,” in

*Proc. IEEE Workshop Statistical Signal Processing (SSP'14)*, Gold Coast, Australia, Jun. 29-Jul. 2, 2014, pp. 93-96.

**[C44]**T. Wu and W.U. Bajwa, “Revisiting robustness of the union-of-subspaces model for data-adaptive learning of nonlinear signal models,” in

*Proc. IEEE Intl. Conf. Acoustics, Speech, and Signal Processing (ICASSP'14)*, Florence, Italy, May 4-9, 2014, pp. 3390-3394.

**[C43]**W.U. Bajwa, M.F. Duarte, and R. Calderbank, “Average case analysis of high-dimensional block-sparse recovery and regression for arbitrary designs,” in

*Proc. 17th Intl. Conf. Artificial Intelligence and Statistics (AISTATS'14)*, Reykjavik, Iceland, Apr. 22–25, 2014, pp. 57-67 (

*).*

**Acceptance rate:**120/335[Back to Top]

## JOURNAL PAPERS

**[J13]**A. Armagan, D.B. Dunson, J. Lee, W.U. Bajwa, and N. Strawn, “Posterior consistency in linear models under shrinkage priors,”

*Biometrika*, vol. 100, no. 4, pp. 1011-1018, Dec. 2013.

**[J12]**K. Krishnamurthy, W.U. Bajwa, and R. Willett, “Level set estimation from projection measurements: Performance guarantees and fast computation,”

*SIAM J. Imaging Sciences*, vol. 6, no. 4, pp. 2047-2074, Oct. 2013.

**[J11]**M. Nokleby, W.U. Bajwa, R. Calderbank, and B. Aazhang, “Toward resource-optimal consensus over the wireless medium,”

*IEEE J. Select. Topics Signal Processing*, vol. 7, no. 2, pp. 284-295, Apr. 2013.

**[J10]**A. Harms, W.U. Bajwa, and R. Calderbank, “A constrained random demodulator for sub-Nyquist sampling,”

*IEEE Trans. Signal Processing*, vol. 61, no. 3, pp. 707-723, Feb. 2013.

**[J9]**W.U. Bajwa, R. Calderbank, and D.G. Mixon, “Two are better than one: Fundamental parameters of frame coherence,”

*Appl. Comput. Harmon. Anal.*, vol. 33, no. 1, pp. 58-78, Jul. 2012.

**[J8]**L. Applebaum, W.U. Bajwa, M.F. Duarte, and R. Calderbank, “Asynchronous code-division random access using convex optimization,”

*Elsevier Phy. Commun.*, vol. 5, no. 2, pp. 129-147, Jun. 2012.

**[J7]**W.U. Bajwa, K. Gedalyahu, and Y.C. Eldar, “Identification of parametric underspread linear systems and super-resolution radar,”

*IEEE Trans. Signal Processing*, vol. 59, no. 6, pp. 2548-2561, Jun. 2011.

**[J6]**J. Haupt, W.U. Bajwa, G. Raz, and R. Nowak, “Toeplitz compressed sensing matrices with applications to sparse channel estimation,”

*IEEE Trans. Inform. Theory*, vol. 56, no. 11, pp. 5862-5875, Nov. 2010.

**[J5]**W.U. Bajwa, R. Calderbank, and S. Jafarpour, “Why Gabor frames? Two fundamental measures of coherence and their role in model selection,”

*J. Commun. Netw.*, vol. 12, no. 4, pp. 289-307, Aug. 2010.

**[J4]**W.U. Bajwa, J. Haupt, A.M. Sayeed, and R. Nowak, “Compressed channel sensing: A new approach to estimating sparse multipath channels,”

*Proc. of the IEEE*, vol. 98, no. 6, pp. 1058-1076, Jun. 2010.

**[J3]**J. Haupt, W.U. Bajwa, M. Rabbat, and R. Nowak, “Compressed sensing and network monitoring,”

*The Next Wave*, vol. 18, no. 3, pp. 16-25, 2010.

**[J2]**J. Haupt, W.U. Bajwa, M. Rabbat, and R. Nowak, “Compressed sensing for networked data,”

*IEEE Signal Processing Mag.*, vol. 25, no. 2, pp. 92-101, Mar. 2008.

**[J1]**W.U. Bajwa, J. Haupt, A.M. Sayeed, and R. Nowak, “Joint source–channel communication for distributed estimation in sensor networks,”

*IEEE Trans. Inform. Theory*, vol. 53, no. 10, pp. 3629-3653, Oct. 2007.

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## CONFERENCE PAPERS

**[C42]**M. Tavan, R.D. Yates, and W.U. Bajwa, “Capacity analysis of a discrete-time bufferless timing channel,” in

*Proc. 48th Annu. Conf. Information Sciences and Systems (CISS'14)*, Princeton, NJ, Mar. 19-21, 2014, pp. 1-6.

**[C41]**A. Harms, W.U. Bajwa, and R. Calderbank, “Resource-efficient parametric recovery of linear time-varying systems,” in

*Proc. 5th Intl. Workshop Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP'13)*, Saint Martin, Dec. 15-18, 2013, pp. 200-203.

**[C40]**A. Harms, W.U. Bajwa, and R. Calderbank, “Shaping the power spectra of bipolar sequences with application to sub-Nyquist sampling,” in

*Proc. 5th Intl. Workshop Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP'13)*, Saint Martin, Dec. 15-18, 2013, pp. 236-239.

**[C39]**M. Nokleby and W.U. Bajwa, “Resource tradeoffs in distributed subspace tracking over the wireless medium,” in

*Proc. 1st IEEE Global Conf. Signal and Information Processing (GlobalSIP'13)*, Symposium on Network Theory, Austin, TX, Dec. 2013, pp. 823-826.

**[C38]**H. Raja and W.U. Bajwa, “Cloud K-SVD: Computing data-adaptive representations in the cloud,” in

*Proc. 51st Annu. Allerton Conf. Communication, Control, and Computing*, Monticello, IL, Oct. 2-4, 2013, pp. pp. 1474-1481.

**[C37]**M. Tavan, R.D. Yates, and W.U. Bajwa, “Bits through bufferless queues,” in

*Proc. 51st Annu. Allerton Conf. Communication, Control, and Computing*, Monticello, IL, Oct. 2-4, 2013, pp. 755-762.

**[C36]**S. Sun, A.P. Petropulu, and W.U. Bajwa, “High-resolution networked MIMO radar based on sub-Nyquist observations,” in

*Proc. Workshop Signal Processing with Adaptive Sparse Structured Representations (SPARS'13)*, Lausanne, Switzerland, July 8-11, 2013.

**[C35]**S. Sun, A.P. Petropulu, and W.U. Bajwa, “Target estimation in colocated MIMO radar via matrix completion,” in

*Proc. IEEE Intl. Conf. Acoustics, Speech, and Signal Processing (ICASSP'13)*, Vancouver, Canada, May 26-31, 2013, pp. 4144-4148.

**[C34]**M. Nokleby, W.U. Bajwa, R. Calderbank, and B. Aazhang, “Toward resource-optimal averaging consensus over the wireless medium,” in

*Proc. 46th Asilomar Conf. Signals, Systems, and Computers*, Pacific Grove, CA, Nov. 4-7, 2012, pp. 1197-1201.

**[C33]**A. Harms, W.U. Bajwa, and R. Calderbank, “Rapid sensing of underutilized, wideband spectrum using the random demodulator,” in

*Proc. 46th Asilomar Conf. Signals, Systems, and Computers*, Pacific Grove, CA, Nov. 4-7, 2012, pp. 1940-1944.

**[C32]**W.U. Bajwa and D.G. Mixon, “Group model selection using marginal correlations: The good, the bad and the ugly,” in

*Proc. 50th Annu. Allerton Conf. Communication, Control, and Computing*, Monticello, IL, Oct. 1-5, 2012, pp. 494-501.

**[C31]**W.U. Bajwa, “Geometry of random Toeplitz-block sensing matrices: Bounds and implications for sparse signal processing,” in

*Proc. SPIE Defense, Security, and Sensing Conf. Compressive Sensing*, Baltimore, MD, Apr. 23-27, 2012, pp. 1-7.

**[C30]**M. Nokleby, W.U. Bajwa, R. Calderbank, and B. Aazhang, “Hierarchical averaging over wireless networks,” in

*Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP'12)*, Kyoto, Japan, Mar. 25-30, 2012, pp. 3121-3124. [

**Erratum**].

**[C29]**A. Harms, W.U. Bajwa, and R. Calderbank, “Faster than Nyquist, slower than Tropp,” in

*Proc. 4th Intl. Workshop Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP'11)*, San Juan, Puerto Rico, Dec. 13-16, 2011, pp. 345-348.

**[C28]**M. Nokleby, W.U. Bajwa, R. Calderbank, and B. Aazhang, “Gossiping in groups: Distributed averaging over the wireless medium,” in

*Proc. 49th Annu. Allerton Conf. Communication, Control, and Computing*, Monticello, IL, Sep. 28-30, 2011, pp. 1242-1249.

**[C27]**L. Applebaum, W.U. Bajwa, R. Calderbank, and S. Howard, “Choir codes: Coding for full duplex interference management,” in

*Proc. 49th Annu. Allerton Conf. Communication, Control, and Computing*, Monticello, IL, Sep. 28-30, 2011, pp. 1-8.

**[C26]**D.G. Mixon, W.U. Bajwa, and R. Calderbank, “Frame coherence and sparse signal processing,” in

*Proc. IEEE Int. Symp. Information Theory (ISIT'11)*, Saint-Petersburg, Russia, Jul. 31-Aug. 5, 2011, pp. 663-667.

**[C25]**L. Applebaum, W.U. Bajwa, R. Calderbank, J. Haupt, and R. Nowak, “Deterministic pilot sequences for sparse channel estimation in OFDM systems,” in

*Proc. 17th Int. Conf. Digital Signal Processing (DSP'11)*, Corfu, Greece, Jul. 6-8, 2011.

**[C24]**K. Krishnamurthy, W.U. Bajwa, R. Willett, and R. Calderbank, “Fast level set estimation from projection measurements,” in

*Proc. IEEE Workshop Statistical Signal Processing (SSP'11)*, Nice, France, Jun. 28-30, 2011, pp. 585-588.

**[C23]**M.F. Duarte, W.U. Bajwa, and R. Calderbank, “Regression performance of group lasso for arbitrary design matrices,” in

*Proc. Int. Conf. Sampling Theory and Applications (SampTA'11)*, Singapore, May 2-6, 2011.

**[C22]**A. Harms, W.U. Bajwa, and R. Calderbank, “Beating Nyquist through correlations: A constrained random demodulator for sampling of sparse bandlimited signals,” in

*Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP'11)*, Prague, Czech Republic, May 22-27, 2011, pp. 5968-5971.

**[C21]**W.U. Bajwa, K. Gedalyahu, and Y.C. Eldar, “On the identification of parametric underspread linear systems,” in

*Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP'11)*, Prague, Czech Republic, May 22-27, 2011, pp. 4088-4091.

**[C20]**L. Balzano, R. Nowak, and W.U. Bajwa, “Column subset selection with missing data,” in

*Proc. NIPS Workshop on Low-rank Methods for Large-scale Machine Learning*, Whistler, Canada, Dec. 11, 2010.

**[C19]**W.U. Bajwa, R. Calderbank, and S. Jafarpour, “Revisiting model selection and recovery of sparse signals using one-step thresholding,” in

*Proc. 48th Annu. Allerton Conf. Communication, Control, and Computing*, Monticello, IL, Sep. 29-Oct. 01, 2010, pp. 977-984.

**[C18]**L. Applebaum, W.U. Bajwa, M.F. Duarte, and R. Calderbank, “Multiuser detection in asynchronous on–off random access channels using lasso,” in

*Proc. 48th Annu. Allerton Conf. Communication, Control, and Computing*, Monticello, IL, Sep. 29-Oct. 01, 2010, pp. 130-137.

**[C17]**W.U. Bajwa, R. Calderbank, and S. Jafarpour, “Model selection: Two fundamental measures of coherence and their algorithmic significance,” in

*Proc. IEEE Int. Symp. Information Theory (ISIT'10)*, Austin, TX, Jun. 13-18, 2010, pp. 1568-1572.

**[C16]**W.U. Bajwa, A.M. Sayeed, and R. Nowak, “A restricted isometry property for structurally-subsampled unitary matrices,” in

*Proc. 47th Annu. Allerton Conf. Communication, Control, and Computing*, Monticello, IL, Sep. 30-Oct. 02, 2009, pp. 1005-1012.

**[C15]**W.U. Bajwa, A.M. Sayeed, and R. Nowak, “Sparse multipath channels: Modeling and estimation,” in

*Proc. 13th IEEE Digital Signal Processing Workshop*, Marco Island, FL, Jan. 4-7, 2009, pp. 320-325.

**[C14]**W.U. Bajwa, A.M. Sayeed, and R. Nowak, “Compressed sensing of wireless channels in time, frequency, and space,” in

*Proc. 42nd Asilomar Conf. Signals, Systems, and Computers*, Pacific Grove, CA, Oct. 26-29, 2008, pp. 2048-2052. [

**Errata**].

**[C13]**W.U. Bajwa, A.M. Sayeed, and R. Nowak, “Learning sparse doubly-selective channels,” in

*Proc. 46th Annu. Allerton Conf. Communication, Control, and Computing*, Monticello, IL, Sep. 23-26, 2008, pp. 575-582. (

*UW-Madison Tech. Report ECE-08-02, Jun. 2008)*

**Extended Version:****[C12]**W.U. Bajwa, J. Haupt, G. Raz, and R. Nowak, “Compressed channel sensing,” in

*Proc. 42nd Annu. Conf. Information Sciences and Systems (CISS'08)*, Princeton, NJ, Mar. 19-21, 2008, pp. 5-10.

**[C11]**J.D. Wierer, W.U. Bajwa, N. Boston, and R. Nowak, “Characterizing decoding robustness under parametric channel uncertainty,” in

*Proc. 45th Annu. Allerton Conf. Communication, Control, and Computing*, Monticello, IL, Sep. 26-28, 2007, pp. 935-939.

**[C10]**W.U. Bajwa, J. Haupt, G. Raz, S.J. Wright, and R. Nowak, “Toeplitz-structured compressed sensing matrices,” in

*Proc. 14th IEEE/SP Workshop Statistical Signal Processing (SSP'07)*, Madison, WI, Aug. 26-29, 2007, pp. 294-298 (

*).*

**Acceptance rate:**185/262**[C9]**W.U. Bajwa, J. Haupt, A.M. Sayeed, and R. Nowak, “A universal matched source-channel communication scheme for wireless sensor ensembles,” in

*Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP'06)*, Toulouse, France, May 14-19, 2006, vol. 5, pp. 1153-1156.

**[C8]**W.U. Bajwa, J. Haupt, A.M. Sayeed, and R. Nowak, “Compressive wireless sensing,” in

*Proc. 5th Int. Conf. Information Processing in Sensor Networks (IPSN'06)*, Nashville, TN, Apr. 19-21, 2006, pp. 134-142 (

*).*

**Acceptance rate:**41/165**[C7]**W.U. Bajwa, A.M. Sayeed, and R. Nowak, “Matched source-channel communication for field estimation in wireless sensor networks,” in

*Proc. 4th Int. Conf. Information Processing in Sensor Networks (IPSN'05)*, Los Angeles, CA, Apr. 25-27, 2005, pp. 332-339 (

*).*

**Acceptance rate:**44/213**[C6]**W.U. Bajwa, A.M. Sayeed, and R. Nowak, “Efficient communication strategies for distributed signal field estimation,” in

*Proc. 38th Asilomar Conf. Signals, Systems, and Computers*, Pacific Grove, CA, Nov. 7-10, 2004, pp. 1371-1375.

**[C5]**W.U. Bajwa, S.A. Ahmed, A. Abbas, S. Zulfiqar, and A. Qayyum, “Mobile IP based mobility management for 3G wireless networks,” in

*Proc. Int. Symp. Wireless Systems and Networks (ISWSN'03)*, Dhahran, Saudi Arabia, Mar. 24-26, 2003.

**[C4]**W.U. Bajwa, S.A. Ahmed, A. Abbas, and H.A. Qadeer, “A novel design of a generational garbage collector,” in

*Proc. IEEE Students Conf. (ISCON'02)*, Lahore, Pakistan, Aug. 16-17, 2002, vol. 1, pp. 85-88.

**[C3]**W.U. Bajwa, S.A. Ahmed, A. Abbas, and H.A. Qadeer, “Modeling of processor delay and overall reduction in network latencies for real time, interactive applications,” in

*Proc. IEEE Students Conf. (ISCON'02)*, Lahore, Pakistan, Aug. 16-17, 2002, vol. 1, pp. 76-79.

**[C2]**A. Abbas, A. Ahmed, S.A. Ahmed, W.U. Bajwa, A. Anwar, and S. Abbasi, “A retargetable tool-suite for the design of application specific instruction set processors using a machine description language,” in

*Proc. IEEE Int. Symp. Circuits and Systems (ISCAS'02)*, Scottsdale, AZ, May 26-29, 2002, vol. 1, pp. 425-428.

**[C1]**W.U. Bajwa, H.A. Qadeer, and M. Farooq, “Object-oriented design of a cycle accurate re-configurable simulator toolkit for DSP processors,” in

*Proc. IEEE Int. Multi-Topic Conf. (INMIC'01)*, Lahore, Pakistan, Dec. 28-30, 2001, pp. 10-15.

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## TECHNICAL REPORTS & THESES

**[T5]**M.F. Duarte, W.U. Bajwa, and R. Calderbank, “The performance of group lasso for linear regression of grouped variables,” Technical Report TR-2010-10, Department of Computer Science, Duke University, Durham, NC, Feb. 2011.

**[T4]**W.U. Bajwa, R. Calderbank, and M.F. Duarte, “On the conditioning of random block subdictionaries,” Technical Report TR-2010-06, Department of Computer Science, Duke University, Durham, NC, Sep. 2010.

**[T3]**W.U. Bajwa, “New information processing theory and methods for exploiting sparsity in wireless systems,” Ph.D. Dissertation, University of Wisconsin-Madison, Madison, WI, 2009.

**[T2]**W.U. Bajwa, A.M. Sayeed, and R. Nowak, “Learning sparse doubly-selective channels,” Technical Report ECE-08-02, University of Wisconsin-Madison, Madison, WI, Jun. 2008.

**[T1]**W.U. Bajwa, “Joint source–channel communication for distributed estimation in wireless sensor networks,” M.S. Thesis, University of Wisconsin-Madison, Madison, WI, 2005.

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## COPYRIGHT NOTICE

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

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