Embedding Multiclass Data Hiding in Compressed Sensing

[1]  Tara N. Sainath,et al.  Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups , 2012, IEEE Signal Processing Magazine.

[2]  Michael P. Friedlander,et al.  Probing the Pareto Frontier for Basis Pursuit Solutions , 2008, SIAM J. Sci. Comput..

[3]  Manuel Blum,et al.  A Simple Unpredictable Pseudo-Random Number Generator , 1986, SIAM J. Comput..

[4]  Richard G. Baraniuk,et al.  Kronecker Compressive Sensing , 2012, IEEE Transactions on Image Processing.

[5]  Paolo Toth,et al.  Knapsack Problems: Algorithms and Computer Implementations , 1990 .

[6]  Emmanuel J. Candès,et al.  Decoding by linear programming , 2005, IEEE Transactions on Information Theory.

[7]  E. Candès,et al.  Stable signal recovery from incomplete and inaccurate measurements , 2005, math/0503066.

[8]  E. Candès.  The restricted isometry property and its implications for compressed sensing , 2008 .

[9]  Patrick Billingsley,et al.  Probability and Measure. , 1986 .

[10]  E.J. Candes,et al.  An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.

[11]  Emmanuel J. Candès,et al.  Exact Matrix Completion via Convex Optimization , 2009, Found. Comput. Math..

[12]  E. Candès,et al.  Sparsity and incoherence in compressive sampling , 2006, math/0611957.

[13]  Andrew Odlyzko,et al.  The Rise and Fall of Knapsack Cryptosystems , 1998 .

[14]  Thomas Strohmer,et al.  General Deviants: An Analysis of Perturbations in Compressed Sensing , 2009, IEEE Journal of Selected Topics in Signal Processing.

[15]  Claude E. Shannon,et al.  Communication theory of secrecy systems , 1949, Bell Syst. Tech. J..

[16]  David L Donoho,et al.  Compressed sensing , 2006, IEEE Transactions on Information Theory.

[17]  Vincent Rijmen,et al.  The Design of Rijndael: AES - The Advanced Encryption Standard , 2002 .

[18]  S. Mallat.  A wavelet tour of signal processing , 1998 .

[19]  Kwok-Wo Wong,et al.  A two-class information concealing system based on compressed sensing , 2013, 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013).

[20]  G. Sharma,et al.  On the security and robustness of encryption via compressed sensing , 2008, MILCOM 2008 - 2008 IEEE Military Communications Conference.

[21]  E. Fischer.  Über quadratische Formen mit reellen Koeffizienten , 1905 .

[22]  Magda Peligrad,et al.  CENTRAL LIMIT THEOREM FOR LINEAR PROCESSES , 1997 .

[23]  Ting Sun,et al.  Single-pixel imaging via compressive sampling , 2008, IEEE Signal Process. Mag..

[24]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[25]  A. C. Berry.  The accuracy of the Gaussian approximation to the sum of independent variates , 1941 .

[26]  R. Jane,et al.  Evaluation of an automatic threshold based detector of waveform limits in Holter ECG with the QT database , 1997, Computers in Cardiology 1997.

[27]  Jeffrey M. Hausdorff,et al.  Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .

[28]  Martin E. Hellman,et al.  Hiding information and signatures in trapdoor knapsacks , 1978, IEEE Trans. Inf. Theory.

[29]  Mariko Hagita,et al.  Cryptographic Mersenne Twister and Fubuki Stream/block Cipher , 2005, IACR Cryptol. ePrint Arch..

[30]  Meng Zhang,et al.  Energy-efficient and Secure Sensor Data Transmission Using Encompression , 2013, 2013 26th International Conference on VLSI Design and 2013 12th International Conference on Embedded Systems.

[31]  D. Donoho,et al.  Counting faces of randomly-projected polytopes when the projection radically lowers dimension , 2006, math/0607364.

[32]  Yong Wang,et al.  A survey of security issues in wireless sensor networks , 2006, IEEE Communications Surveys & Tutorials.

[33]  Franz Pernkopf,et al.  A Pitch Tracking Corpus with Evaluation on Multipitch Tracking Scenario , 2011, INTERSPEECH.

[34]  Y. Rachlin,et al.  The secrecy of compressed sensing measurements , 2008, 2008 46th Annual Allerton Conference on Communication, Control, and Computing.

[35]  S. Geman.  A Limit Theorem for the Norm of Random Matrices , 1980 .

[36]  M. Vetterli,et al.  Sensing reality and communicating bits: a dangerous liaison , 2006, IEEE Signal Processing Magazine.

[37]  S. Sodin,et al.  Variations on the Berry-Esseen theorem , 2010, 1002.3970.

[38]  Kari Karhunen,et al.  Über lineare Methoden in der Wahrscheinlichkeitsrechnung , 1947 .

[39]  H. Nishimori,et al.  Statistical Mechanics of an NP-complete Problem: Subset Sum , 2001 .

[40]  Riccardo Rovatti,et al.  A Pragmatic Look at Some Compressive Sensing Architectures With Saturation and Quantization , 2012, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

[41]  Justin K. Romberg,et al.  Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals , 2009, IEEE Transactions on Information Theory.

[42]  Ray Smith.  An Overview of the Tesseract OCR Engine , 2007 .

[43]  Emmanuel J. Candès,et al.  Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? , 2004, IEEE Transactions on Information Theory.