The Journal of VLSI Signal Processing, Volume 37

Volume 37, Number 1, May 2004

• Rashindra Manniesing, Richard P. Kleihorst, André van der Avoird, Emile A. Hendriks:
  Power Analysis of a General Convolution Algorithm Mapped on a Linear Processor Array. 5-19
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• Javier Hormigo, Julio Villalba, Emilio L. Zapata:
  CORDIC Processor for Variable-Precision Interval Arithmetic. 21-39
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• Hyunok Oh, Soonhoi Ha:
  Fractional Rate Dataflow Model for Efficient Code Synthesis. 41-51
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• Kostas Masselos, Francky Catthoor, Constantinos E. Goutis, Hugo De Man:
  Combined Application of Data Transfer and Storage Optimizing Transformations and Subword Parallelism Exploitation for Power Consumption and Execution Time Reduction in VLIW Multimedia Processors. 53-73
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• Asim Smailagic:
  Introduction: Special Section on System Level Design. 75-76
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• Eugene Shih, Seong-Hwan Cho, Fred S. Lee, Benton H. Calhoun, Anantha Chandrakasan:
  Design Considerations for Energy-Efficient Radios in Wireless Microsensor Networks. 77-94
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• Özgün Paker, Jens Sparsø, Niels Haandbæk, Mogens Isager, Lars Skovby Nielsen:
  A Low-Power Heterogeneous Multiprocessor Architecture for Audio Signal Processing. 95-110
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• Wael M. Badawy, Magdy Bayoumi:
  A Low Power Architecture for HASM Motion Tracking. 111-127
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• Amisha Parikh, Soontae Kim, Mahmut T. Kandemir, Narayanan Vijaykrishnan, Mary Jane Irwin:
  Instruction Scheduling for Low Power. 129-149
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• Stelian Alupoaei, Srinivas Katkoori:
  Net Clustering Based Constructive and Iterative Improvement Approaches for Macro-Cell Placement. 151-163
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Volume 37, Numbers 2-3, June 2004

• David J. Miller, Tülay Adali, Jan Larsen, Marc M. Van Hulle:
  Guest Editorial for Special Issue on Machine Learning for Signal Processing. 171-175
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• Samuel Kaski, Janne Sinkkonen:
  Principle of Learning Metrics for Exploratory Data Analysis. 177-188
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• Naonori Ueda, Masashi Inoue:
  Extended Tied-Mixture HMMs for Both Labeled and Unlabeled Time Series Data. 189-197
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• John Browning, David J. Miller:
  A Maximum Entropy Approach for Collaborative Filtering. 199-209
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• Marc M. Van Hulle, Temujin Gautama:
  Optimal Smoothing of Kernel-Based Topographic Maps with Application to Density-Based Clustering of Shapes. 211-222
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• Angel Navia-Vázquez, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal:
  Advantages of Unbiased Support Vector Classifiers for Data Mining Applications. 223-235
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• Rujirutana Srikanchana, Jianhua Xuan, Matthew T. Freedman, Charles C. Nguyen, Yue Wang:
  Non-Rigid Image Registration by Neural Computation. 237-246
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• Scott C. Douglas, Shun-ichi Amari, S.-Y. Kung:
  Gradient Adaptive Paraunitary Filter Banks for Spatio-Temporal Subspace Analysis and Multichannel Blind Deconvolution. 247-261
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• Hichem Snoussi, Ali Mohammad-Djafari:
  Bayesian Unsupervised Learning for Source Separation with Mixture of Gaussians Prior. 263-279
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• Vince D. Calhoun, Godfrey D. Pearlson, Tülay Adali:
  Independent Component Analysis Applied to fMRI Data: A Generative Model for Validating Results. 281-291
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• Xiaohui Zhang, C. H. Chen:
  Independent Component Analysis by Using Joint Cumulants and its Application to Remote Sensing Images. 293-303
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• Deniz Erdogmus, Jose C. Principe:
  Lower and Upper Bounds for Misclassification Probability Based on Renyi's Information. 305-317
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• David Luengo, Carlos Ramon Pantaleon Dionisio, Ignacio Santamaría, Luis Vielva, Jesús Ibáñez:
  Multiple Composite Hypothesis Testing: A Competitive Approach. 319-331
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• Yadunandana N. Rao, Jose C. Principe, Tan F. Wong:
  Fast RLS-Like Algorithm for Generalized Eigendecomposition and its Applications. 333-344
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