Volume 37, Number 1, May 2004

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  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
• 
  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

Volume 37, Numbers 2-3, June 2004

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  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
• 
  Naonori Ueda, Masashi Inoue: Extended Tied-Mixture HMMs for Both Labeled and Unlabeled Time Series Data. 189-197
• 
  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
• 
  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 Joseph Wang: Non-Rigid Image Registration by Neural Computation. 237-246
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  Scott C. Douglas, Shun-ichi Amari, Sun-Yuan 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
• 
  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
• 
  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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