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
  
• Javier Hormigo, Julio Villalba, Emilio L. Zapata:
  CORDIC Processor for Variable-Precision Interval Arithmetic. 21-39
  
• Hyunok Oh, Soonhoi Ha:
  Fractional Rate Dataflow Model for Efficient Code Synthesis. 41-51
  
• 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
  
• 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
  
• Özgün Paker, Jens Sparsø, Niels Haandbæk, Mogens Isager, Lars Skovby Nielsen:
  A Low-Power Heterogeneous Multiprocessor Architecture for Audio Signal Processing. 95-110
  
• Wael M. Badawy, Magdy Bayoumi:
  A Low Power Architecture for HASM Motion Tracking. 111-127
  
• Amisha Parikh, Soontae Kim, Mahmut T. Kandemir, Narayanan Vijaykrishnan, Mary Jane Irwin:
  Instruction Scheduling for Low Power. 129-149
  
• 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

• David J. Miller, Tülay Adali, Jan Larsen, Marc M. Van Hulle:
  Guest Editorial for Special Issue on Machine Learning for Signal Processing. 171-175
  
• 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
  
• 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
  
• Rujirutana Srikanchana, Jianhua Xuan, Matthew T. Freedman, Charles C. Nguyen, Yue Wang:
  Non-Rigid Image Registration by Neural Computation. 237-246
  
• 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
  
• Hichem Snoussi, Ali Mohammad-Djafari:
  Bayesian Unsupervised Learning for Source Separation with Mixture of Gaussians Prior. 263-279
  
• Vince D. Calhoun, Godfrey D. Pearlson, Tülay Adali:
  Independent Component Analysis Applied to fMRI Data: A Generative Model for Validating Results. 281-291
  
• 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
  
• 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