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ORCIDThe 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 P. 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 A. 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 - Ángel 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 Joseph Wang:
Non-Rigid Image Registration by Neural Computation. 237-246 - 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 - 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, Chi Hau Chen:
Independent Component Analysis by Using Joint Cumulants and its Application to Remote Sensing Images. 293-303 - Deniz Erdogmus, José C. Príncipe:
Lower and Upper Bounds for Misclassification Probability Based on Renyi's Information. 305-317 - David Luengo, Carlos Pantaleón, Ignacio Santamaría, Luis Vielva, Jesús Ibáñez:
Multiple Composite Hypothesis Testing: A Competitive Approach. 319-331 - Yadunandana N. Rao, José C. Príncipe, Tan F. Wong:
Fast RLS-Like Algorithm for Generalized Eigendecomposition and its Applications. 333-344
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