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 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, 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
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