Advancing Ultrahigh-Frequency RFID Through Digital Signal Processing [From the Guest Editors' Desk]

Signal Processing for the 5G Revolution [From the Guest Editors]

C ellular communication systems are continuing to incorporate advanced signal processing techniques. Third-generation cellular systems are already widely deployed and are being followed by fourth-generation (4G) systems. Since 4G cellular technology development is considered to have concluded in 2011, the attention of the research community is shifting toward what will be the next set of innova...

Signal Processing for Art Investigation [From the Guest Editors]

hy should signal processors care about problems in cultural heritage? What can signal processing offer to the world of art scholarship and preservation? These complementary questions have motivated recent movement in our two communities—one composed of signal processors and art experts in the other— to collaborate and try to focus the signal processing technologies on underresolved problems of ...

Musings from the Editors' Desk

Guest Editors' Introduction: Neural Networks For Signal Processing

P ROGRESS in the theory and design of neural networks has expanded on many fronts during the past ten years. Much of that progress has a direct bearing on signal processing. In particular, the nonlinear nature of a neuron that constitutes the basic building block of neural networks—the ability of neural networks to learn from their environments in supervised as well as unsupervised ways and the...

From the Guest Editor's Desk.

Treatment of Myelodysplastic Syndromes Selection of the treatment plan for a patient with myelodysplastic syndromes (MDS) depends upon the prognosis for the disease course. Currently, the best approach for assessing prognosis is to utilize the International Prognostic Scoring System (IPSS). The IPSS incorporates the results from three types of analyses—the levels of blood counts, the percent of...