IEEE SIGNAL PROCESSING MAGAZINE MARCH 1999 This article celebrates and highlights 50 years of signal processing technology as it has been applied to communications systems. It also looks forward to some of the numerous opportunities this exciting area opens up for signal processing research and development. This comes at a time when we witness a dramatic upswing in modern telecommunications wor...

Recent technological advances in medicine have facilitated the evelopment of complex biomedical systems including sophistiated biomedical signal devices and instruments, medical imaging quipment, and computer-aided diagnosis (CAD) tools enabling he better delivery of healthcare services. These systems are based n advanced biomedical signal and medical imaging processing nd analysis techniques t...

The implementation of DSP (Digital Signal Processing) to the television, CCTV, medical, industrial and other cameras caused the numerous benefits to the camera picture processing. Even though the camera CCD (Charge Coupled Device) block is basically an analog device and a part of video signal processing is still performed in the analog domain the A/D converter at the CCD output transforms video...

Source separation arises in a variety of signal processing applications, ranging from speech processing to medical image analysis. The separation of a superposition of multiple signals is accomplished by taking into account the structure of the mixing process and by making assumptions about the sources. When the information about the mixing process and sources is limited, the problem is called ...

Tensors and tensor fields are commonly used in multidimensional signal processing to represent the local structure of the signal. This paper focuses on the case where the sampling on the original signal is anisotropic, e.g when the resolution of the multidimensional image varies depending on the direction which is common e.g. in medical imaging devices. To obtain a geometrically correct descrip...

This paper presents design and implementation of three new Infrared Counter-Countermeasure (IRCCM) efficient methods using Neural Network (NN), Fuzzy System (FS), and Kalman Filter (KF). The proposed algorithms estimate tracking error or correction signal when jamming occurs. An experimental test setup is designed and implemented for performance evaluation of the proposed methods. The methods v...