In this paper we propose a multi-set modulation technique to increase the hiding capacity within a binary document image. As part of this technique we propose an Automatic Threshold Calculation and Threshold Buffering, Shifted Space Distribution and Letter Space Compensation technique. The Automatic Threshold Calculation is used to distinguish word spaces from letter spaces. The Threshold Buffe...

Automatic modulation classification (AMC), which aims to blindly identify the type of an incoming signal at receiver in wireless communication systems, is a fundamental processing technique physical layer improve spectrum utilization efficiency. Motivated by deep learning (DL) high-impact success many informatics domains, including radio for communications, numerous recent AMC methods exploitin...

For several reasons, modulation recognition is extremely important in communication intelligence (COMINT). In this paper, a global procedure for recognition of analogue modulation types is developed. Computer simulations for different types of band-limited analogue modulated signals corrupted by band-limited Gaussian noise have been carried out. Expressions for the instantaneous amplitude and p...

Diabetic retinopathy (DR) is one of the leading causes of blindness among adult Americans. Automatic methods for detection of the disease have been developed in recent years, most of them depending on segmentation of bright and red lesions. In this paper we present an automatic DR screening system that does not require segmentation of features and it is only based on textural features obtained ...

The automatic recognition of the modulation format of a detected signal, the intermediate step between signal detection and demodulation, is a major task of an intelligent receiver, with various civilian and military applications. Obviously, with no knowledge of the transmitted data and many unknown parameters at the receiver, such as the signal power, carrier frequency and phase offsets, timin...