Automatic classification of digital signal types is extremely important in communication intelligence. In this paper, we present a highly efficient digital signal type classifier for fading environments. In the proposed method, an equalizer is used to reduce the channel effects. Selected combination of the fourth, the sixth and the eighth order of moments and cumulants of the received signal ar...

Digital signal processors with Harvard architecture are being gradually replaced by digital signal processors with VLIW (Very Long Instruction Word) architecture for high-end applications. Owing to exploiting the principles of parallel instruction processing and parallel data processing, the new architecture provides the calculation power to implement complex algorithms of digital signal proces...

Electronic systems deal with signals that have a frequency spectrum with a wide range of frequency components. These frequency components require filter functions that may include isolation, rejection or attenuation depending on system implementation. Digital filters are systems that modify certain frequencies relative to others either by a digital computational process or by implementation of ...

We describe a digital signal processing method for high precision frequency evaluation of approximately sinusoidal signals based on a computationally efficient method. We demonstrate frequency measurement enabling sensitive measurement of the oscillatory force exerted on a micromechanical cantilever. We apply this technique to detection of the force signal arising in a micromechanically detecte...

genomic signal processing is a relatively new field in bioinformatics, in which signal processing algorithms and methods are used to study functional structures in the dna. an appropriate mapping of the dna sequence into one or more numerical sequences enables the use of many digital signal processing tools in the analysis of different genomic sequences. also, a novel influenza a (h1n1) virus o...

A microcomputer-based simulator for digital control systems is proposed. The proposed simulator is a hybrid system in which the plant is simulated by conventional method of analog computers and other parts of the system including generation of input signal is performed digitally, using a Z-80 based microcomputer. To overcome the difficulty of programming in assembly language, and at the same ti...

Substrate noise generated by digital circuits on mixed-signal ICs can disturb the sensitiveanalog/RF circuits, such as Low Noise Amplifier (LNA), sharing the same substrate. This paperinvestigates the adverse impact of the substrate noise on a high frequency cascode LNA laid out on alightly doped substrate. By studying the major noise coupling mechanisms, a new and efficientmodeling method is p...

This work reports a digital signal processing approach to representing and modeling transmission and combination of signals in cortical networks. The signal dynamics is modeled in terms of diffusion, which allows the information processing undergone between any pair of nodes to be fully characterized in terms of a finite impulse response (FIR) filter. Diffusion without and with time decay are i...