This work designs and implements a virtual digital signal processing laboratory, VDSPL. VDSPL consists of four parts: mobile agent execution environments, mobile agents, DSP development software, and DSP experimental platforms. The network capability of VDSPL is created by using mobile agent and wrapper techniques without modifying the source code of the original programs. VDSPL provides human-...

Digital logic integrated circuits are advancing toward ever higher speeds of operation. Clock frequencies already exceed 1 GHz in some Si CMOS-based consumer products, and even higher speeds are attainable in specialized technologies, such as those based on GaAs, InP, and SiGe bipolar and field-effect transistors. Digital approaches may be used to carry out a variety of functions important in m...

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...

Data acquisition (DAQ) is an important component in many fields. It typically involves the sampling of multiple analog signals, and converting them into digital formats so that they can be processed. DAQ systems also involve microprocessors, microcontrollers, digital signal processing, and/or storage devices. Many multi-channel DAQs, which utilize some sort of processing for simultaneous input ...

Thanks to the digital revolution, digital signal processing and control has been widely used in many areas of science and engineering today. It provides practical and powerful tools to model, simulate, analyze, design, measure, and control complex and dynamic systems such as robots and aircrafts. Gene networks are also complex dynamic systems which can be studied via digital signal processing a...

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...

In this paper, we describe the design of digital signal processing components for a fully-implantable, wireless neural recording system. The digital signal processing is intended to extract neural signals from a noisy background and thereby enable more efficient use of transmission bandwidth. Low power consumption is critical to the system. To this end, the algorithms for the digital signal pro...

There has been a tremendous growth for the past few years in the field of VLSI and real time signal processing. Number of signal processing algorithms have been developed which allow the user to process real time signals such as speech to accomplish the signal with desired quality. Development of CMOS technology provides wide selection of low power FPGAs to be used in Digital system design. Thi...

Digital signal processing is being increasingly used for audio processing applications. Digital audio effects refer to all those algorithms that are used for enhancing sound in any of the steps of a processing chain of music production. Real time audio effects generation is a highly challenging task in the field of signal processing. Now a day, almost every high end multimedia audio device does...