Glitches appear in digital-to-analog converters and lead to significant limitations of conversion accuracy and speed, which is critical for DAC and limits their usage, especially in the direct digital synthesis systems. This paper researches the causes, the specificity of the appearance of glitches in DAC and the possibility of using weight redundancy in order to reduce glitches in DAC. There had been suggested and analyzed the mathematical model of glitches in DAC with weight redundancy. There had also been proved that glitch amplitude is significantly influenced by the value of the voltage control of the DAC and the parasitic capacities of the digital keys. There had been shown that the attenuation time (duration) of the glitch is significantly influenced by the value of load resistance. The paper shows the expediency of using the DAC based on redundant positional number systems including Fibonacci p-codes. The simulation results prove that with the increase of the parameter p, the characteristics of glitch are significantly improved in comparison with the classical binary system, namely the amplitude and the attenuation time of glitch decrease.
During this investigation, Traveling Salesman Problem or TSP is applied in a Wireless Sensor Network (WSN), through a free simulator named Castalia and programming codes on JAVA and GNU/Linux Scripting in order to implement two methods for solving the TSP. First method, consist of Minimum Spanning Tree (MST) with the 2-opt algorithm and the second one is Branch and Bound (B&B) method related to the Held-Karp lower bound. Likewise, the Prim, Boruvka and Kruskal algorithms will be compared in order to determine, which of them solves the MST problem in less time, through the simulator which defines two scenarios for three models of motas: TelosB, Imote2, and Zolertia. Finally, some parameters will be also compared, such as throughput and energy consumption for each scenario, node model and solving method of the TSP, and conclude what is the best method that could be applied to a WSN.
Optoelectronic neuronal element on the n-type c-negatron is researched in paper. the offered neuron executes the main functions of neuron, such as spatial and temporal integration of optical (current) signals and has a threshold function of activating. theoretical basis of neuronal elements construction on the c-negatrons and computer simulations results of the neuron on the n-type c-negatron are shown in paper. advantages of the offered neuron element are schematic and technological simplicity, high speed, possibility of signal voltage amplification, low power consumption.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.