PROJECT TITLE :

Identifying Multiple Reflections in Distributed-Lumped High-Frequency Structures

ABSTRACT:

A technique for precise identification of reflections in mixed distributed-lumped high-frequency structures is proposed. The system structure that may be described by this model class may be a cascade of transmission lines tapped by lumped components. Here, multiple reflections are allowed to occur and they are identified. Reflections can be closely spaced and there's no restriction imposed by the model on the magnitude of the reflections. Note that the majority models in the literature are restricted to reflections with tiny magnitudes. Using a finite total of delayed damped advanced exponentials (Cisoids) to achieve the initial delay values and modeling each reflection with a rational model allows to identify reflections with high values of magnitude. When applied on a measurement example, the method identifies all the reflections that are gift, whereas the order of the model remains moderately low.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Identifying User Relationship on WeChat Money-Gifting Network ABSTRACT: The identification or classification of real-life relationships between users has become very useful for many applications as a result of
PROJECT TITLE : Investigation of Remote Sensing Imageries for Identifying Soil Texture Classes Using Classification Methods ABSTRACT: In this paper, classification trees were used to assess the utility of remote sensing imageries
PROJECT TITLE :Identifying Absorbing Aerosols Above Clouds From the Spinning Enhanced Visible and Infrared Imager Coupled With NASA A-Train Multiple SensorsABSTRACT:Geostationary satellite knowledge from the Spinning Enhanced
PROJECT TITLE :An Efficient and Robust Method for Automatically Identifying the Left Ventricular Boundary in Cine Magnetic Resonance ImagesABSTRACT:Economical and strong identification of the left ventricular borders remains a
PROJECT TITLE :Human-Machine CRFs for Identifying Bottlenecks in Scene UnderstandingABSTRACT:Recent trends in image understanding have pushed for scene understanding models that jointly reason regarding varied tasks such as object

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry