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Design of Wideband Microstrip Bandpass Filter for S-Band Application
"... This paper describes the design of wideband parallel coupled microstrip bandpass filter (BPF) for S-Band application. S-Band is the range of frequency from 2 GHz to 4 GHz which is a part of microwave system and a partly combination between Ultra High Frequency (UHF) and Super High Frequency (SHF) w ..."
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This paper describes the design of wideband parallel coupled microstrip bandpass filter (BPF) for S-Band application. S-Band is the range of frequency from 2 GHz to 4 GHz which is a part of microwave system and a partly combination between Ultra High Frequency (UHF) and Super High Frequency (SHF
Design of UWB Bandpass Filter using Ground Plane Aperture
"... Abstract- A novel ultra wideband band (UWB) bandpass filter is developed using ground plane aperture technique for enhancement of the capacitive coupling in the parallelcoupled microstrip line (PCML). The PCML with two external lines is characterized by an equivalent J-inverter network with its susc ..."
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Abstract- A novel ultra wideband band (UWB) bandpass filter is developed using ground plane aperture technique for enhancement of the capacitive coupling in the parallelcoupled microstrip line (PCML). The PCML with two external lines is characterized by an equivalent J-inverter network with its
DESIGN OF BANDPASS FILTERS FOR UWB WIRELESS SYSTEMS
"... Ultra-wideband (UWB) wireless technology has recently gained a renewed stimulus and wider attention due to the release of unlicensed spectrum by Federal Communications Committee (FCC) of USA in the 3.1~10.6 GHz band for short range communications. It is becoming evident that UWB systems will play a ..."
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that cover the whole UWB band forms an important part of any UWB wireless communication system. Microstrip parallel coupled line filters are known to be low-cost wideband filters, but they usually require very tight coupling gaps and high fabrication tolerances. Aperture compensation technique was also
1Sub-Nyquist Sampling: Bridging Theory and Practice
"... [ A review of past and recent strategies for sub-Nyquist sampling] Signal processing methods have changed substantially over the last several decades. In modern applications, an increasing number of functions is being pushed forward to sophisticated software algorithms, leaving only delicate finely- ..."
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statement which has had one of the most profound impacts on industrial development of digital signal processing (DSP) systems. Over the years, theory and practice in the field of sampling have developed in parallel routes. Contributions by many research groups suggest a multitude of methods, other than
1Shannon Meets Nyquist: Capacity Limits of Sampled Analog Channels
"... We explore two fundamental questions at the intersection of sampling theory and information theory: how is channel capacity affected by sampling below the channel’s Nyquist rate, and what sub-Nyquist sampling strategy should be employed to maximize capacity. In particular, we first derive the capaci ..."
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the capacity of sampled analog channels for two prevalent sampling mechanisms: filtering followed by sampling and sampling following filter banks. Connections between sampling and MIMO Gaussian channels are illuminated based on this analysis. Optimal prefilters that maximize capacity are identified for both
Subspace Communication
, 2014
"... We are surrounded by electronic devices that take advantage of wireless technologies, from our computer mice, which require little amounts of information, to our cellphones, which demand increasingly higher data rates. Until today, the coexistence of such a variety of services has been guaranteed by ..."
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We are surrounded by electronic devices that take advantage of wireless technologies, from our computer mice, which require little amounts of information, to our cellphones, which demand increasingly higher data rates. Until today, the coexistence of such a variety of services has been guaranteed by a fixed assignment of spectrum resources by regulatory agencies. This has resulted into a blind alley, as current wireless spectrum has become an expensive and a scarce resource. However, recent measurements in dense areas paint a very different picture: there is an actual underutilization of the spectrum by legacy sys-tems. Cognitive radio exhibits a tremendous promise for increasing the spectral efficiency for future wireless systems. Ideally, new secondary users would have a perfect panorama of the spectrum usage, and would opportunistically communicate over the available re-sources without degrading the primary systems. Yet in practice, monitoring the spectrum resources, detecting available resources for opportunistic communication, and transmit-ting over the resources are hard tasks. This thesis addresses the tasks of monitoring, de-
Guaranteeing Communication Quality in Real World WSN Deployments
"... April 29, 2011Für UnsShe had never before seen a rabbit with either a waistcoat-pocket, or a watch to take out of it, and burning with curiosity, she ran across the field after it Lewis CarrollThe following document, written under the supervision of Dr. reviewed by: ..."
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April 29, 2011Für UnsShe had never before seen a rabbit with either a waistcoat-pocket, or a watch to take out of it, and burning with curiosity, she ran across the field after it Lewis CarrollThe following document, written under the supervision of Dr. reviewed by:
RICE UNIVERSITY Regime Change: Sampling Rate vs. Bit-Depth in Compressive Sensing
, 2011
"... The compressive sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by exploiting inherent structure in natural and man-made signals. It has been demon-strated that structured signals can be acquired with just a small number of linear measurements, on the order of t ..."
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The compressive sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by exploiting inherent structure in natural and man-made signals. It has been demon-strated that structured signals can be acquired with just a small number of linear measurements, on the order of the signal complexity. In practice, this enables lower sampling rates that can be more easily achieved by current hardware designs. The primary bottleneck that limits ADC sam-pling rates is quantization, i.e., higher bit-depths impose lower sampling rates. Thus, the decreased sampling rates of CS ADCs accommodate the otherwise limiting quantizer of conventional ADCs. In this thesis, we consider a different approach to CS ADC by shifting towards lower quantizer bit-depths rather than lower sampling rates. We explore the extreme case where each measurement is quantized to just one bit, representing its sign. We develop a new theoretical framework to analyze this extreme case and develop new algorithms for signal reconstruction from such coarsely quantized measurements. The 1-bit CS framework leads us to scenarios where it may be more appropriate to reduce bit-depth instead of sampling rate. We find that there exist two distinct regimes of operation that correspond to high/low signal-to-noise ratio (SNR). In the measurement
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