A Generalized Oversampled Structure for Cosine-Modulated Transmultiplexers and Filter Banks

Barcellos, Luiz C. R. de; Diniz, Paulo S. R.; Netto, Sérgio L.

doi:10.1007/s00034-005-2501-9

Cited by 6 publications

(2 citation statements)

References 10 publications

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“…For the critically sampled case, there may not always exist FIR or stable IIR solutions. Therefore, some redundancy makes the solutions feasible, as in de Barcellos et al (2006); Kovacević & Vetterli (1993); Li et al (1997); Xie, Chan & Yuk (2005); Xie, Chen & Sho (2005), and it also simplifies the PR conditions. Duality of TMUXs and FBs allows one to obtain a TMUX from its corresponding FB, as noted in Vaidyanathan (1993).…”

Section: General M-channel Tmuxsmentioning

confidence: 99%

Foundation of Cognitive Radio Systems

Cheng¹

2012

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Chapter 6, the second chapter of this part, the authors look into the possibility of improving spectrum sensing performance by exploiting multiuser diversity. They also describe a practical MAC protocol to coordinate transmissions between SU and a fusion center that handles fusion of sensing information.The remaining two parts deal with the aspects of spectrum management. Part 3 includes chapters that layout the foundation of interference management. Chapter 7, the first chapter of Part 3, introduces partial response signaling as a tool for spectrum shaping in cognitive radio. It addresses the potential weakness of having large out-ofband spectrum components in conventional OFDM based systems. In Chapter 8, the second chapter of Part 3, the authors discuss the structure, reconfiguration, and the parameter selection when adopting the dynamic frequency-band allocation (DFBA) and and dynamic frequency-band reallocation (DFBR) for cognitive radios. They also demonstrate how the reconfigurability can be achieved either by a channel switch or by variable multipliers/commutators. In Chapter 9, the third chapter of Part 3, the authors present detail theoretical analysis of opportunistic spectrum access using continuous-time Markov chains. In particular, they explain how SU may be forced to terminate under different traffic scenarios.The last part of this book includes chapters that focus more on the interaction among multiple SU, which naturally leads to the problem of resource allocation. Chapter 10, the first chapter of Part 4, considers different system models in which SUs compete for a chance to transmit simultaneously or orthogonally with the PU. On the basis of these models, the chapter also offers insights into how to design such scenario in a cognitive radio network environments. Chapter 11, the second chapter of Part 4, focuses on the issue of how to implement interference mitigation by power control techniques amongst multiple cognitive radios in the light of game theory. In Chapter 12, the third chapter of Part 4, the authors design a joint PHY layer cooperative spectrum sensing and MAC layer resource scheduling scheme. They also formulate the joint design as a non-convex optimization problem and derive the asymptotic optimum solution based on recent advances in duality optimization theory. The last chapter of this book is rather different from the rest but is equally important. The author presents a summary of standards activities related to cognitive radio systems and dynamic spectrum access systems.

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Section: General M-channel Tmuxsmentioning

confidence: 99%

Foundation of Cognitive Radio Systems

Cheng¹

2012

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“…If the filter is synthesized using the brute force direct-form approach, the length of the filter required is 2000. High-order filters are needed in many applications, such as transmultiplexer [3], digital audio application and analysis [23], speech recognition [13] and so on. Therefore, the design of high-order filters with SPT coefficients has gradually become the focus of recent research.…”

Section: Introductionmentioning

confidence: 99%

Design of High-Order Extrapolated Impulse Response FIR Filters with Signed Powers-of-Two Coefficients

Cao

Wang

Pei

et al. 2011

Circuits Syst Signal Process

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Expensive multiplication operations can be replaced by simpler additions and hardwired shifters so as to reduce power consumption and area size, if the coefficients of a digital filter are signed power-of-two (SPT). As a consequence, FIR digital filters with SPT coefficients have been widely studied in the last three decades. However, most approaches for the design of FIR filters with SPT coefficients focus on filters with length less than 100. These approaches are not suitable for the design of high-order filters because they require excessive computation time. In this paper, an approach for the design of high-order filters with SPT coefficients is proposed. It is a two-step approach. Firstly, the design of an extrapolated impulse response (EIR) filter is formulated as a standard second-order cone programming (SOCP) problem with an additional coefficient sensitivity constraint for optimizing its finite word-length effect. Secondly, the obtained continuous coefficients are quantized into SPT coefficients by recasting the filter-design problem into a weighted least squares (WLS) sequential quadratic programming relaxation (SQPR) problem. To further reduce implementation complexity, a graph-based common subexpression elimination (CSE) algorithm is utilized to extract common subexpressions between SPT coefficients. Simulation results show that the proposed method can effectively and efficiently Y. Cao ( ) · 964 Circuits Syst Signal Process (2011) 30:963-985 design high-order SPT filters, including Hilbert transformers and half-band filters with SPT coefficients. Experiment results indicate that 0.81N ∼ 0.29N adders are required for 18-bit N-order FIR filters (N = 335 ∼ 3261) to meet the given magnitude response specifications.

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Efficient frequency band reallocation using uniform transmultiplexers with FPGA implementation

Pavithra¹,

Ajin²

2014

International Conference on Information Communication and Embedded Systems (ICICES2014)

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Multirate filter banks have become excellent solution for future wireless communication system. Filter bank based multicarrier system provides high spectral efficiency through removal of redundant information resulting in efficient use of available spectrum. In multicarrier communication system, filter bank based transmultiplexer (TMUX) having same analysis and synthesis filter bank is employed. Efficient utilization of the available limited frequency spectrum, calls for on-board signal processing to perform flexible frequency-band reallocation (FFBR).This paper introduces a uniform TMUX which is the uniform band structure in which all the incoming data signals are assumed to have the same sampling rates and are upsampled at the same integer factor and thus, achieves nearly perfect reconstruction.

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A Generalized Oversampled Structure for Cosine-Modulated Transmultiplexers and Filter Banks

Cited by 6 publications

References 10 publications

Foundation of Cognitive Radio Systems

Foundation of Cognitive Radio Systems

Design of High-Order Extrapolated Impulse Response FIR Filters with Signed Powers-of-Two Coefficients

Efficient frequency band reallocation using uniform transmultiplexers with FPGA implementation

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