Transmission of all-digital advanced television: state of the art and future directions

Sablatash, M.

doi:10.1109/11.286291

Cited by 26 publications

(7 citation statements)

References 46 publications

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“…Each column of the link-matrix is generated in the manner described by (3). The next step is to extract the portion of the cut-set matrix corresponding to the link-branches, designated as Q l−− matrix, and later on its parts Q lCL , Q lRL , Q lCR , Q lRR , Q lER , Q lCJ , Q lRJ , and Q lEJ .…”

Section: Software Implementationmentioning

confidence: 99%

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Systematic method to convert of analog filters to digital filters

Lodin

Grama

Rusu

et al. 2013

SiPS 2013 Proceedings

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Section: Software Implementationmentioning

confidence: 99%

“…Thus there is interest to design a digital implementation for any analog device [3]. Sometimes the design process is time consuming and expensive, as engineers must know and consider both the analog and digital domain.…”

Section: Introductionmentioning

confidence: 99%

Systematic method to convert of analog filters to digital filters

Lodin

Grama

Rusu

et al. 2013

SiPS 2013 Proceedings

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“…While the actual weights depend on the actual application, we reduce the number of parameters used in the examples by introducing a one parameter model to control all weights. With the introduced weight parameter, , the weights are calculated according to for (3) Note that to fulfill the conditions for the weights . One of the costs associated with the use of multiresolution broadcast model presented in Section II is the multichannel circuitry and increased demand of power amplifier linearity due to the increase in peak to average power ratio.…”

Section: Objective and Metricmentioning

confidence: 99%

A Computability Strategy for Optimization of Multiresolution Broadcast Systems: A Layered Energy Distribution Approach

Sehlstedt

LeBlanc

2006

IEEE Trans. on Broadcast.

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Abstract-This paper investigates the possible system gain for a multiresolution broadcast system using multilayer transmission of multiresolution data by utilizing nonuniform layer transmission energies. It shows how to find the energy distribution that maximizes the system performance, measured in the form of a sum of a weighted layer values population product (representing possible revenue for service providers).Through the introduction of the relative population coverage function ( ) it is shown for a layer system that in many cases when ( ) is a concave function (equivalent to ( ) being convex) it is possible to reduce what seems to be an -dimensional problem to line searches. The paper also shows how the relative population coverage function can be constructed in two ways. The first uses analytic models for signal strength and population coverage (Uniform and Rayleigh). The second uses numerical signal strength and population estimates in grid format.The paper also includes examples to illustrate how the method works and the performance gain it provides. One of the examples uses actual grid estimates for an example transmitter located in Luleå, Sweden.

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“…Although a general solution for the capacity region of the broadcast channel is not yet known, considerable progress (surveyed in [307]) has been made in exploring the fundamental limits of various classes of memoryless broadcast channels. On the practical side, superposition coding is gaining increasing attention for broadcast applications [308], [309] and other applications that require unequal error protection [310].…”

Section: ) Broadcast Channelsmentioning

confidence: 99%

Fifty years of Shannon theory

Verdú

1998

IEEE Trans. Inform. Theory

266

135

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Abstract-A brief chronicle is given of the historical development of the central problems in the theory of fundamental limits of data compression and reliable communication.Index Terms-Channel capacity, data compression, entropy, history of Information Theory, reliable communication, source coding. C LAUDE Shannon's "A mathematical theory of communication" [1] published in July and October of 1948 is the Magna Carta of the information age. Shannon's discovery of the fundamental laws of data compression and transmission marks the birth of Information Theory. A unifying theory with profound intersections with Probability, Statistics, Computer Science, and other fields, Information Theory continues to set the stage for the development of communications, data storage and processing, and other information technologies.This overview paper gives a brief tour of some of the main achievements in Information Theory. It confines itself to those disciplines directly spawned from [1]-now commonly referred to as Shannon theory.Section I frames the revolutionary nature of "A mathematical theory of communication," in the context of the rudimentary understanding of the central problems of communication theory available at the time of its publication.Section II is devoted to lossless data compression: the amount of information present in a source and the algorithms developed to achieve the optimal compression efficiency predicted by the theory.Section III considers channel capacity: the rate at which reliable information can be transmitted through a noisy channel.Section IV gives an overview of lossy data compression: the fundamental tradeoff of information rate and reproduction fidelity.The paper concludes with a list of selected points of tangency of Information Theory with other fields. Publisher Item Identifier S 0018-9448(98)06315-9.• Frequency Modulation (Armstrong, 1936);• Pulse-Code Modulation (PCM) (Reeves, 1937(Reeves, -1939;• Vocoder (Dudley, 1939); • Spread Spectrum (1940's). In those systems we find some of the ingredients that would be key to the inception of information theory: a) the Morse code gave an efficient way to encode information taking into account the frequency of the symbols to be encoded; b) systems such as FM, PCM, and spread spectrum illustrated that transmitted bandwidth is just another degree of freedom available to the engineer in the quest for more reliable communication; c) PCM was the first digital communication system used to transmit analog continuous-time signals; d) at the expense of reduced fidelity, the bandwidth used by the Vocoder [2] was less than the message bandwidth.In 1924, H. Nyquist [3] argued that the transmission rate is proportional to the logarithm of the number of signal levels in a unit duration. Furthermore, he posed the question of how much improvement in telegraphy transmission rate could be achieved by replacing the Morse code by an "optimum" code. R. Hartley's 1928 paper [10] uses terms such as "rate of communication," "intersymbol interference," and "capacity of a s...

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Transmission of all-digital advanced television: state of the art and future directions

Cited by 26 publications

References 46 publications

Systematic method to convert of analog filters to digital filters

Systematic method to convert of analog filters to digital filters

A Computability Strategy for Optimization of Multiresolution Broadcast Systems: A Layered Energy Distribution Approach

Fifty years of Shannon theory

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