Titlebook: Sigma Delta Modulators; Nonlinear Decoding A S?ren Hein,Avideh Zakhor Book 1993 Springer Science+Business Media New York 1993 Signal.analog

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書目名稱Sigma Delta Modulators影響因子(影響力)




書目名稱Sigma Delta Modulators影響因子(影響力)學科排名




書目名稱Sigma Delta Modulators網絡公開度




書目名稱Sigma Delta Modulators網絡公開度學科排名




書目名稱Sigma Delta Modulators被引頻次




書目名稱Sigma Delta Modulators被引頻次學科排名




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書目名稱Sigma Delta Modulators年度引用學科排名




書目名稱Sigma Delta Modulators讀者反饋




書目名稱Sigma Delta Modulators讀者反饋學科排名

貪婪的人

Introduction,ransducers [2], [3], voice-band codecs for telephony and the ISDN U-interface [4], [5], [6], modems, audio recording for Compact Disc (CD) and Digital Audio Tape (DAT) [7], [8], [9], [10], audio interfaces in Personal Computers (PCs) and workstations, digital radio [5], video signal acquisition [11] and storage oscilloscopes [12].

Colonoscopy

Halftone to Continuous-Tone Conversion of Error-Diffusion Coded Images,ftone-to-contone conversion, and show simulation results that compare the performance of the algorithm to that of conventional linear lowpass filtering. We find that the new technique results in subjectively superior reconstruction.

斜坡

大約冬季

Book 1993es increasingly prevalent in telephony,audio, video, consumer products, etc. The varying demands onconversion rate, resolution and other characteristics have inspired alarge number of competing A/D conversion techniques. .Sigma DeltaModulators: Nonlinear. .Decoding Algorithms and StabilityAnalysis.

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Bravura

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Optimal Decoding for ONS Encoders with Constant Inputs,s in which the analog input is approximately constant. The decoding algorithms are conceptually simple and are applicable to all current ONS encoders including single-loop and double-loop, cascade and interpolative encoders. The performance of the algorithms is identical to that of the table look-up

Myofibrils

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Optimal Decoding for ONS Decoders with Band-Limited Inputs,ding algorithm is based on the theory of Projections Onto Convex Sets (POCS), and alternates between a time-domain operation and a band limitation to find a signal invariant under both. The time-domain operation results in a quadratic programming problem. The band limitation can be based on a signal