MILCOM 2009 - 2009 IEEE Military Communications Conference 2009
DOI: 10.1109/milcom.2009.5379889
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Effects of source distributions on CMA and MMA using symmetric two-dimensional signal constellations

Abstract: This paper attempts to predict and evaluate both the equalization performance and the carrier phase recovery performance of the multimodulus algorithm (MMA) and the constant modulus algorithm (CMA) followed by a blind carrier phase recovery algorithm (CPRA) with arbitrary two-dimensional sy mmetric signal constellations based on their erro r surface curvatures in the neighborhoods ofthe stationary points.

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Cited by 28 publications
(5 citation statements)
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“…(5) In the job shop, only the processes of the same part have process constraints and there are no process constraints between different parts. (6) The process time of the process includes the preparation time and transportation time of the process. (7) The parts-process workshop processes a batch of parts for the components-assembly workshop and the product-assembly workshop; or the parts-assembly workshop processes certain parts for the assembly station of the product-assembly workshop.…”
Section: Problem Description and Modelingmentioning
confidence: 99%
See 1 more Smart Citation
“…(5) In the job shop, only the processes of the same part have process constraints and there are no process constraints between different parts. (6) The process time of the process includes the preparation time and transportation time of the process. (7) The parts-process workshop processes a batch of parts for the components-assembly workshop and the product-assembly workshop; or the parts-assembly workshop processes certain parts for the assembly station of the product-assembly workshop.…”
Section: Problem Description and Modelingmentioning
confidence: 99%
“…Smutnicki [5] proposed an approximation algorithm based on tabu search, with the goal of minimizing processing time and studying a mixed flow shop with a limited intermediate buffer area. Wang et al [6] proposed a multi-objective genetic algorithm to study the integrated scheduling problem of flow shop with buffer. Seidgar et al [7] considered the coordination trade-off model of maximum process time and average completion time and used intelligent algorithms to solve and study the optimization of two-stage flow-shop scheduling with assembly tasks.…”
Section: Introductionmentioning
confidence: 99%
“…The recovery rate of hydrometallurgy is far from that of pyrometallurgy. In the acid leaching of electrode materials, inorganic acids are mostly used, usually including hydrochloric acid (HCl) (Li et al, 2009;Guo et al, 2016;Barik et al, 2017), sulfuric acid (H 2 SO 4 ) (Dun-Fang et al, 2009;Meshram et al, 2015Meshram et al, , 2016, nitric acid (HNO 3 ) (Li et al, 2011;Mossini et al, 2015), and phosphoric acid (H 3 PO 4 ) (Pinna et al, 2016;Chen et al, 2017), while the organic acids studied include citric acid (Li et al, 2010;Gao et al, 2019;Yu et al, 2019), oxalic acid (Zeng et al, 2015), and tartaric acid (Chen et al, 2019). Lee and Rhee (2003) used HCl to recycle LiCoO 2 and revealed the principle of acid leaching:…”
Section: Hydrometallurgical Processmentioning
confidence: 99%
“…In this case, time history curves composed of initial signals and pile defects or reflections produced at the pile bottoms can be received by the sensors (accelerometer or speedometer) installed at the pile top; the collected waveforms with pile body quality information can also be processed and analyzed via low strain pile dynamic tester; and the pile integrity shall be determined in conjunction with relevant geological data and construction records. The time-domain signals received at the pile top also include the superposition information caused by the increase or decrease (wave impedance decrease) of the soil resistance at the pile side (Ding et al, 2009;Ding and Tan, 2011). Therefore, the pile defect position can be estimated according to that of abnormal reflection signals in time-domain curves; and likewise the defect nature of broken pile can be judged by the phase change or frequency analysis of reflected signals.…”
Section: Fundamental Principles and Test Pile Defect Designsmentioning
confidence: 99%