Design Method of a Freeform HMD System with Large Pupil Size

Bo, 杨波 Yang; Xiaona, 韦晓娜 Wei; Wei, 张薇 Zhang; Songlin, 庄松林 Zhuang

doi:10.3788/gzxb20114007.1051

Cited by 2 publications

(2 citation statements)

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“…Dividing vector S into 2 1 r − ( ) words, each continuous w bits as a word, we can design a w-bit wide, 2 1 r − ( ) addresses on-chip memory in FPGA and write each w-bit word of vector S sequentially into this on-chip memory. Hence, in each time period, we can read the w-bit data from each address of the on-chip memory and xor them with the coming w-bit scrambling data to accomplish w-bit parallel descrambling function [5].…”

Section: Is (2 1)mentioning

confidence: 99%

A Novel Resource-Optimized Parallel Descrambling Structure for Optical Backbone Transmission Network

Zuo

Zhang

et al. 2012

AMR

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High speed of optical backbone transmission network makes descrambling at receivers a challenge. Considering the limit process frequency of general hardware device, parallel structure is used in descrambling. The general parallel descrambling structure (GPDS) uses too many multi-level xor operations which are complex and may cause delay to affect the hardware performance. To reduce system complexity, we have designed a memory-based parallel descrambling structure (MPDS). MPDS usually covers a large amount of memory. To overcome the shortcomings of GPDS and MPDS, a novel resource-optimized parallel descrambling structure (ROPDS) is proposed. Evaluation results show that ROPDS reduces the complexity of parallel descrambling, improves the hardware performance, and makes the most effective use of the logic and memory resource.

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Section: Is (2 1)mentioning

confidence: 99%

A Novel Resource-Optimized Parallel Descrambling Structure for Optical Backbone Transmission Network

Zuo

Zhang

et al. 2012

AMR

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“…The appraisal of freeform surface quality is an important research field for freeform surface optical systems [1][2] . The difference between designed and real surfaces affects the quality of systems, damaging the clearance of image 3 .…”

Section: Introductionmentioning

confidence: 99%

Data processing method based on surface and tangent vector deviations for freeform surface

et al. 2013

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Surface measurement and analysis are important to freeform surface optical systems. The deviation from designed surface is generally regarded as a judging criterion of real surface quality. In off-axis optical systems, some freeform surfaces contain no reference points. Measured data of such surfaces can only constitute a fitted surface, but the spatial position of the fitted surface is difficult to be determined to make a smallest deviation from designed surface by internal algorithms. In freeform surface optical systems, besides the surface deviations, the tangent vector variations of lattice data of measured surface can also affect the image quality. Consequently the quality of freeform surface should be appraised by both of tangent vector variations and surface deviations. This paper presents one method using first-order differential to directly analyze and process the measured lattice data of freeform surfaces. This method assesses the tangent vector variations of measured data and the smoothness of real surfaces, while does not involve the fitting procedure with designed surfaces. In this paper, this method is applied to evaluate a set of measured lattice data of some reflective freeform surfaces. Furthermore, some fitting algorithms are applied to assess the surface deviations between the measured and designed surfaces as contrasts.

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Design Method of a Freeform HMD System with Large Pupil Size

Cited by 2 publications

References 0 publications

A Novel Resource-Optimized Parallel Descrambling Structure for Optical Backbone Transmission Network

A Novel Resource-Optimized Parallel Descrambling Structure for Optical Backbone Transmission Network

Data processing method based on surface and tangent vector deviations for freeform surface

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