Hardware-Constrained Hybrid Coding of Video Imagery

The design, implementation, and performance of a video bandwidth compression system is described. In this system, compression is obtained by several methods including the use of DCT/DCPM hybrid coding, frame rate reduction, and resolution reduction. The overall compression ratio is up to 1000:1. The hardware-constrained design of the DCT and the DPCM is described and a new method is derived to solve the optimum integer bit-assignment problem associated with the block quantization process in the DPCM. Computer simulation results are presented which predict that the performance of the system using the derived optimal bit assignment method is superior to those obtained by other bit assignment methods. The real-time hybrid coding system design is optimized for a set of ?modified? average statistics to compress a wide variety of input video images. This approach eliminates the problem of nonzero dc mean value which could otherwise cause serious degradations in the system performance. The compression system is fully implemented and the quality of the reconstructed video as predicted by computer simulation has been demonstrated by the actual hardware performance. The PSNR of the reconstructed imagery is in excess of 36 dB at 2 bits per pixel.     

存储系统中两级纠错编码方案设计与验证

针对恶劣空间环境设计了一种两级存储编码方案,以应对航天系统中存储单元发生多个单粒子翻转（SEU）错误的问题。方案设计的主要思想是根据简单低纠错编码组合出高容错编码,通过编码组合,使用字间编码来纠正字内编码无法纠正的错误,从而使存储系统更加可靠;对两级编码方案提出若干优化策略,以提高编解码性能,使得两级冗余编码效率接近于原始字内编码。实验结果表明,提出的两级冗余编码方案能够较好解决存储系统中发生多个单粒子翻转错误的问题。即与单一的字内编码相比,两级纠错编码方案能够大大降低星上存储系统出现不可修复的概率,保证了星上存储系统的可靠运行。     

An approach for machining distortion measurements and evaluation of thin-walled blades with small datum

Inspection techniques for aero-engine blades are a hot topic in industry. Since these blades have a sculptured surface and a small datum, measurement results may deviate from an actual position. There are few proper approaches compensating for non-uniform distribution errors that are within specified tolerance ranges. This study aimed to develop a meshing structure measur-ing approach for the distortion of blades via non-contact optical 3D scanning. A rough measure-ment and a registration procedure are initially adopted to rectify the coordinate system of a blade, which avoids the initial coordinate system errors caused by the small datum. A measurement path with meshing structure is then unfolded on the blade surface. For non-uniform distribution errors, the meshing structure measurement is more visual and clear than the traditional constant height curves method. All measuring points take only 7 min to complete, and the distribution of error is directly and accurately presented by the meshing structure. This study provides a basis for future research on distortion control and error compensation.     

Speech Data Rate Reduction Part I: Applicability of Modern Estimation Theory

Efficient coding of continuous speech signals for digital representation has attracted much interest in recent years. The underlying aim of efficient coding methods is to reduce the channel capacity required to represent a signal to meet a specific reconstruction fidelity criterion. To achieve this objective, modern speech data compression techniques rely on two very similar procedures. One procedure uses predictive deconvolution which subtracts from the current signal value that portion which can be predicted from its past and thus removes redundancy in the speech by removing sequential correlation. The signal thus requires fewer bits for equivalent quantization error. The second procedure involves identification of a complete mathematical model of the speech producing mechanism. This involves determination of the characteristics of the source that drives this transfer function. Data reduction is again achieved since the rate of change of the parameters of the speech model is much smaller than the rate of change of the speech waveform. This paper develops these data reduction procedures in terms of modern estimation theory, specifically a Kalman filter model, and illustrates the utility of this model as an analysis tool by means of an example based on a uniform tube which provides a qualitative assessment of the potential of the technique for application to real speech signals.     

Research of multi-path routing based on network coding in space information networks

A multi-path routing algorithm based on network coding is proposed for combating long propagation delay and high bit error rate of space information networks. On the basis of traditional multi-path routing, the algorithm uses a random linear network coding strategy to code data pack- ets. Code number is determined by the next hop link status and the number of current received packets sent by the upstream node together. The algorithm improves retransmission and cache mechanisms through using redundancy caused by network coding. Meanwhile, the algorithm also adopts the flow distribution strategy based on time delay to balance network load. Simulation results show that the proposed routing algorithm can effectively improve packet delivery rate, reduce packet delay, and enhance network performance.     

部分可观测信息条件下装备剩余寿命预测

 针对部分可观测信息条件下退化系统的剩余寿命(RUL)预测问题,综合利用装备的历史寿命信息和性能退化信息,采用隐马尔可夫模型(HMM)对系统进行状态评估,得到系统的转移概率矩阵和观测概率矩阵;采用Bayes方法不断更新系统状态空间的条件概率分布;利用比例故障率模型(PHM)对系统进行可靠性分析,得到系统的故障率和可靠度函数,进而得到装备的剩余寿命分布。研究表明,该方法可较准确地预测装备的剩余寿命,为保障人员提供科学的维修决策依据。     

高超声速弯曲激波压缩侧压式进气道数值研究

采用壁面马赫数呈线性分布的曲面压缩系统改进参考侧压式进气道的顶板,得到弯曲激波压缩侧压式进气道,并与参考侧压式进气道进行了比较.数值研究结果表明:设计状态无黏时曲面压缩顶板壁面马赫数分布与给定的马赫数分布基本一致,并且有黏时其壁面压力分布也与二维曲面的基本相同;同参考侧压式进气道相比,顶板采用曲面压缩能够一定程度地改善壁面压力分布,使其末端压力梯度变化平缓;并且非设计状态下的性能也得到有效地改善,特别是来流马赫数为4时,其流量系数提高6.0%、达到0.799,喉道截面总压恢复系数提高1.9%;来流马赫数为5时,其流量系数提高5.2%、达到0.909,喉道截面总压恢复系数提高3.2%.随着攻角增大,该进气道流量捕获能力增强、隔离段出口截面流场畸变减小,但喉道截面总压恢复系数下降剧烈.      

典型二元高超声速进气道与侧压式进气道的性能比较

在相同的约束条件下运用高超声速进气道已有的相关设计方法设计了两类典型的二元进气道与侧压式进气道,利用数值模拟手段对两类进气道的流场结构和总体性能开展了对比研究.研究发现,二元进气道出口流场畸变较小,流场均匀性优于侧压式进气道;二元进气道流量系数对飞行马赫数的敏感程度远高于侧压式进气道;设计点,二元进气道性能优于侧压式进气道.非设计点,尤其在接力状态下,侧压式进气道性能突出;侧压式进气道阻力特性优于二元进气道,而二元进气道的前体升力则高于侧压式进气道.      

Some Results on Digital Chirp

Generating chirp waveforms by means of phase coding yields a simple, cost-effective mechanization. The coding process, however, introduces phase errors whose effect must be included in the design. An approximate analysis is presented, valid for moderate to high compression ratios, which allows error effects on compressed pulse amplitude and sidelobes to be calculated in a simple manner. The anaylsis provides criteria for selecting the coding bit width (sample rate), weighting network bandwidth, and phase-coder quantization interval and transition times. Weighting functions for maximizing the signal-to-noise ratio (SNR) or for producing desired close-in sidelobe performance are derived, as is an exact expression for the transmitted spectrum. Numerical results are presented for Gaussian and the maximum-SNR weighting. The results indicate that performance will be satisfactory for many applications.     

Joint calibration algorithm for gain-phase and mutual coupling errors in uniform linear array

The effect of gain-phase perturbations and mutual coupling significantly degrades the performance of digital array radar (DAR). This paper investigates array calibration problems in the scenario where the true locations of auxiliary sources deviate from nominal values but the angle intervals are known. A practical algorithm is proposed to jointly calibrate gain-phase errors and mutual coupling errors. Firstly, a simplified model of the distortion matrix is developed based on its special structure in uniform linear array (ULA). Then the model is employed to derive the precise locations of the auxiliary sources by one-dimension search. Finally, the least-squares estimation of the distortion matrix is obtained. The algorithm has the potential of achieving considerable improvement in calibration accuracy due to the reduction of unknown parameters. In addition, the algorithm is feasible for practical applications, since it requires only one auxiliary source with the help of rotation platforms. Simulation results demonstrate the validity, robustness and high per-formance of the proposed algorithm. Experiments were carried out using an S-band DAR test-bed. The results of measured data show that the proposed algorithm is practical and effective in appli-cation.     

流线追踪Busemann进气道设计参数的选择

为了研究型面设计马赫数、唇口偏移量对流线追踪Busemann进气道设计点性能的影响规律,寻求最佳性能的进气道,对设计马赫数为6,具有不同型面设计马赫数和唇口偏移量的流线追踪进气道进行了数值模拟。研究表明:选取低于马赫数6的型面设计马赫数,可获得较高的流量系数和增压比,而其压缩效率并不低;进气道唇口偏移量增大,会导致流量系数、增压比变小,但却有利于减小进气道内的分离程度,还会影响隔离段内的流动,因此唇口偏移量的选取需要综合考虑。     

Optimal generator matrix G

Multiple antenna transmission methods are currently being developed all around the world for evolving 3G wireless standards. Space–Time Trellis Code (STTC) has been proven to use transmit diversity efficiently. It effectively exploits the effects of multipath fading to increase the information capacity of the multiple antenna transmission systems. STTC is a channel coding technique that maximises the ‘distance’ between different symbol matrices such that the probability of transmission errors are decreased when transmitting redundant symbol or in other words, to maximise the minimum determinant. Maximising the minimum determinant is equivalent to obtaining optimal generator matrix G. Instead of using state diagrams, optimal generator matrix G discussed in this paper is obtained using an improved algorithm which is based on Lisya tree structure. Optimal generator matrix G in this paper has a minimum determinant of 48 which is the highest coding gain obtained so far.     

风扇/压气机稳定性三维模型的研究

发展了一个基于体积力的可用于分析风扇/压气机性能和稳定性的三维可压缩模型。该模型先是利用三维CFD求解器求得在同一转速线下不同工作状态下的每一叶片排的叶轮机源项,然后通过求解带源项的三维非定常Eu ler方程,获得对风扇/压气机内部三维流场和性能的模拟。利用该模型对某一跨声速风扇级的三维流场和性能进行了数值模拟分析,特别是分析对比了在进口无畸变和进口有畸变情况下的风扇内部三维流场和气动性能。研究结果表明,所发展的计算模型的数值结果与实验结果吻合得很好。与实验结果相比,预测总温比的误差为1.2%,而预测总压比的误差小于4%。     

基于改进遗传算法的配电网状态估计

利用配电网实时量测数据和规格化的负荷历史数据,以各用户的有功功率和无功功率作为基因,在基因编码和适应度函数中充分考虑用户负荷的概率模型和配电网的潮流约束,采用多种基因操作组合求解,通过IEEE典型算例证明该方法可行,计算精度和速度均满足配电网状态估计的要求.     

Near lossless data compression onboard a hyperspectral satellite

To deal with the large volume of data produced by hyperspectral sensors, the Canadian Space Agency (CSA) has developed and patented two near lossless data compression algorithms for use onboard a hyperspectral satellite: successive approximation multi-stage vector quantization (SAMVQ) and hierarchical self-organizing cluster vector quantization (HSOCVQ). This paper describes the two compression algorithms and demonstrates their near lossless feature. The compression error introduced by the two compression algorithms was compared with the intrinsic noise of the original data that is caused by the instrument noise and other noise sources such as calibration and atmospheric correction errors. The experimental results showed that the compression error was not larger than the intrinsic noise of the original data when a test data set was compressed at a compression ratio of 20:1. The overall noise in the reconstructed data that contains both the intrinsic noise and the compression error is even smaller than the intrinsic noise when the data is compressed using SAMVQ. A multi-disciplinary user acceptability study has been carried out in order to evaluate the impact of the two compression algorithms on hyperspectral data applications. This paper briefly summarizes the evaluation results of the user acceptability study. A prototype hardware compressor that implements the two compression algorithms has been built using field programmable gate arrays (FPGAs) and benchmarked. The compression ratio and fidelity achieved by the hardware compressor are similar to those obtained by software simulation     

On-Board Image Compression for the RAE Lunar Mission

The requirements, design, implementation, and flight performance of an on-board image compression system for the lunar orbiting Radio Astronomy Explorer-2 (RAE-2) spacecraft are described. The image to be compressed is a panoramic camera view of the long radio astronomy antenna booms used for gravity-gradient stabilization of the spacecraft. A compression ratio of 32 to 1 is obtained by a combination of scan line skipping and adaptive run-length coding. The compressed imagery data are convolutionally encoded for error protection. This image compression system occupies about 1000 cm2 and consumes 0.4 W.     

Compression standards and alternative methods for video telecom

The complex video compression methods in the process of being standardized, which are designed to reduce transmission needs by detecting and coding image redundancy temporally and spatially between frames, are examined. Methods involving fractals, and wavelets may achieve more efficient coding by defining spatial formats and equations more applicable to the specific image than the more general-purpose transforms of the standards. A newer method involves the capture of an entire database of image characteristics and identifies and stores the 3-D motion in the image field. The image can be reproduced at high compression rates at remote locations. Telecommunication products that facilitate the operation and use of video compression systems are presented     

边缘图像自适应编码方法

边缘特征常被视作无人机视觉系统中的重要信息（比如在视觉导航时需用边缘特征识别障碍物），在实践中会遇到边缘图像数据量大的情况。针对边缘图像高效压缩问题，提出了边缘图像自适应编码方法。首先以边缘打包法的压缩比和边缘点所占比例为特征，建立Logistic回归模型，然后利用图像数据库对该模型进行离线训练获取模型参数，最后利用Logistic回归模型建立分类器，自适应地在边缘打包法和链码编码法中选择压缩比最高的方法对边缘图像进行压缩。对VOC2012图像数据库的测试结果表明，与常用压缩方法相比，提出的算法能提高压缩比5%左右，有效减少了数据量。     

Relaying Selection with Network-coded Cooperative Protocols in Aeronautical Communications

In this article, we exploit the idea of network-coded cooperative protocol in aeronautical communications which combines different source nodes'information at the relay and joint decoding at the destination. Recently, the network coding in cooperative communications has been categorized into two mainstreams, bit-level and signal-level combinations, which are both discussed in the article. And to be exclusively, multiple access relay channel(MARC) is adopted. The mutual information expressions of both above-cited network-coded protocols are deduced, which prove that without proper selected relays to perform network coding, the spatial diversity of the proposed protocol cannot be obtained. This then leads to search for the selection and grouping algorithms. An adjacency matrix is defined to describe the connectivity of the nodes in one radio contact disk, so that, the selection and grouping of algorithm is equivalent to constructing this adjacency matrix to minimize the system outage probability evaluated in term of the mutual information. Besides, a network-coded cooperative protocol requires the acyclic network, of which the construction is to avoid loop-4 in the matrix. The article ends with simulations to demonstrate the viability of the proposed algorithms.     

k/N（G）结构系统初始备件配置方法

针对现有备件冗余度建模中无限呼叫总体假设不合理、供应可用度计算困难的问题,提出一种k/N（G）结构系统初始备件配置方法。首先,采用有限源排队论获取备件短缺数概率分布。然后,给出计算k/N（G）结构系统供应可用度的方案,并证明了方案的正确性。该方案在计算随机挑选的一套系统未因备件短缺而停机的概率基础上,利用k（或更多）套系统良好的二项分布概率估计系统供应可用度。最后,应用边际分析算法确定各项备件的数量。实例分析表明：该方法能优化k/N（G）结构系统各组成部件的库存数量,且与单项法相比具有明显的优势,能以较少的备件费用达到相同的供应可用度目标。