Improved partial response maximum likelihood method combining modulation code for signal waveform modulation multi-level disc

In this paper, we describe an improved adaptive partial response maximum likelihood （PRML） method combining modulation code tbr signal waveform modulation multi-level disc. This improved adaptive PRML method employs partial response equalizer and adaptive viterbi detector combining modulation code. Compared with the traditional adaptive PRML detector, the improved PRML detector additionally employs illogical sequence detector and corrector. Illogical sequence detector and corrector can aw）id the appearance of illogical sequences effectively, which do not follow the law of modulation code for signal waveform modulation multi-level disc, and obtain the correct sequences. We implement the improved PRML detector using a DSP and an FPGA chip. The experimental results show good performance. The higher efficient and lower complexity can be obtained by using the improved PRML method than by using the previous PRML method. Meanwhile, resource utilization of the improved PRML detector is not changed, but the bit error rate （BER） is reduced by more than 20%.     

Recording characteristics of high-density thin optical disk using near-field optical recording

We report on the recording characteristics of a near-field optical recording thin optical disk (NFR-TOD). We proposed a new cooling-less-type write strategy for recording, applied it to the NFR-TOD experimental system, and also applied a partial response maximum likelihood (PRML) signal processing, which was evaluated and optimized the PR coefficient for playback signals of the prototype NFR-TOD. The NFR-TOD has a track pitch of 160 nm and improved recording characteristics. The experimental results of the prototype NFR-TOD and the system indicate sufficiently low bit error rates (bERs) for recorded data at a fourfold higher recording density than the current Blu-ray disk.     

用于HD-DVD的PRML检测系统的设计与实现

对用于高密度DVD(HD-DVD)光盘存储系统的部分响应最大似然(PRML)检测器的设计和实现进行了详细研究.通过比较光盘信道的线性模型与记忆长度为4—7的部分响应(PR)多项式的幅频特性,从提高PR均衡器和维特比检测器性能的角度,对目标PR的记忆长度及系数的选择进行了详细分析.仿真计算的信噪比-误码率曲线说明,当目标PR的记忆长度为7且与光盘信道模型的幅频特性接近时,PRML检测器的性能最优.还详细描述了PRML系统中维特比检测器的硬件结构,分析证明当目标PR的记忆长度增加时,维特比检测器的逻辑单元规模 关键词： 高密度DVD 码间干扰 部分响应最大似然检测 维特比检测器     

Discussions on phase-reconstructing algorithms for 3D digitizing structure-light profilometry

For the 3D digitizing structure-light profilometry, five kinds of phase reconstructing (PR) algorithms, including Schofield's S-FFT (with 4 pairs of FFT & Inverse FFT operators) algorithm, Volkov's deterministic V-FFT PR algorithm (with only one pair of FFT operators and one Inverse FFT operator), quality-guided (QG) method, weighted least-square (WLS) method and a proposed Discrete-Cosine-Transform-Based (DCT-B) algorithm have been implemented and discussed in detail. The computer-simulated data show that the WLS and V-FFT enjoy the least phase error, but the QG algorithm achieves the trade-off between reliability and computational time. The S-FFT together with V-FFT method almost fails to deal with the experimental data with abrupt phase variance. Among the other three algorithms, the DCT-B algorithm shows its advantage over QG and WLS algorithms in settling these problems. Considering phase error and computational time, it could win the priority in PR. The experimental results also demonstrate that the proposed DCT-B algorithm could be firstly considered in the application of structure-light profilometry, especially to process the abrupt-phase maps.     

A novel spatial–temporal detection method of dim infrared moving small target

Moving small target detection under complex background in infrared image sequence is one of the major challenges of modern military in Early Warning Systems (EWS) and the use of Long-Range Strike (LRS). However, because of the low SNR and undulating background, the infrared moving small target detection is a difficult problem in a long time. To solve this problem, a novel spatial–temporal detection method based on bi-dimensional empirical mode decomposition (EMD) and time-domain difference is proposed in this paper. This method is downright self-data decomposition and do not rely on any transition kernel function, so it has a strong adaptive capacity. Firstly, we generalized the 1D EMD algorithm to the 2D case. In this process, the project has solved serial issues in 2D EMD, such as large amount of data operations, define and identify extrema in 2D case, and two-dimensional signal boundary corrosion. The EMD algorithm studied in this project can be well adapted to the automatic detection of small targets under low SNR and complex background. Secondly, considering the characteristics of moving target, we proposed an improved filtering method based on three-frame difference on basis of the original difference filtering in time-domain, which greatly improves the ability of anti-jamming algorithm. Finally, we proposed a new time–space fusion method based on a combined processing of 2D EMD and improved time-domain differential filtering. And, experimental results show that this method works well in infrared small moving target detection under low SNR and complex background.     

单光子探测三维点云与可见光图像融合处理算法研究

为了提升光电系统对于目标的探测识别能力,实现单光子探测三维点云数据和二维可见光图像的融合处理,提出了单光子探测成像系统的融合处理算法,采用直接线性变换方法并利用同名特征点的选取和间接平差算法解决了融合处理过程中的参数标定问题。通过实验数据进行融合处理算法验证,实现了分辨率1024×768像素单光子探测三维点云和二维可见光图像的像素级融合处理。实验结果表明,提出的融合处理算法能够有效实现三维、二维图像的融合。     

Signal processing for high speed underwater acoustic transmission of image

A signal processing method for high-speed underwater acoustic transmission of image is presented. It has two parts. Part 1 introduces signal processing for underwater acoustic coherent communication. Part 1 includes 3 technical points. （1） Doppler shift compensation. Chirp signals are inserted between data packages. A correlation process between two copy correlation functions gives more accurate estimation of the mean Doppler shift. Then it could be compensated by resampling the data. In adaptive decision feedback equalizer （DFE） an adaptive phase compensator with fast self-optimized least mean square （FOLMS） adaptation algorithm is utilized resulting in better motion tolerance than compensators with 2nd order Phase-Lock Loop algorithm. The performance of the combination of mean Doppler shift compensation and adaptive phase compensator is quite good. （2） A diversity combiner （DC） used in advance of equalizer. Both combiner and adaptive DFE are based on FOLMS adaptation algorithm. This results in reduced computation complexity and better performance. （3） Cascaded equalizer and Turbo-Trellis Coded Modulation （TCM） decoder and the iteration algorithm. A new bitsymbol converter based on Soft Output Viterbi Algorithm （SOVA） is studied. Comparing with the traditional decision, coding and mapping algorithm, the new converter can reduce Bit Error Rate（BER） by nearly 2 orders. Part 2 is mainly around a robust image compression algorithm. Based on Discrete wavelet transform and fixed length coding, a robust compression algorithm for acoustic image is studied. The algorithm includes 4 technical points. （1） Utilizes CDF9/7 wavelet bases to transform the images. （2） Analyses the energy distribution of subband coefficients. Suitable transformation layer number is 3. （3） Applies different quantization steps to different subbands in accordance with their energy distribution. （4） Uses fixed length coding to prevent error propagation. The results show the algorithm achieves a balance among image quality, compression rate, and most important, robustness to BER. The compressed bit rate of gray scale acoustic image is 0.85 bit/pixel. Image quality remains good when BER is lower than 10^-3. There are some small dirty points when BER rises to 10^-2. Based on the signal processing techniques above mentioned, an underwater acoustic commumcation system is built. Its operational frequency band is （7.5-12.5） kHz. Its receiving array is an 8 elements uniform linear array. QPSK and 8PSK modulation and iteration algorithm for cascaded equalizer and 1-Turbo-TCM decoder based on hard SOVA are used. The system has been tested in Qiandao Lake. Low BER is achieved in 5.5 km range when data rate is 10 kbps. One gray scale image can be transmitted in 7 s. The product of its communication distance and data rate is 55 km kbps.     

Two-dimensional Otsu's thresholding segmentation method based on grid box filter

Otsu algorithm, an automatic thresholding method, is widely used in classic image segmentation applications. In this paper, a novel two-dimensional (2D) Otsu thresholding algorithm based on local grid box filter is proposed. In our method, firstly by utilizing the coarse-to-fine idea, the 2D histogram is divided into regions by grid technique, and each region is used as a point to form a new 2D histogram, to which 2D Otsu thresholding algorithm and an improved particle swarm optimization (PSO) algorithm are applied to get the region number of the new 2D histogram threshold. Then on the result region, the mean of the 2D histogram is computed base on box filter, and the two algorithms are applied again to obtain the final threshold for the original image. Experimental results on real data show that the proposed algorithm gets better segmentation results than the traditional recursion Otsu algorithm. It significantly reduces the time of segmentation process and simultaneously has the higher segmentation accuracy.     

基于伪魏格纳分布分解的合成孔径雷达图像目标与阴影分割

在二维魏格纳分布的框架内,针对魏格纳变换的交叉项问题和计算量大的问题,提出了合成孔径雷达图像局部伪魏格纳变换的目标和目标阴影的分割方法.首先,将合成孔径雷达图像进行二维伪魏格纳变换,得到各像素点的二维能量谱图|然后提取各像素点的二维能量谱图对应位置值形成多个不同频段的与原图像同大小的能量谱图|最后,对不同频段的能量谱图采用不同的处理方法后,将各能量谱图相加处理后形成区域标识图像,最终得到原图像的目标和目标阴影分割图像.本文利用该方法对MSTAR切片图像进行了分割试验,并对分割图像与频谱最大值距离或方位分割算法和基于双参量CFAR与隐马尔科夫联合分割算法进行了分割图像对比度对比.实验结果表明,采用本文算法的合成孔径雷达分割图像,对比度明显提高,且保留了目标图像细节.     

波束形成与独立分量分析融合的宽带高分辨方位估计方法

针对波束域高分辨方位估计存在方位估计偏差大等缺点,提出了将波束形成与独立分量分析融合的宽带高分辨方位估计方法:(1)阵元域数据转换到波束域后,对多波束数据利用基于二阶统计量的独立分量分析算法处理,(2)将波束域独立分量分析融合方法输出结果重构回阵元域信号,(3)对重构后的阵元域数据,使用约束最优化方法改进的MUSIC算法做高分辨方位估计。最后利用ICS (Interactre Circuts&System)声呐模拟器数据和海试数据对算法进行了验证。结果表明:本文方法在弱目标检测、观测区域外强干扰抑制、方位分辨率方面都优先于波束域MUSIC和波束MVDR方法。      

用于多阶光盘游长检测的PRML系统

对用于多阶光盘游长检测的部分响应最大似然（PRML）检测器的设计和实现进行了详细研究。分析了多阶光盘的编码形式,并将编码进行简化以减小维特比检测器的路径数和运算复杂度。为了提高PR均衡器和维特比检测器的性能,分析了目标PR多项式系数和记忆长度的选择。阐述了多阶光盘游长识别的维特比算法,对算法进行仿真,分析了维特比算法的识别效果,并与与传统识别算法的效果进行了比较。     

双层PLS算法及其在近红外光谱分析中的应用

针对近红外光谱数据局部效应显著,变量个数多,且彼此间常存在严重的复共线性,并与样品组分含量呈非线性关系,构建了一种双层非线性偏最小二乘回归 (DNPLSR)算法。它将非线性回归和偏最小二 乘(PLS)相结合,先在外层由PLS从样本数据中提取成分,并实现每对成分间的非线性映射,再在内层实施PLS算法,将外层因变量成分的拟合误差反馈计算转换权向量的增量,进一步修正转换权向量,以使外层所提取的成分对因变量具有更优的解释能力。最后,将该法应用于80个谷物样品的水组分含量与其近红外光谱的定量关系建模,效果良好,显示出很强的学习能力,所建模型的预报性能也优于其他方法。     

Three-dimensional image authentication using binarized images in double random phase integral imaging

We proposed a three-dimensional(3D) image authentication method using binarized phase images in double random phase integral imaging(InI). Two-dimensional(2D) element images obtained from InI are encoded using a double random phase encryption(DRPE) algorithm. Only part of the phase information is used in the proposed method rather than using all of the amplitude and phase information, which can make the final data sparse and beneficial to data compression, storage, and transmission. Experimental results verified the method and successfully proved the developed 3D authentication process using a nonlinear cross correlation method.     

基于灰度投影改进的电子稳像

针对灰度投影算法运用于存在局部运动目标的情况下,稳像效果较差并且可能产生错稳这一问题,在分析灰度投影基本理论的基础上,提出一种改进的灰度投影算法:局部运动物体位置估计方法和像素替代法。利用灰度值的改变和像素替代的方法,把局部运动物体去除,再进行稳像处理。通过实验验证,该方法可以解决图像中存在运动物体时发生的错稳情况。比较改进前与改进后的稳像效果,改进后的PSRN（峰值信噪比）提高了1.35。     

Optical 3D watermark based digital image watermarking for telemedicine

Region of interest (ROI) of a medical image is an area including important diagnostic information and must be stored without any distortion. This algorithm for application of watermarking technique for non-ROI of the medical image preserving ROI. The paper presents a 3D watermark based medical image watermarking scheme. In this paper, a 3D watermark object is first decomposed into 2D elemental image array (EIA) by a lenslet array, and then the 2D elemental image array data is embedded into the host image. The watermark extraction process is an inverse process of embedding. The extracted EIA through the computational integral imaging reconstruction (CIIR) technique, the 3D watermark can be reconstructed. Because the EIA is composed of a number of elemental images possesses their own perspectives of a 3D watermark object. Even though the embedded watermark data badly damaged, the 3D virtual watermark can be successfully reconstructed. Furthermore, using CAT with various rule number parameters, it is possible to get many channels for embedding. So our method can recover the weak point having only one transform plane in traditional watermarking methods. The effectiveness of the proposed watermarking scheme is demonstrated with the aid of experimental results.     

二维随机粗糙面上导体目标复合瞬态散射的混合算法

提出用时域积分方程法(TDIE)与时域基尔霍夫近似法(TDKA)的混合算法来求解二维导体随机粗糙面及其上方二维导体目标的复合瞬态散射,推导出了在TM波入射情形下显式及隐式格式的时间步进方程.将粗糙面与目标分别进行TDKA和TDIE计算,并考虑目标与粗糙面之间的耦合,对TDKA和TDIE进行混合迭代,既大大降低了粗糙面求解的复杂度,又保证了计算精度.数值算例中,考虑了角反射器(开放体)和圆柱(封闭体)两种目标,分别计算了目标表面电流响应和电场远场响应.计算结果表明,和单纯TDIE法相比,本文混合方法计算效率 关键词： 随机粗糙面 复合瞬态散射 时域积分方程法和时域基尔霍夫近似法 混合算法     

基于偏最小二乘法判别分析与随机森林算法的牛肝菌种类鉴别

牛肝菌作为一种著名的野生食用菌,具有较高的食用价值和经济价值.牛肝菌种类繁多,不易区分,建立一种有效、快速、可信的种类鉴别技术,可为牛肝菌提高品质提供一种方法.本研究采集云南不同地区7种野生牛肝菌共计683株,获取样品中红外光谱和紫外光谱,分析不同种类牛肝菌平均光谱图特征.基于多种预处理组合(SNV+SG,2D+MSC...     

基于自衍射效应的自参考光谱干涉方法的研究

研究一种基于非线性透明光学介质中的自衍射和自参考光谱干涉的新方法来进行飞秒激光脉冲测量. 实验中, 基于此新方法设计一种简单装置, 对800 nm 中心波长, 约40 fs 近无啁啾飞秒激光脉冲进行测量, 并与自参考光谱相干电场重建法测量结果进行比较, 得到了一致的结果. 此新方法与相应的装置结构简单, 可以对深紫外到中红外光谱范围的飞秒脉冲进行测量. 关键词： 飞秒激光脉冲 自参考光谱干涉 自衍射 脉冲测量     

Quantum walk search algorithm for multi-objective searching with iteration auto-controlling on hypercube

Shenvi et al. have proposed a quantum algorithm based on quantum walking called Shenvi-Kempe-Whaley (SKW) algorithm, but this search algorithm can only search one target state and use a specific search target state vector. Therefore, when there are more than two target nodes in the search space, the algorithm has certain limitations. Even though a multi-objective SKW search algorithm was proposed later, when the number of target nodes is more than two, the SKW search algorithm cannot be mapped to the same quotient graph. In addition, the calculation of the optimal target state depends on the number of target states m. In previous studies, quantum computing and testing algorithms were used to solve this problem. But these solutions require more Oracle calls and cannot get a high accuracy rate. Therefore, to solve the above problems, we improve the multi-target quantum walk search algorithm, and construct a controllable quantum walk search algorithm under the condition of unknown number of target states. By dividing the Hilbert space into multiple subspaces, the accuracy of the search algorithm is improved from p_c=(1/2)-O(1/n) to p_c=1-O(1/n). And by adding detection gate phase, the algorithm can stop when the amplitude of the target state becomes the maximum for the first time, and the algorithm can always maintain the optimal number of iterations, so as to reduce the number of unnecessary iterations in the algorithm process and make the number of iterations reach $ t_{\rm f}=(\pi /2)\sqrt{2^{n-2}} $.     

Fast reconstruction of multiple off-axis holograms based on a combination of complex encoding and digital spatial multiplexing

An algorithm is proposed for the fast reconstruction of off-axis digital holograms based on a combination of complex encoding(CE) and spatial multiplexing(SM). In this algorithm, every two off-axis holograms recorded in sequence are first assembled into a CE hologram using the CE method, and then four of the CE holograms are again encoded into one complex spatial multiplexing(CSM) hologram based on the SM algorithm. It is demonstrated that the eight holograms encoded into such one CSM hologram can be quickly reconstructed by performing a two-dimensional(2D) Fourier transform(FT) on the CSM hologram. Using this method, the eight 2D FTs required for the reconstruction of the eight holograms in the conventional spatial filtering methods can be simplified to a process with only one 2D FT, which can largely improve the computation efficiency with the