自适应格型预测语音子带编码

提出了一种自适应格型预测子带编码的语音编码方法。该方法在输入语音作子带分解的基础上，用自适应格型预测的方法对低频子带进行编码，用矢量量化的方法对高频子带进行编码，在相同码率的情况下，提高了编码的量化信噪比，改善了重建语音的质量。     

R(G)=-1图的伴随唯一性

用R（G）表示G的特征标，本文证明了若干类R（G）＝－1且p（G）≥q（G）的伴随唯一性。     

泛欧GSM 13kb／s RPE—LTP编译码算法探讨

作者在文章中探讨了数字移动通信标准中的一种优选编码方案－ＧＳＭ １３ｋｂ／ｓ ＲＰＥ－ＬＴＰ编译码方案，又着重研究其算法，计算反射系数的协方差斜格算法和自相关法窗函数的选取。该方案用Ｃ程序实现且采用实际录制的语言与正弦信号进行测试，性能与原方案基本相同。最后用ＴＭＳ３２０Ｃ２５高性能硬件仿真实现。     

基于混合编码框架的H.264/AVC核心新技术

介绍了H.264独有的特点,包括帧内预测、整数余弦变换、二进制自适应算术编码、概念性网络适配、多种块尺寸运动搜索、1/8像素运动估计精度等。     

高空核电磁脉冲模拟波形的双指数函数拟合法

 许多标准和公开出版物中都用双指数函数描述高空核电磁脉冲典型波形。通过数值方法，研究了双指数函数一项重要的性质。根据该性质，详细讨论了高空核电磁脉冲模拟波形数值拟合中，双指数函数特征参数与脉冲峰值、前沿、后沿以及半宽等物理参数的关系，从而提出一种简单有效的脉冲参数计算方法。通过IEC标准中规定的高空核电磁脉冲参数的估计与一个实测高空核电磁脉冲模拟波形的数值拟合，验证了该方法的有效性和可靠性。该方法能够适应多种峰值、前沿和半宽的高宽核电磁脉冲模拟波形的数值拟合。     

A Preprocessing Perspective for Quantum Machine Learning Classification Advantage in Finance Using NISQ Algorithms

Quantum Machine Learning (QML) has not yet demonstrated extensively and clearly its advantages compared to the classical machine learning approach. So far, there are only specific cases where some quantum-inspired techniques have achieved small incremental advantages, and a few experimental cases in hybrid quantum computing are promising, considering a mid-term future (not taking into account the achievements purely associated with optimization using quantum-classical algorithms). The current quantum computers are noisy and have few qubits to test, making it difficult to demonstrate the current and potential quantum advantage of QML methods. This study shows that we can achieve better classical encoding and performance of quantum classifiers by using Linear Discriminant Analysis (LDA) during the data preprocessing step. As a result, the Variational Quantum Algorithm (VQA) shows a gain of performance in balanced accuracy with the LDA technique and outperforms baseline classical classifiers.     

Fast Fractal Image Encoding Using an Improved Search Scheme

As fractal image encoding algorithms can yield high-resolution reconstructed images at very high compression ratio, and therefore, have a great potential for improving the efficiency of image storage and image transmission. However, the baseline fractal encoding algorithm requires a great deal of time to complete the best matching search between the range and domain blocks, which greatly limits practical applications of the algorithm. In order to solve this problem, a necessary condition of the best matching search based on an image feature is proposed in this paper. The proposed method can reduce the search space significantly and excludes the most inappropriate domain blocks for each range block before carrying out the best matching search. Experimental results show that the proposed algorithm can produce good quality reconstructed images and requires much less time than the baseline encoding algorithm. Specifically, the new algorithm can speed up encoding by about 85 times with a loss of just 3 dB in the peak signal to noise ratio (PSNR), and yields compression ratios close to 34.     

Implementation of Fault-Tolerant Encoding Circuit Based on Stabilizer Implementation and “Flag” Bits in Steane Code

Quantum error correction (QEC) is an effective way to overcome quantum noise and de-coherence, meanwhile the fault tolerance of the encoding circuit, syndrome measurement circuit, and logical gate realization circuit must be ensured so as to achieve reliable quantum computing. Steane code is one of the most famous codes, proposed in 1996, however, the classical encoding circuit based on stabilizer implementation is not fault-tolerant. In this paper, we propose a method to design a fault-tolerant encoding circuit for Calderbank-Shor-Steane (CSS) code based on stabilizer implementation and “flag” bits. We use the Steane code as an example to depict in detail the fault-tolerant encoding circuit design process including the logical operation implementation, the stabilizer implementation, and the “flag” qubits design. The simulation results show that assuming only one quantum gate will be wrong with a certain probability p, the classical encoding circuit will have logic errors proportional to p; our proposed circuit is fault-tolerant as with the help of the “flag” bits, all types of errors in the encoding process can be accurately and uniquely determined, the errors can be fixed. If all the gates will be wrong with a certain probability p, which is the actual situation, the proposed encoding circuit will also be wrong with a certain probability, but its error rate has been reduced greatly from p to p2 compared with the original circuit. This encoding circuit design process can be extended to other CSS codes to improve the correctness of the encoding circuit.     

单细胞核酸编码扩增成像分析

单细胞成像可在单细胞水平观测目标物位置、 确定目标物含量, 在生命科学与临床医学研究领域应用广泛. 核酸编码扩增技术利用特定分子反应将待测目标识别转化为核酸条码的扩增, 具有探针种类多、 易编程、 反应条件温和及信号放大效率高等特点, 在单细胞低丰度、 高灵敏、 多目标物成像中优势显著, 为理解细胞状态、 探索生命过程提供了新思路. 本文综合评述了核酸编码扩增在单细胞荧光成像领域的研究进展, 以目标物的编码方式为分类依据, 系统阐述了固定细胞原位成像和活细胞成像中不同目标物编码与扩增成像方式的区别, 并对活细胞成像中多重检测面临的问题以及未来发展前景进行了展望.     

光学编码成像术中光源稳定性研究

针对光学编码成像的光源强度随时间波动对编码成像结果的影响,研究了编码机制对光源光强变化响应的表现,发现了阿达玛变换光学系统对光源强度波动的特异敏感性规律:像元强度改变量与光源光强波动量成比例;一个编码周期内光源光强的多次波动导致像元强度改变量按次累加但并不导致发散;各次源强度波动对像场强度改变量的分布具有循环性.采用数值模拟方法计算了与1×7阵列像场对应的7阶S矩阵编码成像,结果表明光源光强随时间的变化对编码成像质量有严重影响.指出了在编码成像系统中所用的光源的不稳定性应该受到的限制.