基于DSP的语音信号时域谐波压缩算法

主要讨论了一种将语音信号采样率从标准的8K/s降低到4K/s，同时保证64Kbit/s的数码率和良好的语义可识别性，从而使中低码率语音信号传输得以实现的语音压缩编码方案，实现了该方案涉及到的时域谐波压缩算法，并讨论了如何在DSK Plus上加以实现。     

An Electrocardiogram Signal Classification Algorithm Based on Improved Deep Residual Shrinkage Networks北大核心CSCD

心电信号分类是医疗保健领域的重要研究内容.针对大多数方法不能很好地降低样本数量少的类别漏诊率,以及降低预处理操作的复杂性问题,提出了一种基于改进深度残差收缩网络(IDRSN)的心电信号分类算法(即DRSL算法).首先,使用合成少数类过采样技术(SMOTE)扩充数量少的类别样本,从而解决了类不平衡问题;其次,利用改进深度残差收缩网络提取空间特征,其残差模块可以避免网络层加深造成的过拟合,压缩激励和软阈值化子网络可以提取重要局部特征并自动去除噪声;然后,通过长短期记忆网络(LSTM)提取时间特征;最后,利用全连接网络输出分类结果.在MIT-BIH心律失常数据集上的实验结果表明,该算法的分类性能优于IDRSN、DRSN、GAN+2DCNN、CNN+LSTM_ATTENTION、SE-CNN-LSTM分类算法.     

Chiral lateral optical force near plasmonic ring induced by Laguerre-Gaussian beam

Owing to the good adjustability and the strong near-field enhancement, surface plasmons are widely used in optical force trap, thus the optical force trap can achieve excellent performance. Here, we use the Laguerre-Gaussian beam and a plasmonic gold ring to separate enantiomers by the chiral optical force. Along with the radial optical force that traps the particles, there is also a chirality-sign-sensitive lateral force arising from the optical spin angular momentum, which is caused by the interaction between optical orbit angular momentum and gold ring structure. By selecting a specific incident wavelength, the strong angular scattering and non-chiral related azimuthal optical force can be suppressed. Thus the chiral related azimuthal optical force can induce an opposite orbital rotation of the trapped particles with chirality of different sign near the gold ring. This work proposes an effective approach for catchingand separating chiral enantiomers.     

Constrained radar waveform optimization for a cooperative radar-communication system

The coexistence of radar-sensing and communication systems research has received a surge of interest in recent times to tackle the issue of spectrum inadequacy. Designing an optimized radar waveform for a coexistence scenario has been a challenging task for accomplishing the convergence of radar-sensing and communication functionalities, without degrading the performance at either end. This paper proposes a novel global optimization-based Spatial Branch and Bound (SBnB) approach to optimize the phase coefficients of a Non-Linear Frequency Modulated (NLFM) waveform in a CRCS framework. In addition, the Modified-Power Ratio Constraint-Cramér–Rao Lower Bound (M-PRC-CRLB), a local optimization-based approach is proposed to optimize the phase coefficients of an NLFM waveform. The spectral energy distribution and auto-correlation characteristics of an NLFM waveform are comprehensively investigated for various values of polynomial order (N) and at different threshold Signal-to-Noise-Ratio (SNR) values. To compare the proposed waveform design approaches (M-PRC-CRLB, SBnB) with the existing waveform design approaches namely, Minimum Estimation Error Variance (MEEV) and PRC- CRLB, a Peak-to-Side-Lobe-Ratio (PSLR), and Integrated-Side-Lobe-Ratio (ISLR) are evaluated at various polynomial orders and threshold SNR values. Furthermore, the performance of a CRCS is assessed using the radar estimation rate and communication data rate. The simulation results reveal that the proposed optimized radar waveform design approaches provide improved performance compared to the existing radar waveform design approaches in terms of radar estimation rate. Further, the proposed global optimization-based SBnB approach achieves a comparable performance of the communication data rate. In addition, the proposed approaches accomplish enhanced spectral utilization, controlled side-lobe energy levels, reduced range-domain ambiguities, and a higher information rate in a CRCS.     

平稳小波在高精度重力仪信号处理中的应用

为有效地消除噪声对重力仪测量数据的影响,提高重力异常测量值的精度,在分析平稳小波多尺度分析原理的基础上,将平稳小波应用到重力仪数据处理中,并与传统小波多尺度分析进行了对比.理论分析和仿真实验表明,平稳小波和传统小波都能在一定程度上抑制噪声对高精度重力仪测量数据的影响,但平稳小波的性能优于传统小波.     

基于微机械陀螺的MIMU关键技术

针对基于微机械陀螺的MIMU关键技术，对其进行研究和解决。参加美国JDAM性能指标和导航精度要求，计算陀螺性能参数：采用多级大容量的滤波器及有源电流限制电路，同时电源的输入端接入EMC滤波器，以提高电磁兼容性，并能抵抗浪涌和拉偏的能力；DSP实现信号实时采集，采用高次多项式拟合预处理去除数据野值；根据GJB729评估方法，利用利用蒙特卡罗方法仿真进行精度评估；最后按照GJB813进行可靠性分析。     

振荡燃烧的动态测试及信息处理

作者用随机信息处理方法研究了某型火箭发动机的燃烧状况,不仅发现该型发动机存在有振荡燃烧,而且获得了振荡燃烧信息的功率谱及功率谱阵。针对振荡燃烧信息在时间域和频率域上的随机性特点,作者精心地设计了测试系统,并对系统的性能参数进行了全面标定。经多次实测证明该系统工作可靠,信噪比较高。测试与分析结果表明:该型发动机振荡燃烧的主振测率为800Hz,最大振幅为43dB;并存在有1600Hz和2500Hz两个次级振荡频率;而且该发动机的振荡燃烧是以纵向振荡为主。为研究该型火箭发动机振荡燃烧的产生原因和消除方法提供了科学依据。     

四轴稳定跟踪转台伺服控制系统的研究与实现

以四轴稳定跟踪伺服转台系统研制的实例出发，从系统总体结构，元、部件选型计算及控制系统的设计与实现等方面进行了详细介绍。针对系统难点，采用基于高速DSP控制器、以采样数字控制和信号滤波技术为基础的全闭环伺服控制方案。实验测试结果均达到了预先制定的设计指标和精度要求，表明了系统设计方案的实用性和有效性。     

三轴一体化光纤陀螺技术

为了实现光纤陀螺组合小型化、低成本和高精度,进行了三轴一体化光纤陀螺样机的研制。该样机包括光学表头和陀螺解算电路两部分,其中,三个安装在三维空间正交支架上的敏感线圈共用一个光源,并且和其它独立的光学器件组成光学表头。陀螺解算电路由一块FPGA芯片处理三路探测器输出信号,输出与角速度成正比的数字信号。与传统光纤陀螺组合相比,三轴一体化光纤陀螺的组合结构缩小60%,成本降低20%,功耗降低一倍,但制作工艺较复杂。经过测试,其性能和单轴陀螺相当。此项研究技术可广泛应用于对体积要求严格的战术型号上。