DDS的雷达杂波信号模拟系统的研究

介绍了雷达杂波信号的建模与仿真原理，给出了一个基于直接数字频率合成的雷达杂波信号模拟系统的设计实例，该系统采用丁软硬件相结合形式，能灵活生成包括地杂波、海杂波、云雨杂波、箔条杂波在内的多种信号波形的雷达杂波回波信号。     

The measurement of gastric motor function and transit in man by echo planar magnetic resonance imaging

Echo-planar imaging (EPI) can be used to produce snapshot images of the human stomach and antro-pyloro-duodenal segment in real time as an alternative technique to intubation and exposure to ionizing radiation. The method has been further developed to monitor simultaneous gastric motility and gastric emptying of liquid and solid meals. The model has been utilized to study the effects of pharmacological agents on gastric function.Eight normal subjects were imaged in a 0.5-T superconducting magnet for up to 6 h following ingestion of 800 ml tap water, followed by 500 ml porridge test meal + 500 ml tap water. A rapid multislice technique was adopted to image adjacent transverse slices (10 mm thick) through the gastric region. In addition, three subjects were orally dosed with 20 mg of the prokinetic agent Cisapride. Gastric volumes for each slice were calculated and summed to produce a measure of total gastric volume and gastric emptying. Contractile activity at the level of the antro-pyloric segment was detected using sequential 128 ms images at 3 s intervals. Alternate measurements of gastric volume and motility were made for the duration of the study.Gastric emptyingT _1/2's (times to empty 50% of the gastric contents) of 12.9 min for water and 116 min for porridge were in agreement with results obtained by the traditional techniques of gamma scintigraphy and impedance imaging. The frequency of gastric contractions increased from 2.4 contractions per minute (cpm) to 3.2 cpm following water and from 2.9 to 3.2 cpm following porridge. The prokinetic effect of enhanced coordination of antroduodenal contractions was also observed. These studies have demonstrated that EPI can be used to detect and image gastroduodenal function in man, totally noninvasively, and can be used to study the effects of drugs acting on the gastrointestinal tract.     

射频放大器互调失真检测和载波抵消的研究

采用高功率射频信号内部互调失真的包络特性检测与比较技术,对射频功率带外信号进行检测和估计。设计用于高功率射频放大器前馈技术线性化的一个带外信号检测器。探讨如何进行射频载波抵消以及检测放大器互调失真信号。     

基于参考模型的自适应话音处理

本文讨论了一种带有参考通道的自适应话音消噪滤波器原理，该滤波器采用最小均方差(心幅)算法。将此滤波器应用于复杂噪音背景的话音信号提取，能很好地抑制背景噪声，从而获得清晰的话音信号。     

自适应回声对消的初期迭代统计学模型及改进算法

为减少滤波器长度,提出自适应滤波算法初期迭代统计学模型及改进的回声消除算法。提出的统计学模型分析了自适应算法迭代初期滤波器各系数的均值和方差。基于该模型提出的改进算法,先检测回声路径峰值,进而确定回声路径延时,然后以延时为中心,用一个短的滤波器辨识原回声路径活跃系数部分。用实际回声路径进行仿真,理论和实验结果均表明,新算法在迭代的前75～100步已可准确检测回声路径峰值并确定延时;而减少滤波器长度,可大幅提高自适应算法收敛速度并降低算法计算复杂度。     

一种频率估计的倍频等长信号加权融合算法

提出一种新型加权融合算法.首先,根据倍频等长信号间频率的倍数生成倍频修正矩阵,对倍频等长信号频谱进行同频化处理,使之达到同频等长信号频谱的分析效果.然后,针对倍频等长信号的相位不连续问题,设计具有相位连续特性和噪声对消特性的相位补偿矩阵,对同频化的倍频等长信号频谱进行加权融合,使之近似达到与倍频等长信号长度相同的相位连续信号频谱的分析效果.最后,通过谱峰搜索加权融合频谱获得高精度的频率估计值.算法分析与仿真实验表明:与现有方法相比,本算法精度较高,计算量较小,抗噪性强,普适性好.     

基于Turbo码的OFDM-IDMA系统干扰消除算法

基于交织多址系统,通过分析串行干扰消除和并行干扰消除两种方式的结构特点和纠错性能,结合两者优势,给出适用于OFDM-IDMA技术的串并结合干扰消除方式。通过构建等效的信道传输模型,在Turbo编码和OFDM条件下,将串并结合干扰消除方式与传统串行干扰消除方式进行性能对比。仿真结果表明,采用串并结合干扰消除技术的OFDM-IDMA系统,能够以较少的纠错性能损失为代价实现低时延多用户通信的目的。     

Stock Price Forecasting: An Echo State Network Approach

Forecasting stock prices using deep learning models suffers from problems such as low accuracy, slow convergence, and complex network structures. This study developed an echo state network (ESN) model to mitigate such problems. We compared our ESN with a long short-term memory (LSTM) network by forecasting the stock data of Kweichow Moutai, a leading enterprise in China’s liquor industry. By analyzing data for 120, 240, and 300 days, we generated forecast data for the next 40, 80, and 100 days, respectively, using both ESN and LSTM. In terms of accuracy, ESN had the unique advantage of capturing nonlinear data. Mean absolute error (MAE) was used to present the accuracy results. The MAEs of the data forecast by ESN were 0.024, 0.024, and 0.025, which were, respectively, 0.065, 0.007, and 0.009 less than those of LSTM. In terms of convergence, ESN has a reservoir state-space structure, which makes it perform faster than other models. Root-mean-square error (RMSE) was used to present the convergence time. In our experiment, the RMSEs of ESN were 0.22, 0.27, and 0.26, which were, respectively, 0.08, 0.01, and 0.12 less than those of LSTM. In terms of network structure, ESN consists only of input, reservoir, and output spaces, making it a much simpler model than the others. The proposed ESN was found to be an effective model that, compared to others, converges faster, forecasts more accurately, and builds time-series analyses more easily.     

基于FPGA的雷达状态参数采集系统设计与实现

为使雷达回波模拟系统能够逼真地模拟真实作战环境,有效地对雷达各分系统进行测试,提出了雷达状态参数采集电路的设计方案,并给出了其软硬件实现;该方案以FPGA为核心,解决了不同状态参数的实时性采集问题,并通过制定串行传输协议,避免了数据传输过程中的冲突,保证了各状态参数传输的准确性,输出接口采用LVDS标准接口,确保了各状态参数的高速长距离传输;实验结果表明,该系统工作稳定,能够准确、实时地采集并传输雷达状态参数,且便于与其他数字电路的集成,满足系统设计的要求。