信源

连续信源与无记忆Gaussian信源的比较及若干强偏差定理

The Comparison Between Continuous Information Source and Memoryless Gaussian Information Source and Some Strong Deviation Theorems

通过分析Shannon信息的认知特性及本质，讨论了信源存在条件及分类。

By analyzing the cognition characteristic and essence of Shannon informa-tion , the existence condition and classification of information source are discussed .

信源数目过估计和欠估计下MUSIC算法分析

Performance Analysis of the MUSIC Algorithm Under the Over-or Under-Estimation of Source Number Condition

基于IP信源模型的数据包丢失分析的研究

Study of IP Packet Loss Analysis Based on Source Model

信源定位方案中基于Bloomfilter存储的概率日志记录方法研究

Study of Probabilistic Logging Based on Bloom Filter for Source Tracing

基于迭代结构和MS估计的信源信道联合解码

Joint Source-Channel Decoding Based on Iterative Structure and MS Estimation

基于均匀圆阵相干信源DOA估计的改进MUSIC算法

DOA Estimation of Coherent Signals Based on UCA with Improved MUSIC Algorithm

该方法将N个用户的信源信号在发送端采用线性变换进行联合编码后送入N个独立信道进行传送。

Signals from the N users are encoded jointly using a linear transform and then transmitted with N independent channels .

具有开-关通信源的ATM网络信元丢失分析

Cell Loss Analysis Based ATM Networks of On-Off Traffic Source

面向IP网络，讨论了一种信源编码的失真估计模型，并用典型的视频编码器作了验证。

A model of source distortion for video transmission over IP network is discussed and verified by two typical video encoders .

一种高分辨稳定的相干信源DOA估计

A New Coherent Sources DOA Estimation With High Resolution and Stability

基于以上的限制与缺陷，该文提出了一种基于模糊c均值聚类的信源个数检测方法。

To overcome these drawbacks , an effective , accurate , robust detection method of the number of sources is proposed using the fuzzy-c-means clustering algorithm .

相关噪声背景下相干信源DOA估计算法研究

DOA estimation algorithm for coherent signals under correlated noise

文章对ATM环境下的主要业务信源进行了归类，主要分为5类：语音业务（Audio）、数据（Data）、传真（Fax）、图像（Image）和视频业务（Video）。

The information sources under ATM environment are classified into five categories , namely voice , data , fax , image and video services .

最后研究了信源相位噪声（均匀分布、高斯分布）对双基地SAR成像的影响；

Finally , influence of the signal source phase noise error is discussed , including uniform distribution and gaussian distribution .

面向HDTV信源集成解码芯片的软硬件协同设计研究

Harware / Software Codesign Research on Hdtv Integrated Source Decoder Chip

一种未知信源数的高分辨DOA估计算法

Algorithm on high resolution DOA estimation under condition of unknown number of signal sources

信源数目欠估计、过估计对DOA估计精度的影响

Impact of Source Number Estimator on DOA Accuracy

全数字化HDTV传输系统图像信源编码的研究

A Research on Video Source Coding Scheme for All-Digital HDTV Transmission System

UWB信源低复杂度频域TOA估计

Low complexity frequency domain TOA estimation for UWB sources

首先使用采样数据协方差矩阵的幂（Power）获得噪声子空间的估计，然后对噪声子空间进行OR分解并使用R矩阵估计信源个数，提出了无特征分解的信源个数检测算法&SDWED算法。

Firstly , the estimation of noise subspace is obtained by the power of covariance matrix and a novel source number detection method without eigen-decomposition is proposed based on QR decomposition .

利用信号non-circular特性的信源个数检测算法

Detection of number of sources via exploitation of non-circular property

基于同类信源共虚通道的CAC方案

A Scheme of CAC Based on Homogeneous Sources Sharing a Virtual Path

该文提出了一种用于提高MPEG-4码流在噪声信道下的抗误码性能的联合信源信道编码方法。

A new robust joint source channel coding method for MPEG-4 video over noisy channel is proposed .

HDTV信源编码中的自适应处理

Adaptive processing in digital HDTV source coding

基于IFS分形理论的信源编码技术的研究

A Study of IFS Fractal Based Source Coding Techniques

提出了一种预测股市行情的新指标&信源熵，结合小波分析和MATLAB工具来分析预测股票的未来走势。

A novel index called message entropy is proposed to predict stock . Combine wavelets analysis and Matlab tools , message entropy is used to predict stock .

针对信源数未知下DOA估计提出了一种基于MUSIC的DOA与信源联合估计方法。

For DOA estimation without the source number known , a joint estimation of DOAs and source number based on MUSIC is considered .

基于IP信源on/off模型对单一IP业务源的数据包生成特性演绎得出了多业务源的IP数据包生成特性模型；

This paper , based on on / off source model , analyses the IP packet generation characteristics for single source , and develops the model for multiple sources .

这种音视频同步算法已经成功地应用于作者研制的高清晰度电视（HDTV）信源解码功能样机中。

This audio video synchronisation algorithm is successfully adopted in the HDTV source decoder functional prototype .