| 1. | Blind source separation : classificaiton and frontiers
盲信号分离研究分类与展望 |
| 2. | Blind source separation based on optimally selected estimating functions
基于选优估计函数的盲信号分离 |
| 3. | Image watermark detection and extraction based on blind source separation
基于盲信号分离的数字水印检测与提取 |
| 4. | A blind source separation algorithm by using time - frequency signal analysis
一种基于时频分析的盲信号分离算法 |
| 5. | On real - time speech blind signal separation based on time delay estimation and beamforming
基于时延估计波束形成预处理的实时语音盲信号分离研究 |
| 6. | Based on the ica analytical method , the theories and some efficient methods of blind source separation ( bss ) are studied
基于独立分量分析( ica )方法研究了盲信号分离的基本理论和部分有效方法。 |
| 7. | 3 . the traffic sign recognition and digital watermarking based blind source separation technique has been demonstrated on this paper
( 3 )论文对盲信号分离技术在模式识别以及信号处理方面的应用研究进行了探讨。 |
| 8. | Bss have an active functioning impelled on not only the signal processing researching but also the development of neural network ’ s theory
盲信号分离不仅对信号处理的研究而且也对神经网络理论的发展起到积极的推动作用。 |
| 9. | 1 、 the basic theories of adbf and bss are introduced . firstly the theories of adbf are introduced . then the adbf after composing subarray is researched
论文主要包括以下四部分内容: 1 、简单介绍了自适应波束形成和盲信号分离的基本理论。 |
| 10. | The independent component analysis ( ica ) is a branch of the blind source separation , which has become an important part in signal processing and data analysis
盲信号分离在信号处理领域中日益显示出其重要性,而独立分量分析是其中的重要组成部分。 |
