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- 盲源分离的好文章，可以帮助大家很好的了解超完备盲源分离-Blind Source Separation good article can help you a good understanding of overcomplete blind source separation
ocica97-p
- 盲源分离的好文章，可以帮助大家很好的了解超完备盲源分离-Blind Source Separation good article can help you a good understanding of overcomplete blind source separation
FSE
- 修正恒模算法分数间隔盲均衡:分数间隔均衡 ( F S E ) 能够降低对时间同步误差的敏感性。-Blind Equalization FSE CMA
ArtificialNeuralNetworksandBlindSignalProcessing.r
- 一本关于人工神经网络和盲信号处理的电子书，非常有用-A book on artificial neural networks and blind signal processing, e-books, very useful
sssss
- Blind Estimation of signal in Periodic Long-Code DSSS Communications
BlindSourceSepareating
- 基于盲源分离的地震资料去噪技术，对于做地震资料处理的人有帮助-Blind source separation based on seismic data denoising technique for processing seismic data do help people
xuexiziliao
- 基于盲源分离的信号噪声滤除的程序及算法详细介绍，基于盲源分离的信号噪声滤除的毕业设计-Detailed procedures and algorithms based on blind source separation of signal noise filtering, of graduation to filter based on blind source separation of the signal-to-noise design
equalizer_thesis
- THESIS BLIND EQUALIZATION ALGORITHM BY USING PARALLEL KALMAN FILTERING. COMBINING KALMAN FILTERING ALGORITHMS WITH HMM. INLUDE MATLAB SOURCE CODES.
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- 机械设备发生故障时, 故障特征的提取很重要。对于多通道的设备故障振动信号, 应用非平稳信号的盲源分离算法, 可以有效地提取各自独立的非平稳振动源,从而可以准确地进行机械故障诊断。针对不同时频分布的非平稳盲源分离算法, 比较了它们的分离效果。以转子的复合故障为例, 验证了该算法在故障诊断中可行性。-Machinery and equipment failure, the fault feature extraction is very important. Failure vibration si
a-bilnd-dection
- 基于子空间的盲多用户检测技术，里面包含PASTd算法和秩算法的介绍与计算。下面我会把自己的翻译也上传上来。-Subspace-based blind multi-user detection technology, which containing PASTd algorithm and rank algorithm describes calculation. I will own translation post it here.
a-bilnd-dection
- 基于子空间的盲多用户检测技术，里面包含PASTd算法和秩算法的介绍与计算。下面我会把自己的翻译也上传上来。-Subspace-based blind multi-user detection technology, which containing PASTd algorithm and rank algorithm describes calculation. I will own translation post it here.
FD-Pearson-ICA-in-BSS
- 一种新的频域盲源分离方法，用皮尔逊系统去模拟不同频率上的信号分布，通过信号特征，选择合适的皮尔逊类型的函数去优化分离矩阵，从实现盲源分离.-A new frequency-domain blind source separation method using the Pearson system to simulate a signal on a different frequency distribution, through the signal characteristics, selec
blind-spectrum
- It is a paper about how to detect spectrum through blind analysis. it contains the full descr iption aboout the algorithm and teh simulation results
SignalProcPCA
- Principal Component Analysis (PCA) is the general name for a technique which uses sophisticated underlying mathematical principles to transforms a number of possibly correlated variables into a smaller number of variables called principal compone
Study-on-compound-fault-diagnosis
- 针对滚动轴承复合故障信号特征难以分离的问题， 提出将双树复小波变换和独立分量分析( ICA) 结合的故障诊断方 法 该方法首先将非平稳的故障信号通过双树复小波变换分解为若干不同频带的分量 由于各个分量存在一定的频率混叠， 对 故障信号特征提取有很大的干扰， 进而引入 ICA 对各个分量所组成的混合信号进行盲源分离， 从而尽可能消除频率混叠 最后 对从混合信号中分离出来的独立分量信号进行希尔伯特包络解调， 即可实现对复合故障特征信息的分离和故障识别-Aiming at the diff
multirfid
- 提出两种基于盲源分离方法的标签防碰撞算法，解决标签密集的多天线RFID 系统中的标签碰撞问题。在一个确定的 时隙内， 当发射反向反馈信号的标签数目不超过阅读器天线的数目时， 这些标签可以通过盲源分离算法被阅读器成功识 别；信号，直到所有标签被成功识别出来。仿真结果表明，新算法能使得RFID 系统获得更加高效的吞吐率，能比基于ALOHA 的标签防碰撞算法具有更小的时耗，尤其是当标签数目较大时更加显著。-two tag anti－collision algorithms based on
Blind-deconvolution-program
- 基于最佳维纳滤波器的盲解卷积算法,包括算法原理，代码和实验结果！-Based on the best Wiener filter blind deconvolution algorithm, including the algorithm principle, code and experimental results!