搜索资源列表
bbsyanjiu
- 一种新型的基于盲源分离算法的研究资料内容-A new type of research data based on blind source separation
ICA
- 快速ICA盲源信号处理，在众多信号分离中分离效果较佳。可以自己做扩展。-Fast ICA blind source signal processing
ejiesobi
- 基于二阶统计量的SOBI算法，适用于盲源分离-SOBI algorithm based on second-order statistics for blind source separation
sparsemang1
- 稀疏分析用于处理欠定盲源分离问题，有英文注释-Sparse analysis dealing with underdetermined blind source separation, English Notes
sparsemang_delay_modify
- 稀疏分解算法用于欠定盲源分离，有英文注释-Sparse decomposition algorithm for underdetermined blind source separation, English Notes
xsssdp
- 基于稀疏分解的欠定盲源分离，要求信号具有一定的稀疏性。-Based on sparse decomposition due to blind source separation, the signal has a certain sparseness.
NpIca-v1.2
- 基于非参数概率密度估计的盲源分离算法（NpICA），使用matlab编程，有可视界面。-Non-parametric probability density estimation-based blind source separation algorithm (NpICA), using the Matlab programming, visual interface.
myfl
- 盲源分离的一个很好的例子，可以仿真出来用，稍微修改即可用到多处！-A good example of blind source separation, can be simulated to use, to modify slightly used at many points。
fast-ICA
- 对接收到得信号进行分离是信号处理过程中经常用到的，然而在完全不知道接受信号先验知识的情况下进行分离就是所谓的盲源分离，此程序就是重多盲源分离算法中比较重要的一种利用ICA算法实现跳频信号分离-Tthis is simple matlab code for EASI algorithm in TH-signal seperating algorithm
code
- 进行盲源分离,我已经进行验证了，真的很好用，而且功能很强大，很实用。-blind source separation
goodbook
- 里面介绍了很多小波分析、稀疏表示、盲源分离方面的书籍-Which introduced a lot of wavelet analysis, sparse representation and blind source separation of books
theme_blind_segrement
- 盲源分离在单通道语音增强算法中的应用(1).pdf-Blind source separation in single channel speech enhancement algorithm application (1). Pdf
fastkcica
- ICA盲源分离/数字信号非高斯性最大化、负熵最大化-fastica toolbox nmf kica
Goge1
- 盲源分离算法用于分离混合前后的信号，对盲源分离技术的研究有一定的帮助-Blind source separation algorithm is used to separate the mixed signals before and after the blind source separation technology research has some help
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
SparseRepresentationaItsApplication
- 稀疏表达及其应用的简单介绍，其中涵盖了稀疏表示、特征提取、压缩感知、图像增强、盲源分离、模式分类、目标跟踪和图像超分辨等。PPT和PDF是对应的，并添加了可视化的结果。-Sparse Representation and Its Application: Compressive Sensing, Visual Feature, Image Enhancement, Blind Source Separation, Pattern Classification, Object Tracking a
ica
- 盲源分离算法在RFID中的应用,提出将ICA应用于RFID的数据碰撞中 ，经过仿真，验证了其可行性。-application of ICA-based anti-collision algorithm in RFID system
PID-neural-network
- 这个工具箱描述了基于PID神经网络的后非线性盲源分离算法-The toolkit is described based on PID neural network nonlinear blind source separation algorithm
nonlinear-blind-source-separation
- 工具箱描述了基于神经网络的变速率非线性盲源分离ICA算法研究-Toolbox describes the nonlinear blind source separation based on neural network of variable rate ICA algorithm research
ant-colony-and-mutual-information
- 该工具箱描述了基于蚁群算法和互信息进行非线性盲源信号分离-The toolkit is described based on ant colony algorithm and mutual information of nonlinear blind source signal separation