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bssalgorithm
- 自己编写的，盲源分离算法仿真分析系统（图形界面）又名：独立分量分析；算法种类：自然梯度算法、投影自然梯度算法、FastICA、SOBI、NJD非正交联合对角化。信号种类： MASK：2ASK，4ASK，8ASK MPSK：2PSK、4PSK、8PSK MFSK：2FSK、4FSK、8FSK 分连续相位CPFSK和离散相位DPFSK两种 MQAM：16QAM、32QAM、64QAM、128QAM OFDM：子载波数可任意选定，映射方式有BPSK、QPSK、4QAM、16QAM、
LIS3LV02DQ_SPI
- 侧加速度，LIS3三维加速度传感器的信号分离-www.pudn.com
extr_onesrc2
- 基于稀疏分解的单个信号盲分离，从多个混合信号中，提取出我们需要的信号-Sparse decomposition based on a single blind signal separation, from the number of mixed-signal, we need to extract the signal
bbs-SNR_Max
- 基于最大信噪比的盲源分离算法，源信号为混沌信号。-Based on the maximum signal to noise ratio Blind source separation algorithm, the source signal for the chaotic signal.
jade
- 盲分离算法,处理语音信号，方法简单，实用！-bbs
myobject
- 实现盲源分离的简单应用的一个程序、能处理2，3个源信号的分离工作、-It s a program about BSS
TFBSSpack
- TFBSS是一种基于短时傅里叶时频分析的盲源分离算法，算法基于卷积混合。处理非平稳源信号。-TFBSS performs Blind Source Separation of (over)determined multiplicative mixtures of non-stationary real valued sources. TFBSS is based on the joint-diagonalization of whitened and noise-compensated
cyclicJadeAndSobi
- 配合使用可以实现基于循环平稳信号的盲源分离。使用JADE和SOBI算法。自己编的-BSS based on cyclostationarity
sourcesignals
- 自己设计的4路循环平稳和平稳信号的混合信号。循环平稳信号由EIT测量产生。可用于检测设计的基于循环平稳的盲源分离算法是否有效的仿真信号-source signals containing both cyclostationary and stationary ones
PAST
- 经典PAST算法，实现信号盲分离，有详细的代码和解释，-Classic PAST algorithm, achieving blind signal separation, a detailed code and explanation
FastICA
- FastICA独立分量分离，应用于音频信号分离。-realize the separation of music signal。
cubica34
- 该算法以全局最优的方式实现盲源分离，程序调用说明：x为观测信号，y为估计信号-The global optimization algorithm to achieve blind source separation approach, the program calls Descr iption: x for the observed signal, y is estimated signals
maxkurtica
- 一种新的基于峭度的盲源分离开关算法。程序调用说明：该算法程序调用格式为[y,w]=bksa(x),其中x是一个n*T的数据矩阵，y是估计出的源信号矩阵，w是n*n分离矩阵。-A new kurtosis-based switch algorithm for blind source separation. Program calls Note: The algorithm program calls the format [y, w] = bksa (x), where n* T x is a
blindsignal
- 研究盲信号的盲分离原仿真程序，其中有一个是应用ICA的-Of blind signal separation from the original simulation program, one of which is the application of ICA,
BSS_Demo4SP_20Mar2k5
- 一个盲源分离的GUI界面，本程序可完成语音信号的独立分量分析。-A blind source separation GUI interface, this program can be completed independent component analysis of speech signals.
BSS
- 盲源分离算法的几篇文章应用 【基于独立分量分析的脑电中眼电伪迹消除】【基于负熵和智能优化的盲源分离方法】【基于小波消噪和盲源分离的信号奇异点检测方法】-Blind source separation algorithm applied 【several articles based on independent component analysis of EEG ocular artifact】 【intelligent optimization based on negative entr
mangxinhaoyuyinfenli
- 这是一些有关语音信号盲分离方面的外国文献，很有参考价值！该文献言简意赅，容易理解！-These are the blind separation of speech signals of foreign literature, a good reference! The literature concise, easy to understand!
ICAforspeech
- 几路语音信号的盲源分离，采用FDICA，有图形化界面，特别适合中级学者-Several road blind source separation of speech signals, using FDICA, a graphical interface, especially for intermediate and scholars
signal_analysis6
- 时钟信号噪声分析，能把一个带噪声的信号分离为相位噪声谱和信号功率谱，同时能将高频分量分离出来。-Expounded a spectrum analysis software with graphics user interface which developed by Visual C++ 6.0, then used the software to give a dynamic display of the spectrum about jitter data which provided b
Max_SNR
- 自己写的关于信噪比最大化的信号盲分离算法例子，希望对大家有用-Write about the signal to noise ratio maximization algorithm for blind signal separation example, we hope to be useful