搜索资源列表
ICALABSPv2_2
- Matlab盲信号分离很有用的工具,是做信号分离的好帮手
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、
ica_cdma
- 程序对盲信号分离空时多用户检测器的仿真 ,但在程序中A用了随机矩阵,而没有用空时阵列中的阵列响应矩阵-Blind signal separation program space-time multiuser detector simulation, but in the process with a random matrix A, but not with an empty array when the array response matrix
fenli
- 盲信号分离的matlab程序,处理四个随机信号,并将FASTICA算法和PCA算法解混后的信号对比-Blind Signal Separation in Matlab procedures, handling four random signals, and contrast the FASTICA algorithm and PCA algorithm for mixed signal
jade
- 实现语音信号盲分离的JADE算法的matlab程序。-Blind separation algorithm JADE.
infomaxlw
- 语音信号盲分离的信息最大化分离算法的matlab程序实现。-Information to maximize the separation of voice signal blind separation algorithm matlab program.
mangfenli
- 语音信号处理中,语音盲分离的源程序,实现效果较好-Speech signal processing, the voice blind source separation, better
ICA
- 利用独立成分分析ICA实现信号的盲源分离-Use ICA to implement Blind Source Separation
MIMO_ICA
- 基于独立成分分析(ICA)的盲源分离,对MIMO进行信号检测。在信道条件未知的情况下将两路信号分离(Blind source separation based on independent component analysis (ICA) is used to detect MIMO signals. Two channel signals are separated in the case of unknown channel conditions)