Multi-modulus algorithmGivens and hyperbolic rotationsMIMO systemsThis paper targets the blind deconvolution problem for multiple-input multiple-output communication systems, using small and moderate constellat
Wavelet Frequency Domain Weighted Multi-modulus Blind Equalization Algorithm Based on Lower Order Statistics. Guo Jun,Guo Yecai,Xu Fang, et al. Informatics and Management Science III . 2013Guo Jun, Guo Ye-cai, and C. Qu, "Wavelet Hardware Switching Judgment Frequency Domain Weighted Multi-...
multimodulus algorithmreduced constellation algorithmsoft-constraint satisfactionIn this letter, a new multimodulus algorithm for blind equalization of complex communication channels is derived by solving a constrained optimization problem with relaxation. The intersymbol interference (ISI) optimization and phase...
The paper studies a new computer technology of access control,namely use the numerical algorithm of Multi-modulus system of linear equations,improved the Wu-Hwang\'s Key-Lock matching system. 研究一类新的计算机存取控制技术,即运用多模数线性同余方程组的数值解法改进了传统的W u与Hwang钥匙—锁配对法...
Stochastic Conjugate Gradient Based Multi-User Constant Modulus Algorithm for Use in Multiuser DS-CDMA EnvironmentArasaratnamP.ZhuS.ConstantinidesA.G.ingentaconnectGlobecom New York
多模盲均衡载波同步联合架构及分析 joint multi-modulus blind equalization and carrier recovery algorithm and its theoretic analysis.pdf,第30卷第6期 信号处理 V01.30No.6 2014年6月 JOURNALOFSIGNALPROCESSING Jun.2014 多模盲均衡载波同步联合架构及分析 杨
employing the radix-4 Booth encoding algorithm. In this paper, Booth encoding technique is applied to multi- modulus multiplication. Two newmulti-modulus multipliers for the moduli , and are proposed. The former uses the radix- Booth encoding scheme while the latter uses the radix- Booth encoding...
Each of the named property requires a special treatment that increases the computational complexity of an algorithm in comparison with ideally elastic isotropic media. At the same time, such formations are typically relatively small, filling about 25% of the model, thus the local use of ...
Then, the CHIO algorithm was utilized to optimize the MHEM, resulting in the development of the CHIO-MHEM model. Subsequently, one additional least squares linear regression (LSLR) model and six traditional machine learning models, including BPNN, SVR, DT, RF, XGBoost, MLP, and CNN, were ...
Finite element results of the predicted effective elastic properties of the neat epoxy, kaolinite inclusion and the EKC with ABAQUS-PYTHON-MATLAB based on RSA algorithm in the x-direction. The SSPDs across the neat epoxy, the kaolinite inclusion and the EKC can be seen in Figure 10. The ...