c10_MCQPSKrun

经典书籍MIMO Signals And Systems的源代码(Classic books MIMO Signals And Systems source code)

电动助力转向系统SIMULINK模型（附加整车模型）(SIMULINK model of electric power steering system (additional vehicle model))

This paper investigates the generalized Pars ’s theorem of fractional Fourier transform (FRFT) for concentrated data. Also, in the framework of multiple FRFT domains, Pars ’s theorem reduces to an inequality with lower and upper bounds associated with FRFT parameters, named as generalized Pars ’s theorem by us. These results theoretically provide potential valuable applications in filtering, and examples of filtering for LFM signals in FRFT domains are demonstrated to support the derived conclusions

蚁群算法在求解连续空间优化问题中的应用研究(Ant colony algorithm in continuous space optimization problem solving in applied research)

support vector classification machine ％ soft margin ％ uses "kernel.m" ％ ％ xtrain: (Ltrain,N) with Ltrain: number of points N: dimension ％ ytrain: (Ltrain,1) containing class labels (-1 or +1) ％ xrun: (Lrun,N) with Lrun: number of points N: dimension ％ atrain: alpha coefficients (from svcm_train on xtrain and ytrain) ％ btrain: offest coefficient (from svcm_train on xtrain and ytrain) ％ ％ ypred: predicted y (Lrun,1) containing class labels (-1 or +1) ％ margin: (signed) separation from the separating hyperplane (Lrun,1(support vector machine classification% s oft margin% uses "kernel.m"%% xtrain : (Ltrain, N) with Ltrain : number of points N : % ytrain dimension : (Ltrain. 1) containing class labels (-1 or 1)% xrun : (Lrun, N) with Lrun : number of points N : % atrain dimension : alpha coefficients (from svcm_train on xtrain and ytrain)% btrain : offest coefficient (from svcm_train on xtrain and ytrain)%% ypred : predicted y (Lrun. 1) containing class labels (-1 or 1)% margin : (signed) separation from the separating hyper plane (Lrun, 1)

electrical engineering

说明：  关于信号输入均匀量化器的信号幅度，用MATLAB实现量化过程(Uniform quantizer on the input signal amplitude, using MATLAB to quantify the process of achieving)

用Matlab语言实现通信系统的采样与量化功能(Communication systems using Matlab language sampling and quantization function)

ASK,PSK调试，不是书上常见的调制方法。实用原信号序列延拓后得到。(ASK,PSK modulation, but not regular method seen in kinds of testbooks.)

具有反馈的BP神经网络Matlab实现，可用于预测。(With feedback of BP neural networks realize Matlab can be used for prediction.)