wavelet_denoise

SIMULINK仿真实现BPSK在莱斯衰落+AWGN信道中的调制与解调，并分析了误码率和星座图等等参数。(SIMULINK simulation of BPSK in Rician Fading realize+ AWGN channel modulation and demodulation, and analyzes the bit error rate and constellation parameters and so on.)

说明：  通过MATLAB的仿真 完成了异步电机自然制动的仿真过程(Completed by MATLAB simulation of induction motor simulation of natural brake)

matlab 复杂网络小世界网络模型原matlab程序(Matlab complex network small world network model of the original matlab program)

说明：  弦位法的计算程序，通过它可以近似在特定区间中的根(String with the calculating process can be approximated by its roots in a specific interval)

计算单个球型粒子的的粒子光强分布，对比不同折射率条件下粒子的光强分布(A particle for calculating a single spherical particle of light intensity distribution)

说明：  数字信号处理对于信号的基本matlab运算操作，有助于理解信号(The basic matlab operation of digital signal processing is helpful to understand the signal)

利用matlab程序实现列主元的高斯消去法。(using Matlab program out of the main yuan Gaussian Elimination Act.)

复杂网络的MATLAB仿真算法，包括多种复杂网络模型和统计算法，如WS,BA等模型的生成算法，度分布，聚类系数计算方法等。(MATLAB simulation algorithm for complex network)

说明：  模型预测电流控制其控制思想基于以下原理：首先，功率变换器产生的开关状态个数有限，且通过建立模型可以预测每一个开关状态下被控变量的对应变化特性；其次，定义价值函数评价被控变量的预测值，为判别最优有限开关状态提供依据；最后，计算出每一种开关状态下的价值函数值，以此评价每一种开关状态下被控变量预测值的优劣，选择出最优的开关状态并应用。(The control idea of model predictive current control is based on the following principles: firstly, the number of switching states produced by power converter is limited, and the strain characteristics of controlled variables under each switching state can be predicted by establishing a model; secondly, the value function is defined to evaluate the predicted values of controlled variables, which provides a basis for judging the optimal finite switching state; lastly, the optimal finite switching state is calculated. The value function value under switching state is used to evaluate the predicted value of controlled variables under each switching state, and the optimal switching state is selected and applied.)

Objective Systems Open H.323 for C (ooh323c) is a simple H.323 protocol stack developed in C. The ASN.1 PER messaging code was developed using the ASN1C compiler using a modified version of our core run-time libraries. Additional open source components as well as code developed in-house were added to produce a functioning stack.