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异步电机控制矢量控制中，需要磁链保持不变，根据电机的额定值计算磁链的额定值的程序代码，可以为电机控制的作为参考。(Induction motor control vector control, the need to maintain constant flux, flux is calculated according to the rating of the motor rated program code for motor control as a reference.)

it tells about nakagami channel

科学计算与MATLAB语言recommended，高阶matlab使用方法(Scientific Computing with MATLAB language recommended, high-end matlab use)

PID参数的整定就是合理的选择PID三参数。从系统的稳定性、响应速度，超调量和稳态精度等各方面考虑问题，三参数的作用如下：(PID parameter setting is the reasonable choice of three parameters of PID. From the system stability and response speed, overshoot and steady state accuracy and so on various aspects to consider problem, the role of the three parameters are as follows:)

说明：  旋转图像，平滑会出现的锯齿，例子和源代码(Rotate the image, smoothing jagged occur, examples and source code)

DBPSK transreceiver design model using simulink

％ Program from 移动传播环境-理论基础、分析方法和建模技术 杨大成编著 机械工业出版社 2003 ％ Program from pp.280~281 附录B 成形滤波法 ( Program from mobile broadcasting environment- the theoretical basis for analysis and modeling techniques edited by Yang Dacheng Machinery Industry Publishing House 2003 Program from pp.280 ~ 281 Appendix B forming filtering method)

设计一个8阶以内的带通滤波器，通带截止频率fc1=30070HZ，fc2=32170HZ，通带内允许最大衰减0.2dB。设计满足要求的Butterworth滤波器和chebyshev滤波器。以RC运放为基本单元以最易实现的原则完成电路设计及参数选择，并根据设计参数进行幅频特性和相频特性的仿真，给出仿真曲线。分析电路的无源灵敏度。(Design within an 8-order band-pass filter, the passband cutoff frequencies FC1 = 30070HZ, FC2 = 32170HZ allow maximum attenuation 0.2dB within the passband. Designed to meet the requirements of the Butterworth filter and chebyshev filter. RC op amp is the basic unit is the most easy to implement the principle of complete circuit design and parameter selection, and in accordance with the design parameters of the amplitude-frequency characteristics and phase-frequency characteristics of the simulation, simulation curve. Passive sensitivity of the analysis circuit.)

自己编写的RLS格型算法Matlab程序,供大家参考。(RLS algorithm, the performance is ok.)

独立向量分析（IVA）是对独立成分分析（ICA）算法的一种扩展，将ICA中的单变量成分扩展为多维变量成分，可有效避免卷积盲源分离过程中的排序模糊性问题。(Independent vector analysis (IVA), a multivariate extension of independent component analysis, tackles the convolutedly mixed blind source separation (BSS) problem in a way to avoid the permutation problem by employing a multivariate source prior of the short-time Fourier transform (STFT) components. )