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介绍了解相干信号的MUSIC算法估计到达角的理论和仿真(Introduction coherent understanding of the MUSIC algorithm for signal DOA estimates of theoretical and simulation)

说明：  介绍了一种荃于MATLAB数字信号处理工具箱、MATLAB数据分析和MATLAB圈形对 象的时变数字信号瞬时频率枯计方法。这种方法利用时频分析结果来估计信号的麟时频率，其 中涉及时频分析、滤波、曲线拟合辞多种处理过程。处理过程的编程实现封较于用户界面上作 为文互工具的控件中，由用户通过交互界面逐步完成估计瞬时预率的工作.(Tsuen introduced a digital signal processing in the MATLAB toolbox, MATLAB and MATLAB data analysis of ring-shaped object digital signal time-varying instantaneous frequency of dry method. This method using the results of time-frequency analysis to estimate the signal frequency CHU, which involves time-frequency analysis, filtering, curve fitting a variety of speech processing. Programming process to achieve closure on the user interface than the text of each other as a control tool, by the user interface step by step through the completion of pre-estimated instantaneous rate of work.)

求系统的时域性能指标的函数，给定系统的数学模型，即可通过该函数计算系统的超调量、峰值时间、调整时间和上升时间，经测试非常好用。(system for the time-domain performance of the function, given the mathematical model, This function can be calculated by the overshoot, the peak time, adjusting time and rise time, the test is very handy.)

程序包涵利用边界元方法Boundary Element Method计算2维拉普拉斯方程Laplace Equation势流Potential Flow的所有程序

对高斯输出的hmm的源程序，对hmm的学习者有很大帮助

说明：  小波插值与小波基构造，实现均值插值和立方插值(Wavelet Interpolation and wavelet construction, the realization of the mean cubic interpolation and interpolation)

Automatic integration of functional differential equations: an approach, ACM TOMS, 1 (1975) 357-368.一文中的时滞微分方程求解程序。(Example 1 of K.W. Neves, Automatic integration of functional differential equations: an approach, ACM TOMS, 1 (1975) 357-368.)

双馈风力发电机组功率解耦控制系统，是已经建好的双馈风力发电系统模型(Double-fed wind turbine power decoupling control system)

小波包分析提取振动信号中的特征频率，构成不同频率的调制信号，matlab编写的元胞自动机。( Wavelet packet analysis to extract vibration signal characteristic frequency, Constituting the modulated signals of different frequencies, matlab prepared cellular automata.)

分形中轨线的最小李雅普诺夫指数的计算,讨论算法优化的文章(Fractal trajectory calculation of the smallest Lyapunov exponent, the article discussed Algorithm)