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mode shapes of a shaft supported by fluid film bearing(this codes gives a good method to calculate the mode shapes of a shaft supported by fluid film bearing)

语音识别的完整流程描述代码，包含了识别的真个过程(A complete description of the process of speech recognition code, including a really a process of recognition)

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

matlab遗传算法，一个排课程序的例子(matlab genetic algorithm, a course scheduling program example)

MATLAB在光学中的应用。内容包括 衍射、干涉、传输、像差等(application of Matlab in optics. diffraction, transport,etc.)

频谱感知技术中的能量检测技术的程序代码仿真(Spectrum sensing technology in the energy detection code simulation)

用于lssvm（最小二乘支持向量机）的单序列拟合预测一个周期（12期）(Used in the LSSVM (least squares support vector machine) fitting to predict a single sequence cycle (12))

本程序按照胡广书《现代数字信号处理》书中的谱估计的内容仿真了各种经典谱估计方法以及现代谱估计方法（周期图法、BT法、welch法、自相关法、修正的协方差法、burg法），因为是课程作业，因此逻辑上写得十分简洁，适合初学者参考。(The program in accordance with the Hu-book of modern digital signal processing book spectral estimation simulation the various classical spectrum estimation methods, as well as the modern spectral estimation methods (periodogram, BT France, welch method, auto-correlation method, the modified covariance method , burg method), because the course work, so logically written very simple for beginners.)

说明：  在MATLAB平台上，编译自适应算法的M文件，进行系统仿真，并对滤波器的阶数、收敛步长、跟踪速度和稳态误差进行了详细的分析和研究。( On the MATLAB platform, the M file is written and system simulation experiment is put on. The main parameters such as number of filter exponent, step-size, track-speed, errors and so on are discussed, that provided a solid foundation for the hardware realization of adaptive filters.)

providing YBus for load flow