multirate

采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波(MATLAB using the function affected by noise interference filter2 images mean filter P0308: Image Adaptive Weiner Filter)

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.)

boost变换器是一种DCDC升压装置，使用及其广泛，而且性能稳定。该matlab仿真模型是电压模式控制下的boost变换器模型，保持输出电压稳定。该模型应用simulink仿真。效果挺好。(Boost converter is a kind of DCDC booster device, use and wide, and stable performance. The matlab simulation model is under the control of voltage mode boost converter model, keep the output voltage stability. )

FASTICA算法，快速不动点，新的迭代公式,运行良好(FASTICA algorithm, fast fixed point, a new iterative formula, running well)

清华大学数学实验之插值与拟合幻灯片与MAT源码(Tsinghua University, Experimental Math slides of interpolation and fitting with the MAT-source)

说明：  混沌时序多步预测函数 chen函数的matlab仿真，非常有用，连续的非线性函数(Multi-step prediction of chaotic time series function chen function matlab simulation, very useful, continuous nonlinear function)

程序的功能是用海明窗设计低通滤波器，性能指标为wp=0.2pi，ws=0.3pi(The program s function is Hamming window low-pass filter, performance indicators, wp = 0.2pi ws = 0.3pi)

求解约束优化，非线性最小二乘优化，线性优化，整数规划，二次规划等最优化问题(Solving constrained optimization, nonlinear least squares optimization, linear optimization, integer programming, quadratic programming and other optimization problems)

电力系统的潮流计算 其中的方法是牛顿拉夫逊算法(Power flow calculation method which is the Newton Raphson algorithm )

计算故障诊断振动信号的时频域特征，得到特征向量(Calculating the Time-Frequency Domain Characteristics of Vibration Signals in Fault Diagnosis)