spectrum-estimation-

带挡板的平行板传输线二维FDTD仿真.给大家做个参考(Baffle with two-dimensional parallel-plate transmission line FDTD simulation. For everyone to be a reference )

采用中心旋转法来进行曲波变换，带有几个demos。方便的进行curvelet变换(Center of rotation method used to carry out curvelet transform, with a few demos. Convenient for curvelet transform)

基于Marginalized粒子滤波的卫星姿态估计算法。介绍了一种基于粒子滤波的全新的卫星姿态确定的算法，非常有借鉴意义(Marginalized particle filter based on the satellite attitude estimation algorithm. This paper presents a particle filter based on new satellite attitude determination algorithms, very referential significance)

说明：  在MATLAB中用共轭梯度法求解非线性函数的优化问题。(The conjugate gradient method is used to solve the optimization problem of nonlinear functions.)

The compiler for MATLAB6.5 (The compiler for MATLAB6.5)

快速傅里叶变换 (FFT) 实现，给定信号x(t)=sin(2πf0t)，f0=50Hz，对x(t)以fs=200Hz进行抽样，抽样点数为N=16。编写程序实现对x(n)的快速傅里叶变换，求得相应的X(K)。(Fast Fourier Transform (FFT) to achieve a given signal x (t) = sin (2πf0t), f0 = 50Hz, for x (t) with fs = 200Hz sampling, the sampling points is N = 16. Procedures for the preparation of x (n) of the fast Fourier transform, obtained by the corresponding X (K).)

基于matlab的SVM, gaussian_kernel 和polynomial_kernel(gaussian_kernel 和polynomial_kernel)

针对滚动轴承故障信号具有非平稳、非高斯的特点，提出了将时域分析与小波分析相结合的方法对滚动轴承进行故障诊断。在研究不同信号分析方法理论的基础上，以滚动轴承外圈故障振动信号为例，采用多种信号处理方法进行了分析。结果表明，各种分析方法在分析轴承故障时的特点各不相同，在实际使用中，可将时域分析与小波分析综合使用，实现轴承状态的实时监测与故障的准确定位。(For rolling bearing fault signals have non-stationary, non-Gaussian, we proposed the time-domain analysis and wavelet analysis method of combining the rolling element bearing fault diagnosis. In the study of different analytical methods based on the theory of signal to the outer ring rolling bearing fault vibration signal, for example, using a variety of signal processing methods are analyzed. The results show that a variety of analytical methods in the analysis of the characteristics of bearing failure vary, in actual use, can be time-domain analysis and synthesis using wavelet analysis, to achieve accurate positioning of the bearing condition monitoring and real-time fault.)

MATLAB CODE FOR DIGITAL IMAGE PROCESSING COURCE

MT-LSCMA智能天线波束形成盲自适应改进算法 不错的源码(MT- LSCMA blind adaptive beamforming smart antenna algorithm source code)