LSZ422

it just show the different type of signals and their matlab codes

matlab对一幅图像，采用半径值为20、80、200的截止频率进行理想低通滤波，观察其结果。要求给出原图像及相应的付利叶频谱图和滤波结果(For an image, using the radius value of the cutoff frequency 20,80,200 ideal low-pass filter to observe the results. Required to give the original image and the corresponding Fourier spectrum and filtering results)

说明：  统计学的一些简单的小程序,希望大家可以帮忙改以下(statistically small number of simple procedures in the hope that we can help with the following)

Iterative Feedback Tuning of PID parameters: comparison with classical tuning rules

Matlab FSK Demodulator

ac and dc power transmissions. No alterations of conductors, insulator strings, and towers of the original line are needed

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations

支票印鉴图的彩色图像分割，在处理过程中选取感兴趣的颜色（红色）进行分割(Check seal map image segmentation, are interested in the process, select the color (red) were divided)

This package contains a beta MATLAB version of the VSNR function from the paper "VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio for Natural Images," D. M. Chandler and S. S. Hemami, published in the IEEE Transactions on Image Processing, September 2007.

Matlab的关于EMD的几篇文章 谱和主成份分析用于EMD分解研究；基于EMD方法的混沌时间序列预测(Matlab several articles on EMD and principal component analysis for spectral decomposition of EMD EMD-based method of chaotic time series prediction)