image-restoration

HDB3码的MATLAB程序，经典，记得保留(HDB3 code MATLAB programs, classic, remember to retain)

区间数计算，岩土沉降预测，matlab编程，变权重计算(Interval calculations, geotechnical settlement prediction, matlab programming, variable weight calculation)

Radar Systems Analysis and Design Using MatLab 一本比较好的雷达系统仿真教材(Radar Systems Analysis and Design Using Ma tLab a better radar system simulation materials)

IOTA prototype filter design for FBMC

用matlab进行图像处理程序，可对图像进行对比度、灰度处理。(Matlab image processing procedure, but the image contrast, gray processing. )

comp_snr.m总体和节段SNR，comp_wss.m加权频谱斜率度量，omp_llr.m似然比测量，comp_is.m板仓斋藤措施，comp_cep.m倒谱距离测量，addnoise_asl.m 基于活动语音水平以指定的SNR将噪声添加到干净的信号 (comp_snr.m Overall and segmental SNR，comp_wss.m Weighted-spectral slope metric，comp_llr.m Likelihood-ratio measure ，comp_is.m Itakura-Saito measure，comp_cep.m Cepstral distance measure，addnoise_asl.m Adds noise to the clean signal at specified SNR based on active speech level. )

吴恩达教授有关深度学习浅显易懂的算法介绍，包括基础算法和示例。(Deep learning algorithms introduction by Andrew Ng.)

实现三种经典的阈值去噪算法,包括全局阈值，hersure阈值，minimaxi阈值，及比尔热马萨特阈值。(to realize three methods of threshold-denoising )

This is the demo file for Rhors counter example: adaptive control for system with unmodeled dynamics, which show the lack of robustness of the traditional MRAC. DoSims.m: This script initializes the model parameters, run the simulation, and plot all the results automatically. L1Model_Rohrs.mdl:the implementation of L1 adaptive controller. MracModel_Rohrs.mdl: the implementation of the traditional MRAC. Refer to the following papers for background: C.E. Rohrs, L. Valavani, M. Athans, and G. Stein, "Stability Problems of Adaptive Control Algorithms in the Pressence of Unmodeled Dynamics", 21st Conference on Decision and Control, Dec 1982. Enric Xargay, Naira Hovakimyan and Chengyu Cao, "Benchmark Problems of Adaptive Control Revisited by L1 Adaptive Control", International Symposium on Intelligent Control and 17th Mediterranean Conference on Control and Automation, Thessaloniki, Greece, June 24-26, 2009, pp. 31-36.

非常适合计算机视觉方面的研究使用,小波包分析提取振动信号中的特征频率，用MATLAB实现动态聚类或迭代自组织数据分析。( Very suitable for the study using computer vision, Wavelet packet analysis to extract vibration signal characteristic frequency, Using MATLAB dynamic clustering or iterative self-organizing data analysis.)