kyssjuet

说明：  观察数据长度N的变化对DTFT分辨率的影响 这几个程序是老师写的 对于理解DTFT有很大帮助(Effect of observation data length N on DTFT resolution These programs are written by the teacher and are very helpful for understanding DTFT.)

说明：  用于二值图像的细化处理，开发环境为matlab，对图像处理便捷有效(For the refined binary image processing, development environment for matlab, convenient and effective for image processing)

this is turbocode encoder,decoder,sova algorithm

将信号进行ASK调制 并进行相干和非相干解调 比较误码率(ASK modulation of the signal and the comparison of coherent and incoherent demodulation BER)

SVC(Support Vector Clustering)ToolBox，支持向量聚类所需要数据文件，ring，作者为 daewon lee(dataset for SVC(Support Vector Clustering)ToolBox，ring，prosed by daewon lee)

这是我做的第一个gui,实现的功能是画各种函数图形，给各位初学gui的参考下。(my frist gui)

Semi-Coupled Dictionary Learning with Applications to Image Super-Resolution and Photo-Sketch Synthesis 文章算法实现(Semi-Coupled Dictionary Learning with Applications to Image Super-Resolution and Photo-Sketch Synthesis Algorithm article)

用来实现TD-SCDMA系统中turbo码的编译和其它附属功能(Used to implement TD-SCDMA system to compile turbo codes and other ancillary functions)

使用matlab编写的用wolf法求Lyapunov指数的算法程序 假近邻法(False Nearest NeighborFNN)计算嵌入维的Matlab程序 一类基于奇异值分解的Lyapunov指数计算方法(Matlab program using Matlab prepared wolf method and the Lyapunov exponent of the false nearest neighbor algorithm program (False Nearest NeighborFNN) calculation of the embedding dimension, Lyapunov exponent calculation method based on singular value decomposition)

最新、最全“高阶谱分析工具箱”，包括全部教程和DEMO.(There is much more information in a stochastic non-Gaussian or deterministic signal than is conveyed by its autocorrelation and power spectrum. Higher-order spectra which are defined in terms of the higher-order moments or cumulants of a signal, contain this additional information. The Higher-Order Spectral Analysis (HOSA) Toolbox provides comprehensive higher-order spectral analysis capabilities for signal processing applications. The toolbox is an excellent resource for the advanced researcher and the practicing engineer, as well as the novice student who wants to learn about concepts and algorithms in statistical signal processing. The HOSA Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for the estimation of cross- and auto-cumulants (including correlations), spectra and olyspectra,bispectrum, and bicoherence, and omputation of time-frequency distributions. Based on these, algorithms for parametric and non-parametric blin)