FACCH

清华大学胡广书教授的《现代数字信号处理教程》的源程序。学信号处理或通信专业的都知道，胡广书教授在业界是赫赫有名的，读他的书，再读这些程序，你能深刻理解现代信号处理的精华，并会应用。(Tsinghua University Professor Hu Guangshu the modern digital signal processing tutorial, the source. Learning signal processing or communications professionals are aware, Professor Hu Guangshu is known in the industry, reading his books, read these procedures, you can deeply understand the essence of modern signal processing and application.)

盲源分离EASI算法，一种简单的盲源分离算法，容易实现(Blind source separation of EASI)

用于产生线性调频信号，在时频分析中非常常用(used to proceed linear-time frequency modulated signal, it is very uesful in signal porcessing)

关于matlab的书籍，对初学者有启示作用，入门教程，对专业人员也有帮助(On the matlab books, has enlightening for beginners, Tutorial on the professional staff has helped)

This Toolset comprises of the following files: 1) RunTutorial.m Runs and publish in html format the Tutorial.m file. 2) Tutorial.m A quick reference tutorial for the DE_TCR algorithm. 3) DE_TCRparam.m Generates the required parameters to run the DE_TCR algorithm. 4) DE_TCR.m Runs the optimization algorithm. This code implements a version of the DE_TCR algorithm described in: G. Reynoso J. Sanchis X. Blasco Juan M. Herrero. Hybrid DE Algorithm With Adaptive Crossover Operator For Solving Real-World Numerical Optimization Problems. In IEEE Congress on Evolutionary Computation. CEC 2011. (ISBN 978-1-4244-7833-0). New Orleans (USA). June 2011. 5) LocalSearch.m Runs the Local search routine. 6) CostFuntion.m The cost function to optimize

參考文獻「Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering」 Clustering-based Sparse Representation 的 matlab代碼(「Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering」and Clustering-based Sparse Representation matlab code.)

matlab file for script logging. can plot file

用matlab产生仿真BPSK信号，并对BPSK信号采用FFT进行频谱分析。(Simulation of BPSK signals generated by matlab, and BPSK signals using FFT spectral analysis.)

3D姿态识别的adaboost代码，使用matlab语言编写(A Study of AdaBoost in 3D Gesture Recognition)

a good intro to synthetic aperture radar and algorithms to implement imaging in synthetic aperture radar are given.