PS_ofdm_basic

我用matlab写的一个corner detector, 效果比现在流行的harris，susan，CSS等效果要好。 Algorithm is derived from: X.C. He and N.H.C. Yung, Curvature Scale Space Corner Detector with Adaptive Threshold and Dynamic Region of Support , Proceedings of the 17th International Conference on Pattern Recognition, 2:791-794, August 2004. Improved algorithm has been included in A Corner Detector based on Global and Local Curvature Properties and submitted to Optical Engineering. (err)

haar小波分析的类，只有头文件，输入为一个序列的信号，输出为haar小波分解后的各级参数(haar wavelet class)

说明：  包括遗传算法的各种运算（交叉，变异）的实例源程序代码(Various operations, including genetic algorithms (crossover and mutation) of the instance of the source code)

matlab使用程序教程，包括四部分：1-32是：图形应用篇；33-66是：界面设计篇；67-84是：图形处理篇；85-100是：数值分析篇(matlab tutorial to use the program, including the four-part :1-32 is: graphics applications, articles 33-66 is: interface design articles 67-84 is: graphics processing articles 85-100 are: Numerical Analysis Section)

antenna planar array can extant

时变通信系统的仿真，使两个例子的代码其所选信道为全同获平信道(Time-varying communication system simulation, so that two examples of the code of its selected channel with the agreed level for the whole channel)

Image Segmentation Using Iterative Watersheding algorithm and Ridge Detection technique for metallographic images.

example codes for pattern recongnition fourth edition

OFDM_Final_Report.pdf后面附有matlab程序，我猜想可能是老版本matlab，本人进行稍加改造，在matlab环境下打开ofdm.m，执行run即可。原文有两个程序，本人只改造了第一个，第二个仿照改造即可。(OFDM_Final_Report.pdf behind with Matlab procedures, I guess that may be old version Matlab, I conducted a little alteration, In Matlab ofdm.m open environment, the implementation can be run. Original are two procedures, I would only transform the first one, the second will be modeled on the transformation.)

Abstract—Several algorithms have been developed for tracking formant frequency trajectories of speech signals, however most of these algorithms are either not robust in real-life noise environments or are not suitable for real-time implementation. The algorithm presented in this paper obtains formant frequency estimates voiced segments of continuous speech by using a time-varying adaptive filterbank to track individual formant frequencies. The formant tracker incorporates an adaptive voicing detector and a gender detector for formant extraction continuous speech, for both male and female speakers. The algorithm has a low signal delay and provides smooth and accurate estimates for the first four formant frequencies at moderate and high signal-to-noise ratios. Thorough testing of the algorithm has shown that it is robust over a wide range of signal-to-noise ratios for various types of background noises.