FEC

it describes the detection technique of canny edge detection algorithm.

We present a study of a matrix pencil method for esti- mating parameters (frequencies and damping factors) of exponentially damped and/or undamped sinusoids in noise. Comparison of this method to a polynomial method (SVD-Prony method) shows that the matrix pencil method and the polynomial method are two special cases of a matrix prediction approach but the pencil method is more efficient in computation and less restrictive about signal poles. It is found through perturbation analysis and simulation that, for signals with un- known damping factors, the pencil method is less sensitive to noise than the polynomial method. In Appendix A, a new expression of the Cra- mer-Ran bound for the exponential signals is presented.

认知无线电中频谱感知的实现问题，这是一篇英文文献，里面很详细的论述了频谱感知中遇到的问题，特别是在能量感知中的问题，适合刚开始研究频谱感知的爱好者或者研究者学习。(The issue of spectrum sensing in CR, before simulation, you must know the theory of sensing and test statistics.)

通过matalb实现语音信号的处理，完成预加重、加窗函数、端点检测及生成处理后语音样本(Achieved by processing the speech signal matalb, complete the pre-emphasis, windowing function, voice activity detection and generation after sample processing)

信号处理技术源代码系列5，版权为原作者所有，使用者与原作者联系。(Signal processing technology source code Series 5, the copyright for the original author of all, the user contact with the original author.)

Generate a great circle "trajectory" from [lat1,lon1] to [lat2, lon2]. ％ Resulting points will be seperated by approximately delta_ft feet. ％ By default, delta_ft = 100 feet. All lat/lon inputs & outputs are in ％ degrees. (Generate a great circle trajectory from [lat1, lon1] to [lat2, lon2]. Resulting points will be seperated by approximately delta_ft feet. By default, delta_ft = 100 feet. All lat/lon inputs )

简单计算DBR的matlab文件，计算激光器的分布反馈(the caculation of DBR in lase of ditributed feedback reflector)

L obstacle caméra à franchir ou à contourner

一个基于Matlab的人工免疫算法，不错的东西，希望大家多多交流，相互提高(An artificial immune algorithm based on Matlab, good things, and hope that more exchanges with each other to improve)

dipum_images_ch08 matlab教程(dipum_images_ch08 matlab tutorial)