Capon_Algorithm

Hough transform for line detection. (very fast and easy solution). written by : Ebaadat Ghanbari Parmehr. Nov.21.2004. University of Tehran. Faculty of Engineering. Surveying and Geomatics Department. Photogrammetry Devision.

comparision of motion estimation results for 7 popular fast block searching algorithm

matlab的一些波束形成的算法 多种方法。。(the matlab the beamforming algorithm a variety of methods. .)

this is matlab souce code with commication subject. it is good for others.

通信原理实验中的均匀和非均匀的pcm两种编码方式,附有详细的说明.(communication principle experiment uniform and non-uniform both PCM encoding, with detailed explanations.)

Matlab与C接口技术（两本pdf书籍，感觉很不错的），希望对大家有帮助(Matlab and C interface technology (two pdf books, I feel very good), we want to help)

Smple code using Nvidia programs prunted in pdf file

Wavelet denoising For using this code need to use signal toolbox and general toolbox in your matlab In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size 512 by 512 and then generate noisy image by adding a Gaussian noise but under the condition of having SNR=20dB by select the suitable value of variance for Gaussian noise formula. Second step is performing wavelet denoising using the hard thresholding (Use the db 6 for four levels) in the condition of finding the optimal thresholding value of T in terms of the SNR obtained. It means that, we should find the highest SNR value by finding the suitable value for threshold. Then we asked to do the same process but this time using soft thresholding. Finally for the last part of question one, we should compare the results of the obtained SNR with the recommendations of 3*sigma for the hard thresholding and 3/2*sigma for the soft thresholding.

胡广书《数字信号处理-理论，算法和实现》第二版光盘内容，覆盖所有章节课后习题内容(Hu Guang book " Digital Signal Processing- theory, algorithms and implementation," Second Edition CD-ROM content, covering all sections of the content of after-school exercise)

this code is implementaion for A Level Set Method for Image Segmentation in the Presence of intensity Inhomogeneities With Application to MRI. I used this code and it has a trus answer