ADIS

mucic和espric算法在估计偏差，成功概率，估计方差图形中的比较。(mucic and espric bias in the estimation algorithm, the probability of success, estimated variance graph comparison.)

VITERBI AND (4,3,2)SOFT-DECODIING

分数阶傅立叶变换，chirp信号分解型实现分数阶傅立叶变换(Fractional Fourier transform, chirp signal decomposition-type realization of fractional Fourier transform)

matlab file for image processing

说明：  C’est avec un grand plaisir que je remercie M Fran&ccedil ois Costa, M Jean Luc Schanen et M Faouzi Ben Ammar qui ont accepté de faire partie de mon jury de thèse. Des remerciements aussi chaleureux vont à mes collègues du CEGELY avec qui j’ai partagé ces années de travail, je pense à tout(e)s les doctorant(e)s ainsi qu’au personnel permanent (la liste est longue et je suis s&ucirc r qu’ils vont se reconna&icirc tre facilement). Je réserve la fin de mes remerciements à ma famille pour leur soutien quotidien.

一种基于《The Discrete Fractional Cosine and Sine Transforms》分数阶傅立叶变换程序(Fractional fourier transform based on <<The Discrete Fractional Cosine and Sine Transforms>>)

MATLAB在时间序列建模预测及程序代码(MATLAB time series modeling and forecasting and program code)

Kmeans clustering algorithme

通过极坐标变换获得图像的中心投影曲线，然后利用傅里叶变换获得图像的不变特征，从而实现对发生形变的物体的识别。(Polar coordinates to obtain the image through the center of projection curve, and then Fourier transform to obtain images of the same features, enabling the identification of objects deformation occurred.)

In point set analysis, it is useful to compare 2 sets of points by computing the distance between each possible point pair. For example, this is a required step in the ICP point set registration algorithm. MATLAB s built in function for computing the distance matrix is pdist2. This function does the same thing, but also returns an angle matrix, which is the angle defined by each possible point pair. The limitations of this function are that it only computes the Euclidean distance and it only works in 2D. This function is useful for excluding hypotheses that don t match distance and orientation constraints for object detection in computer vision.