viterbi_decoder

ENFRN GRN toolbox: using a neuro-fuzzy algorithm to predict the gene regulatory network by matlab.

In this simulink model , baseband 8-ary PAM detection is simulated .A half-sine pulse shaped PAM signal is given as input to the detector.The received signal is matched filtered and down-sampled .The effects of symbol timing offset can be seen by varying the phase of down-sampling operation.The 8-ary PAM signal transmitted is recovered at the detector output.

前景检测程序，MATLAB实现，有背景差分，帧差法，混合高斯模型，光流法。(Foreground detection procedures, MATLAB, background difference, frame difference method, the gaussian mixture model and optical flow method.)

Cluster generator。 By using this application it is possible to generate the well-known atomic clusters like Mackay-Icosahedron, Marks- and Ino-decahedrons and also fcc- and bcc-clusters.(Cluster generator。)

各种调制方式的matlab源码bask.m, bfsk.m, bpsk.m, msk.asv, msk.m, qpsk.m, raymodel.m(various forms of Matlab modulation source bask.m, bfsk.m, bpsk.m. msk.asv, msk.m, qpsk.m, raymodel.m)

设计一个离散hopfield网络，实现联想记忆，以对模糊数字进行识别，判断。(design of a discrete hopfield network, associative memory, a pair of fuzzy figures for the recognition, judgment.)

to extarct features cephalogram lateral view for classification

cdma信号处理的matlab仿真，包括信号的编码和调制等流程(matlab cdma signal processing simulation, including encoding and modulation signal other processes)

由给定高斯线型半高全宽，与洛伦兹线型半高全宽，计算对应的归一化的Voigt线型。(use the FWHM of Gaussin profile and Lorentz profile to caculate the voigt profile which is normalized by energy.)

KMEANSK Performs K-means clustering given a list of feature vectors and k The argument k indicates the number of clusters you want the data to be divided into. data_vecs (N*R) is the set of R dimensional feature vectors for N data points. Each row in data_vecs gives the R dimensional vector for a single data point. Each column in data_vecs refers to values for a particular feature vector for all the N data points. The output data_idxs is a N*1 vector of integers telling which cluster number a particular data point belongs to. It also outputs centroids which is a k*R matrix, where each rows gives the vector for the cluster center. If we want to segment a color image i into 5 clusters using spacial and color information, we can use this function as follows: