ALOHA

该程序实现了二值图像的细化，处理效果较好，适用于初学者(The program achieved the binary image of the refinement, handling is better for beginners)

用于做网络控制系统方面的实时数据传输方面的仿真模型(spent network control systems in real-time transmission of data simulation model)

关于Matlab学习的教程，尤其适合初学者学习(Tutorial on Matlab to learn, especially for beginners to learn)

demo Optical communication in underwater spectrum

Texture Analysis Using DWT for Grape Plant Species Classification:- By observing leaf, we can easily identify plant but it is difficult to identify its species. In this project we developed an algorithm that gives user the ability to identify plant species based on photographs of the leaf. The core theme of this application is an algorithm that acquires statistical features of the leaves, and then classifies the species based on a novel combination of the computed texture feature analysis and wavelet analysis. While implementing this algorithm we have considered the Grape plant and its four species viz. Clone, Sonaka, Thomson and Manik. The algorithm is first trained against several samples of known plant species and then used to classify unknown query species. By using this algorithm we have achieved 93.33 efficiency

说明：  ARIMA 模型是在平稳的时间序列基础上建立起来的，因此时间序列的平稳性是建模的重要前提。检验时间序列模型平稳的方法一般采用 ADF 单位根检验模型去检验。当然如果时间序列不稳定，也可以通过一些操作去使得时间序列稳定（比如取对数，差分），然后进行 ARIMA 模型预测，得到稳定的时间序列的预测结果，然后对预测结果进行之前使序列稳定的操作的逆操作（取指数，差分的逆操作），就可以得到原始数据的预测结果。(time series prediction ARIMA)

比较LMS，RLS, 和Kalman滤波器多用户检测器的性能(LMS comparison, RLS, and the Kalman filter multi-user detector performance)

Its a project that embed and detect watermarked image by using Discrete Fourier Transform.

this is the code for factorial, fft, fftsine

应用了大量互相关检测算法从而得出了同步性能错检率的大小，比较适合刚学习同步算法的人去研究。(Application of a large cross-correlation detection algorithm to arrive at the synchronization performance of the error detection rate of size, more suitable for people just learning to study synchronization algorithm)