EMD1

基于matlab 的fsk传输系统的仿真程序 包括性能分析,误差计算等(The fsk transmission system based on matlab simulation program, including performance analysis, error calculation)

mobile multipath fading channel empirical model HATA model for vehicular, pedastarian and urban/suburban demographic

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.)

Synthetic aperture radar imaging provides high resolution images of large areas. The intensities of pixels in a SAR image are based on the spatial orientation, roughness, and dielectric constant of the surface imaged. SAR is an active sensor, transmitting its own energy, and then measuring the return scattered by the earth抯 surface back to the satellite抯 antenna. SAR processing is the transformation of raw SAR signal data into a spatial image. In this communication, we present a contribution concerning implementation of a SAR image formation with the IDL language. This process is performed in a frequency domain correlation of the received signal including range compression, range migration, and azimuth compression. The output is the final step in which the data is transposed back into its original format and written to an output file.

含分布式电源的半不变量法概率潮流计算程序(Probabilistic Power Flow Computing Program Based on Semi-invariant Method)

fisher线性鉴别分析的人脸识别，在ORL库上实验，可在其他库上运行(fisher linear discriminant analysis for face recognition, in the ORL database on the test can be run on other database)

这个程序的功能主要是完成对输入二进制信号序列的QPSK和8PSK调制与解调。(This program is the simulation of QPSK and 8PSK modulation and demodulation.)

wavelet edge detecter as a matlab source

手写体数字识别的例子，含处理图片和matlab程序，自己编写的，可以实现的。(Examples of handwritten numeral recognition, include image and matlab program ， writing it by myself, and it can be achieved.)

传统的kmeans聚类算法不能保证时间序列聚类结果的时序性；基于warp-kmeans聚类算法可以有效处理时间序列的聚类问题，而且复杂度低，迭代次数少。 ，输出有目标函数在每次迭代后的值，聚类中心以及聚类区间。内有测试数据和相关文献，点击 test.m 可以完美运行(The traditional kmeans clustering algorithm can not guarantee the time series of the time series clustering results. The warp-kmeans clustering algorithm can effectively deal with the clustering problem of time series, and the complexity is low, and the number of iterations is less. The output has the value of the target function after each iteration, the clustering center and the clustering interval. There are test data and related documents, click test.m can be perfect operation.)