LTE_UL_SISO(HITCRC2012)

this directory consist of simplify fuzzy artmap network m filse

图像分割的GVF模型的MATLAB源代码，在gvf_v5.zip中，另有经典snake模型的代码(Image segmentation of GVF model of MATLAB source code, in GVF v5. Zip, another classic snake model code)

说明：  matlab实现数字调频与解调，并进行结果显示。(matlab digital FM demodulation, and display the results.)

云搜索优化算法，是一种新兴的群智能优化算法。可以下载，改进。(cloud search optimization algorithm)

智能天线matlab仿真源程序，用于算法的研究(smart antenna simulation)

说明：  例程，用于功能测试。如程序有错请大家指出.(Routine for function testing. If there is any mistake in the procedure, please point out)

利用差分法求解热传导方程，然后用matlab编程解差分方程(Heat conduction equation)

This file is the programs of (chapter 2) of book (Modeling the Wireless Propagation Channel a Simulation Approach with MATLAB) which is related to shadowing effects. It helps you to simulate wireless shadowing effects.

The following Matlab project contains the source code and Matlab examples used for continuous wavelet transform and inverse.

In computer science and information theory, data compression, source coding,[1] or bit-rate reduction involves encoding information using fewer bits than the original representation. Compression can be either be lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by identifying marginally important information and removing it. The process of reducing the size of a data file is popularly referred to as data compression, although its formal name is source coding (coding done at the source of the data, before it is stored or transmitted).