WaveDecNlayer

说明：  MATLAB通信系统随机数产生mfiles，均匀、瑞利、高斯随机数发生器(Communication systems random number generator MATLAB mfiles, uniform, Rayleigh, Gaussian random number generator)

说明：  有关MATLAB边缘检测源代码，我自己的毕业设计程序，大家共同分享(MATLAB source code for the edge detection, my own graduate design program, we share)

DS-CDMA 通信系统的仿真，其中的信道为瑞丽衰落信道(Simulation program to realize DS-CDMA system)

利用小波分析对图像进行二级分解和重构的Matlab代码，带有中文注释，包括哈尔小波、上/下采样子函数(Using wavelet analysis to the image of the secondary decomposition and reconstruction of the Matlab code, with Chinese translations, including the Haar wavelet, up/down sampling Functions)

建立复杂网络中四个基本网络模型，以及求各种基本属性(struct models for the four basic complex networks and tell us how to resolve the basic proprties)

differenr kinds od pid control and different new method

Stephen J.Chapman 著 邢树军等译 国外高校电子信息类优秀教材，与大家分享下！尤其适合初学者. (Stephen J.Chapman )

This packet is a IS-95 baseband simulation for 1 data channel of 9.6 KBps rate. The simulation is written for static channel and AWGN noise. The packet include: 1) Packet Builder (Viterbi Encoding, Interleaver, PN generation) 2) Modulator (RRC filter) 3) Demodulator (Matched Filter, RAKE receiver) 4) Receiver (HD or SD) (Deinterleaver, Viterbi Decoder). You should run "Simulation.m" function that include all modules(This packet is a IS-95 baseband simulation for a channel data rate of 9.6 KBps. The simulati on is written for static channel and AWGN noise. The packet include : 1) Packet Builder (Viterbi Encoding. Interleaver. PN generation) 2) Modulator (RRC filter) 3) Dem odulator (Matched Filter, RAKE receiver) 4) Receiver (HD or SD) (Deinterl eaver. Viterbi Decoder). You should run "Simulation. m "function that include all modules)

首先生成如下形式的图片：图中的白条为7象素宽，210象素高，白条间的宽度为17象素。 然后应用多种滤波器进行处理：算术均值，几何均值，谐波均值，逆谐波均值，中值滤波，中点滤波，最大值、最小值滤波等。最后详细比较上述的结果，并分析原因。（内含实验报告）(Pictures first generate the following form: in IOUs 7 pixels wide by 210 pixels high, IOUs between the width of 17 pixels. Then apply a variety of filters for processing: arithmetic mean, geometric mean, harmonic mean inverse harmonic mean, median filtering, the midpoint filtering, maximum, minimum filter. Finally, a detailed comparison of the above results, and analyze the reasons. (Contains experimental report))

DIGITAL IMAGE PROCESSING using matlab SIMULATION