SmithFrame

二用户CDMA系统，信道为加性高斯信道，使用BPSK调制，15位M序列扩频，可以正确解扩解调。 输出为2用户的基带信号、扩频信号、PSK调制信号、解调信号的时域和频域特性，给出两个用户分别的误码率。 (Second, the user CDMA system, channel for the additive Gaussian channel, using BPSK modulation, 15 M Sequence Spread Spectrum, you can correct demodulation despreading. Output of 2 user' s baseband signal, spread spectrum signal, PSK signal modulation, demodulation signal time domain and frequency domain characteristics of the two users are given the bit error rate, respectively.)

Ku波段卫星通信中自由空间衰减计算的simulink mdl文件(Ku-band satellite communications in free space attenuation of simulink mdl file)

说明：  模式识别中的ISODATA算法，以及利用模式相似性测度分类的源程序(The ISODATA algorithm for pattern recognition and classification using pattern similarity measure of the source)

Discrete Orthogonal Polynomial Toolbox: DOPBox Version 1.5

这是用matlab编写的一个源程序，希望对大家有用，不足之处还请大家谅解(This is a source code written in matlab, want to be useful, the inadequacies also please understand)

在matlab软件中，自己编程实现的一个分类算法，算法首先采用kmeans与fcm聚类分析方法进行采样，然后利用svm对选取得样本进行分类(In matlab software, own programming to achieve a classification algorithm, the algorithm first used fcm kmeans cluster analysis methods and sampling, and then use the elections to obtain samples for svm classification)

ofdm simulink scramble b_ifft convo_process dec_to_bi interleaving(ofdm Simulink scramble b_ifft convo_proc ess dec_to_bi interleaving)

基于simulink的西门子标准400V低压馈线模型，其中包含一个PV光伏并网模型(Based on the the simulink Siemens standard 400V low voltage feeder model, which contains a PV photovoltaic grid model)

说明：  MATLAB编程用两种方法模拟光学实验.单缝衍射、杨氏双缝干涉、黑白光栅衍射的计算机模拟；以及用傅立叶变换方法对简单孔径衍射、黑白光栅及正弦光栅夫琅和费衍射的模拟(MATLAB program to simulate the optical in two experiments. Single slit diffraction, Young' s double slit, diffraction grating computer simulation of black and white and Fourier transform method with a simple aperture diffraction, black and white grating and sinusoidal grating Fraunhofer diffraction simulation)

有关于过滤图像 的MATLAB软件,已经上机运行过,对MATLAB编程非常有用(Filtered image on the MATLAB software has been running on the machine before, is very useful for MATLAB programming)