pudn_g39pa1

说明：  2个程序，MATLAB设计的一个滤波器，将含3个频率分量的信号通过该滤波器，滤除2个高频分量，得到只含低频的信号。 单边带信号调制，用MATLAB实现，是学习信号调制的一个好例子。(Two procedures, MATLAB design a filter, will contain three frequency components of the signal through the filter, filter out high frequency components of two, has been only with low-frequency signal. SSB signal modulation, using MATLAB to achieve, is to study signal modulation of a good example.)

it is matlab code on spectrum sensing in cognitive radio network using matched filter

周期图法，bt进行功率谱估计，matlab仿真程序(Periodogram, bt power spectrum estimation, matlab simulation program)

CA码生成程序。可以产生32颗卫星的。并载波，采样(CA key generation procedures. Can produce 32 satellites. And the carrier, sampling)

基于matlab的cdma系统仿真程序，包括 gold码异步时计算误码率程序，高斯白噪声发生程序(based on the CDMA system Matlab simulation program, Asynchronous yards, including gold at the bit error rate calculation procedures, Gaussian white noise process occurred)

8DPSK AWGN BER BCH coder

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)

matlab ti2000系列DSP基于模型设计的例程，simlink+ccs+硬件直接可以生成C语言代码，在硬件中可以直接运行。(matlab ti2000 series DSP can generate C code model-based design routines, simulink+ ccs+ hardware, you can run directly in hardware.)

在自适应控制中，用Matlab算法实现M 序列及其逆序列的产生(In adaptive control, the algorithm using Matlab M-sequence and reverse sequence generation)

亲测可用，完整版cca分析ssvep信号，可能没有数据，但是程序是好的(Pro test can be used, the full version of CCA analysis of SSVEP signals, there may be no data, but the program is good)