buhuo4

说明：  变速恒频双馈风力发电机仿真中很有用的几个模块(Doubly-fed VSCF wind turbine simulation is useful in several modules)

周期T=5，脉宽tao=1的矩形脉冲及频谱图(cycle T = 5, pulse width = tao a rectangular pulse and the spectrum)

说明：  FBMC的各个模块的代码实现，适合FBMC入门参考。(Code Implementation of Each Module of FBMC)

用于4G LTE下行链路PDSCH仿真(for simulation of LTE Downlink PDSCH)

1、产生信号，两个实正弦信号的叠加，幅度分别为2、4、1、3；混入均值为0、方差为1的白噪声。采用自适应滤波器对其进行去噪。 2.产生信号，为两个实正弦信号的叠加，其幅度均为4，混入均值为0、方差为1的白噪声。采用有限脉冲响应法设计一个维纳滤波器估计信号 ，并求最小均方误差。 3.产生高斯分布的白噪声w(n)，自行给定一个5阶AR模型，让该白噪声通过这个AR模型，得到输出信号x(n），再估计x(n）的AR模型数，比较估计的结果和原来给定的AR模型的参数。(A signal to be generated, the superposition of two real sinusoidal signals, amplitude, respectively 2,4,1,3 mixed with mean 0 and variance 1 white noise. Noising using adaptive filter them. (2) generate signals as a superposition of two real sinusoidal signal whose amplitude was 4, mixed with mean 0 and variance 1 white noise. The finite impulse response method to design a Wiener filter estimate signal, and for the minimum mean square error. 3 Gaussian white noise generated w (n), given a five self-order AR model, so that the white noise through the AR model, get the output signal x (n), and then estimate x (n) the number of AR model, Compare the results and the original estimate given by the AR model parameters.)

16QAM调制下的OFDM通信系统,代码完善，包括解调程序，和调制程序(OFDM system under 16QAM modulation)

OFDM-QPSK系统在不同信道（AWGN、AWGN+两径衰落信道、AWGN+三径衰落信道）下的接收端误码性能(three path fading, Gauss white noise)

实现了2维高斯拟合，可用于生物荧光标记的显微图像的拟合。(Achieved a 2-dimensional Gaussian fitting, can be used for biological fluorescence microscopic image of the fitting.)

Computes BER v EbNo curve for convolutional encoding / soft decision Viterbi decoding scheme assuming BPSK. Brute force Monte Carlo approach is unsatisfactory (takes too long) to find the BER curve. The computation uses a quasi-analytic (QA) technique that relies on the estimation (approximate one) of the information-bits Weight Enumerating Function (WEF) using A simulation of the convolutional encoder. Once the WEF is estimated, the analytic formula for the BER is used.(Computes BER v EbNo curve for convolutional encoding/soft decision Viterbi decoding scheme assuming BPSK. Brute force Monte Carlo approach is unsatisfactory (takes too long) to find the BER curve.The computation uses a quasi-analytic (QA) technique that relies on theestimation (approximate one) of the information-bits Weight Enumerating Function (WEF) usingA simulation of the convolutional encoder. Once the WEF is estimated, the analytic formula for the BER is used.)

研究d2d通信加中继节点来优化蜂窝小区边缘用户通信，并通过MATLAB仿真(The D2D communication and relay nodes are studied to optimize the edge user communication of cellular cell, and the simulation is carried out by MATLAB.)