matlabfengesuanfa

基于qpsk的程序仿真的源代码，用于对qpsk进行仿真(source code based on qpsk)

快速谱峭度方法，选择信号峭度最大的频段进行滤波，对滤波好信号进行包络谱分析(Fast spectral kurtosis method, select the frequency band with the maximum signal kurtosis for filtering, and analyze the envelope spectrum of the filtered signal)

汽车到达加油站加油的仿真程序，有一辆汽车和两个汽车模拟的两个程序(vehicles arrive at the gas station refueling simulation program, a car and two cars in two simulated procedures)

modem SIM5218 mobile network communication

50欧姆,100欧姆板厚1.0MM8层板阻抗设计-金百泽阻抗控制结构确认函(1mm8layout100ohm50ohm Impedance matching )

模糊C均值及K均值聚类算法matlab程序代码，输入矩阵，及分类数可进行模糊分类，并得到类别的聚类中心。(Fuzzy C-means and K-means clustering algorithm matlab program code, input matrix, and the number of classification can be fuzzy classification, and get the classification center.)

自动增益控制（AGC）原理与仿真 AGC环路中增益控制函数为 f(x)=100/（1+100x）(Automatic gain control (AGC) Principle and simulation of AGC loop gain control function f (x) = 100/(1+100 x))

通过求解Chirstoff方程，求解出材料的群速度和慢度面(compute the sowless and group velocity)

对均匀圆阵和均匀线阵的方向图指向进行描述 matlab(UCA ULA MATLAB)

功率谱估计是利用有限长的数据估计信号的功率谱，广泛应用于各个领域。功率谱估计主要分为经典谱估计与现代谱估计。常用的经典谱估计方法有周期图法，相关法，周期图的改进法，常用的现代谱估计方法有最大熵谱估计，AR模型，MA模型，ARMA模型。经典谱估计适用于长序列的信号，其主要缺陷是描述功率谱波动的数字特征方差性能差，频率分辨率低，现代谱估计适用于短序列的信号，旨在改善谱估计的分辨率，并将其应用于实际地震资料的谱分析。 (Power spectrum estimation is the use of a finite length data to estimate the power spectrum of the signal, widely used in various fields. Power spectrum estimation is divided into classic and modern spectral estimation spectral estimation. Commonly used methods of classical periodogram spectrum estimation method, the relevant law, the cycle graph Improvement Act, commonly used in modern spectral estimation methods have maximum entropy spectral estimation, AR model, MA model, ARMA model. Classical spectral estimation applied to signal a long sequence, its main drawback is the fluctuation power spectrum describing digital signature variance performance is poor, the frequency resolution is low, modern spectral estimation applied to signal short sequences designed to improve spectral estimation resolution, and The analysis applied to real seismic data spectrum.)