模糊控制

Matlab中所有的函数，用户可以方便地使用(Matlab, all functions, users can easily use)

认知无线电频谱分配 CSGC算法基于公平性 最大化效益等方面的仿真(Cognitive radio spectrum allocation CSGC algorithm simulation based on fairness maximize effectiveness)

载入测试数据wine,其中包含的数据为classnumber = 3,wine:178*13的矩阵,wine_labes:178*1的列向量(Now the test data wine, wherein the data contained in the classnumber = 3 wine: 178* 13, the matrix wine_labes: 178* 1 of the column vector)

用MIH的心电数据，并用MATLAB读取出来，呈现曲线(With MIH ECG data, and read out using MATLAB, showing curves)

调频信号调制解调fm_modulation_and_demodulatin(FM signal modulation and demodulation fm_modulation_and_demodulatin)

修改后的bnb20（混合整数规划工具箱），能够在matlab7.0以上版本正常使用(Revised bnb20 (Mixed Integer Programming Kit), can be above normal use matlab7.0)

输入信号为方波信号+高斯白噪声，方波信号基 频为1kHz，幅值为1，高斯白噪声方差为0.2， 均值为0，采样频率为20kHz。试用最大熵估计 法估计此信号的AR模型及其功率谱，并分析结 果(The input signal is a square wave signal+ Gaussian white noise, square wave signal fundamental frequency 1kHz, amplitude is a Gaussian white noise variance is 0.2, the mean is 0, the sampling frequency is 20kHz. Try maximum entropy estimation method to estimate the AR model of this signal and its power spectrum, and analyze the results)

实验一 离散时间信号的时域表示 实验二 离散时间系统的时域表示 实验三 离散时间序列的傅立叶变换 实验四 Z变换 实验五 离散傅立叶变换 实验六 数字滤波器的结构 实验七 IIR数字滤波器设计 实验八 FIR数字滤波器设计 实验九 DSP实现(Experiment a discrete-time signal in the time domain representation Experiment two discrete-time time-domain representation of the system Experiment three discrete Fourier transform of the time series Experiments four Z-transform Experimental five discrete Fourier transform Six experimental digital filter structure Experiment 7 IIR digital filter design Experiments eight FIR digital filter design Experiments nine DSP implementation)

The document contains many sources for computing FIR and IIR, also there are many pictures of the results.

this code is about different types of digital communications