bell_man_ford

说明：  基于clarke模型的瑞利多径衰落产生器，由移动台速度确定的瑞利衰落随机过程(A Rayleigh fading simulator based on Clarke s Model. Creates a Rayleigh random process with PSD determined by the vehicle s speed)

说明：  此程序给出信号的多分辨率分析（Multiresolution Analysis），即信号的多分辨率分解（Multiresolution Decomposition）方法及应用。该程序是一个多抽样率系统（Multirate System）举例，用M个的滤波器，将信号的频谱等分成M部分，使所得抽样频率降为1/M，然后再依据它们的“重要性”给一不同的bit数，那么所传输的bit流必然会进一步下降，起到压缩带宽的作用。(This program gives the signal of the multi-resolution analysis (Multiresolution Analysis), the multi-resolution signal decomposition (Multiresolution Decomposition) method and its application. The program is a multirate rate system (Multirate System) example, with M a filter, the signal' s frequency spectrum is divided into M parts, the proceeds of sampling frequency reduced to 1/M, then according to their &quot importance&quot to the bit of a different number, then the transmitted bit stream is bound to decline further, to play the role of bandwidth compression.)

说明：  Matlab能量检测在rayleigh衰落信道下的性能仿真,主要为虚警概率和误警概率的关系(Matlab energy detection in rayleigh fading channel the performance simulation, mainly for the false alarm probability and the relationship between the probability of false alarm)

说明：  多抽样数字信号处理-Matlab Multirate Filtering for Digital Signal Processing: MATLAB Applications Ljiljana Milić University of Belgrade, Serbia(Multirate Filtering for Digital Signal Processing MATLAB Applications.pdf)

Cyclo Converter- fixed ac to variable freq and voltage ac with simple simulation circuits

说明：  主要实现基于LMS算法的自适应滤波器,基于自适应算法的信号增强(Adaptive filter based on LMS)

两种模糊核聚类算法,包括源程序和算例，非常有用(Two Fuzzy C-Means algorithm)

空间谱估计及其应用，作者是 刘德树 罗京青 张剑云等。 (Spatial spectrum estimation and its application of Liu tree Luojing Qing ZHANG Jian-Yun.)

matlab gui, 一个综合的例子，包括了基本的各种组件用法。(matlab gui, a comprehensive example, including the basic usage of the various components.)

产生 正态白噪声序列 (1) 打印出前50个数 (2) 分布检验 (3) 均值检验 (4) 方差检验 (5) 计算相关函数 Bx(i),i=0,±1,±2,…, ±10。 B(m)=1/1000 (Have a normal white noise sequence (1) print out the top 50 the number of (2) the distribution of test (3) the mean test (4) of variance test (5) calculating the correlation function Bx (i), i = 0, ± 1, ± 2 , ..., ± 10. B (m) = 1/1000)