raji2

现代信号处理中谱估计在matlab中的使用，tuhrzmX参数单径或多径瑞利衰落信道仿真，双向PCS控制仿真，BP神经网络用于函数拟合与模式识别，hCxHWym条件包括主成分分析、因子分析、贝叶斯分析，使用混沌与分形分析的例程。( Modern signal processing used in the spectral estimation in matlab, tuhrzmX parameter Single path or multipath Rayleigh fading channel simulation, Two-way PCS control simulation, BP neural network function fitting and pattern recognition, hCxHWym condition Including principal component analysis, factor analysis, Bayesian analysis, Use Chaos and fractal analysis routines.)

很好的陷波器例子，其中有实现程序，仿真结果和详细的说明(Examples of good notch filter, which has achieved the program, and detailed description of simulation results)

在VC++6.0中利用MATCOM接口调用MATLAB中的.mat文件进行数据处理(In VC++6.0 using MATCOM interface calls the MATLAB. Mat file for data processing)

用matlab实现的svm源程序。这个程序可以进行svm分类。(Svm matlab implementation with source code. This procedure can be svm classification.)

fsk 使用matlab进行二进制振幅调制(fsk using matlab binary amplitude modulation)

读雷达基数据,格式为敏视达SA，类型为反射率因子。将其读入矩阵，并进行了插值，可以以图象显示。(Reading Radar Data)

独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S + N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S+ N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...)

数字基带传输仿真，关于a/d部分的仿真实习属于通信系统仿真的基本内容(Simulation of digital baseband transmission)

Matrix multiplication for two input matrices

介绍了通信系统中幅度调制的基本例子，将信息加载到幅度参量中。(The basic example of amplitude modulation communication system, the information will be loaded into the magnitude of the parameters.)