光纤耦合MATLAB程序

A matrix of symbolic elements is reasonably useful for many analytic linear algebra applications, and for analytic vector, matrix and tensor differentiation. This function produces a matrix of arbitrary dimension of symbolic elements that are indexed by their position in the symbolic matrix for ease of reference. EXAMPLE >> M = symMat([2 2], m , real ) M = [ m11, m12] [ m21, m22] >> class(M) ans = sym >> det(M) ans = m11*m22 - m12*m21

用firgr函数设计的两种类型的FIR低通滤波器，( minorder/minodd )边界频率fre_edge=[0 .345 .575 1]*pi 显示幅频特性(Firgr function design with two types of FIR low-pass filter, (' minorder/minodd' ) boundary frequency fre_edge = [0 .345 .575 1]* pi shows the amplitude frequency characteristics)

接收部分从信道接收信号。经基带滤波、短码解扩、沃尔什解调、解扰、去交织和维持比译码，输出解调后的信号。各通信模块和发射机的相关模块设计类似。(Receiving part receives signals from the channel. The baseband filtering, short code solution extender, Walsh demodulation, cross talk, go to interweave and solution than decoding, maintain the output signal after demodulation. Various communication module and the related module design similar transmitter. )

matlab电子教程 包括插值拟合、稀疏矩阵、高级图形对象等有用的知识。均为pdf文件。(matlab tutorial, including electronic fitting interpolation, sparse matrix, advanced graphics and other objects useful knowledge. Are pdf files.)

惯导系统的误差仿真，通过gui界面给出，方便修改参数(The error of inertial navigation system simulation, through the GUI interface is given, convenient to modify parameters )

Fast ICA，一种ICA的快速算法，有完整的论文（两种格式，pdf和ps的）(Fast ICA, the ICA a fast algorithm, a complete paper (both formats, pdf and ps))

三相交流异步电机直接转矩控制的MATLAB仿真(Three-phase AC induction motor direct torque control of MATLAB Simulation)

创建一个理想的mixer输入是理想的LO信号和输入信号输出是混合后的信号。(build a ideal mixer the input is ideal LO signal and the input signal.)

单小区单用户多天线MIMO环境下，QPSK调制进行MMSE接收处理，比对理想，非理想和一般MMSE接收的性能(Under the single-cell single-user multi-antenna MIMO environment, QPSK modulation MMSE receiving treatment, compared to the ideal, non-ideal performance and general MMSE reception)

说明：  We return to the iris data of the previous example to illustrate the Rand index, by comparing the k-means results with the true class labels. First we get some of the needed information to construct the matching matrix.