091120097

matlab的电子书籍，对初学者非常有用。书籍的内容涵盖比较详细(Matlab electronic books, very useful for beginners. The content of the book covers more detail)

BPSK、QPSK、16QAM误码率分析(BPSK、QPSK、16QAM for bit error)

simulink建立的卡尔曼滤波算法，运行没问题！(simulink_kalman and matlab)

说明：  Brag.m：均匀布拉格光栅MATLAB反射谱仿真 MachZehnde_interferometer.m：分析耦合比及臂长差的改变对马赫-曾德尔干涉仪输出特性的影响 OADM.m：关于基于马赫-曾德尔干涉仪与光纤光栅的OADM(Brag.m: Simulation of MatLAB Reflectance Spectrum of Uniform Bragg Grating Mach Zehnde_interferometer.m: Analysis of the influence of coupling ratio and arm length difference on the output characteristics of Mach-Zehnder interferometer OADM.m: About OADM Based on Mach-Zehnder Interferometer and Fiber Bragg Grating)

数字信号处理教程MATLAB释义与实现里面大量的例程，可以参考(Digital Signal Processing MATLAB Tutorial Interpretation and Implementation of a large number of routines which could serve as reference)

天线和电磁场利用Matlab建模仿真计算超全资料(Antennas and electromagnetic field simulation using Matlab modeling ultra-wide data)

说明：  Matlab实现平面阵列、圆环阵列、直线阵列的三维可视化指向性，包括三维幅值和三维相位。(Matlab realization of planar arrays, ring arrays, linear arrays of three-dimensional visualization of directional, including three-dimensional amplitude and three-dimensional phase.)

说明：  在MATLAB环境中，利用简单的加法和乘法实现基2时间抽取的FFT变换，并且能够计算出峰值点的最大值,数据点数为2的整数次幂。学习程序有利于对FFT变换的理解，以及在单片机环境或者是DSP环境中编写FFT变换C语言程序。(In the MATLAB environment, using simple addition and multiplication of time taken to achieve the base 2 FFT transform, and can calculate the maximum peak point. Learning process is conducive to the understanding of the FFT transform, and the DSP in the microcontroller environment, the environment or the preparation of FFT, C language program.)

We present in this paper a new method for blind source separation which is adapted to the case where the sources have different morphologies. We show that the morphology diversity concept leads to a new and very efficient method, even in the presence of noise.

此内容是电气工程及其自动化专业毕业设计中 所能用到得MATLAB仿真(This content is graduated in electrical engineering and automation design can be used in MATLAB simulation)