matlab_fn

2D Fourier变换在光衍射方面的应用一例,对孔函数直接应用FFT2,得到衍射结果；以及FDTD方面的两个不成熟的程序(2D Fourier Transform-ray diffraction case of the application of direct application Kong FFT2 function, be diffraction; FDTD and the two immature procedures)

Code contains basic math functions.Written in codeblocks as c code.

For 3d Photonic crystals with diamond structure. Calculation of photonic band gaps etc. using matlab

说明：  在Matlab中模拟“落体偏东”想象。物理上，非惯性系下相对运动会产生科里奥利力，正是在科氏力下，地球上的运动物体才会产生偏转。(Simulated in Matlab, &quot off the body towards the east&quot Imagine. Physically, non-inertial Coriolis force generated in the relatively Games, is in the Coriolis force, the earth will produce deflection of moving objects.)

GAC模型代码，很好的matlab代码，希望大家多多分享(GAC model code, good code matlab)

matlab代码，小波分析心电信号程序。压缩包里面有程序（格式m）和数据文件（格式mat。）(matlab code for wavelet analysis ECG procedures)

提取信号七个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，一个信号段的归一化瞬时频率功率谱密度的最大值，根据信号 QPSK 和16QAM在 XI 轴投影的不同表现，提出特征参数。(Extraction based on instantaneous information signal of seven characteristics: zero center normalized instantaneous amplitude of the maximum power spectral density, zero-center normalized standard deviation of the instantaneous rate of absolute zero center section of non-weak signal instantaneous phase nonlinear component absolute value of standard deviation, non-zero center section of the weak signal non-linear component of the standard deviation of the instantaneous phase, zero-center non-normalized absolute value of the weak signal section of the standard deviation of the instantaneous frequency of a signal segment of the normalized power spectral density of instantaneous frequency maximum, according to the signal QPSK and 16QAM in the XI-axis projection of the different performance of the proposed characteristic parameters.)

Handbook matlab simulink

数字信号处理中，希尔伯特变换器优化设计研究学习(Digital signal processing, the Hilbert converter optimized design of the study)

this source code is an implementation of both primary and secondary user distribution in a predefiened area in Matlab