20160521Bandpass-sampling

this is source code in matlab, simulate about mc-cdma over rayleigh channel

实现信号的时域和频域变换的一种算法，附有详细说明(Signals in time domain and frequency domain transform an algorithm, with detailed instructions)

是线性、非线性滤波的工具包，包括KF，UKF，PF及其各种变体(Is linear, non-linear filtering tool kit, including KF, UKF, PF and its various variants)

说明：  程序以MATLAB为工具对图像进行边缘检测(bianyuanjiance)

Minkowski香肠线 迭代分形图 Matlab(Minkowski sausage line iteration fractal images)

The code implements the optical flow algorithm described in Gautama, T. and Van Hulle, M.M. (2002). A Phase-based Approach to the Estimation of the Optical Flow Field Using Spatial Filtering,IEEE Trans. Neural Networks, 13(5), 1127--1136. The algo proceeds in 3 steps 1. spatial filtering 2. phase gradient estimation 3. IOC using recurrent networks (The code implements the optical flow algor ithm described in Gautama, and T. Van Hulle. M.M. (2002). A Phase-based Approach to the Esti mation of the Optical Flow Field Using Spatial F iltering, IEEE Trans. Neural Networks, 13 (5), 1127-- 1136. The algo proceeds in a three steps. spat ial filtering 2. 3 phase gradient estimation. I OC using recurrent networks)

ORTRAN编写的差分程序，用于计算偏微分方程(ORTRAN differential write procedure, partial differential equations used to calculate)

matlab programme to simulate beamforming in a communication system.

是mimo仿真程序里面的一段小程序，非常适用于各种mimo程序里面用，很好用(Mimo simulation program is inside a small program that is ideal for use inside various mimo procedures, useful)

线性时不变离散时间系统在时域中可以通过常系数线性差分方程来描述，冲击响应序列可以刻画其时域特性。本实验通过使用MATLAB函数研究离散时间系统的时域特性，以加深对离散时间系统的差分方程、冲激响应和系统的线性和时不变特性的理解。(The linear time-invariant discrete-time system can be described in the time domain by a linear difference equation with constant coefficients. The impulse response sequence can describe its time-domain characteristics. This experiment uses MATLAB functions to study the time domain characteristics of discrete-time systems to deepen the understanding of differential equations, impulse response, and linear and time-invariant characteristics of the system.)