FSK-Modulation

SOPHISTICATED WAY FIND THE SHORTEST DISTANCE AMONG THE NEIGHBOR POINTS

二维矩形波导电磁波传播，Matlab程序，实习时编写！(Two-dimensional rectangular waveguide electromagnetic wave propagation, Matlab procedures, internship writing!)

这是梅林矩的MATLAB源代码,代码质量较好,可供研究图像图形处理和水印技术方面的朋友参考!(This is the Mellin moments of MATLAB source code, source better quality for the study of image and graphics processing and technical aspects watermark friends reference!)

It uses kalmanf(s) function to calculate GPS error variance.

船舶电力推进 直接转矩控制 扇区判断 仿真模型(ship dtc)

This code is about Digital Signal Processing.

用MATLAB软件中的TRUETIME工具箱 对无线网络进行仿真的例子~(TRUETIME using MATLAB software toolbox of wireless network simulation example ~)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

cognitive radio performance matlab code for spectrum sensingg

这是一个关于自适应滤波的程序，主要考察自适应滤波的性能。参数是变化的(This is a process of adaptive filtering, mainly on the performance of adaptive filtering. Parameter is changing)