HUFFMANJIEMA

这是关于单纯行算法的例程，时间也比较短 (This is a simple line on the algorithm routines, and time is relatively short)

it s flight vizualisation matlab

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)

fsk调制解调及相应误码率计算。随机产生一正弦信号并进行相应的调制解调。(fsk modem and the corresponding bit error rate. Randomly generate a sinusoidal signal and the corresponding modem.)

旋转不变算法--esprit，以《现代信号处理》（张贤达）书上所讲过程所写(Rotation invariant algorithm- esprit, to the "Modern Signal Processing" (Zhang XD) wrote the book talking about the process)

[数据挖掘]数据挖掘部分算法的matlab实现 C4_5 比较经典的代码([Data Mining] part of data mining algorithms compare classic C4_5 realize matlab code)

说明：  心电信号滤波，数字信号处理课后试验，其中有源程序，频谱图，滤波图(ECG filtering, digital signal processing OSCAR test, which is the source, the spectrum, filtering plan)

说明：  简要介绍了OFDM的发展状况及基本原理, 文章对OFDM 系统调制与解调技术进行了解析，得到了OFDM 符号的一般表达式，给出了OFDM 系统参数设计公式和加窗技术的原理及基于IFFT/FFT 实现的OFDM 系统模型，阐述了运用IDFT 和DFT 实现OFDM 系统的根源所在,重点研究了理想同步情况下,保护时隙(CP)、加循环前缀前后和不同的信道内插方法在高斯信道和多径瑞利衰落信道下对OFDM系统性能的影响。在给出OFDM系统模型的基础上,用MATLAB语言实现了传输系统中的计算机仿真并给出参考设计程序。最后给出在不同的信道条件下,研究保护时隙、循环前缀、信道采用LS估计方法对OFDM系统误码率影响的比较曲线,得出了较理想的结论。(Generation of OFDM Communication System)

说明：  熵权法matlab代码，直接在命令窗口输入数据即可进行计算。(Analytic Hierarchy Process Matlab Code)

说明：  photovoltaic cell model