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16 QAM digital communication system

数字调制2FSK信号的调制，利用matlab仿真(2FSK digital modulation signal modulation, the use of matlab simulation)

will compute haar features for five types of classifier.

按照给定指标采用模拟低通滤波器（巴特沃思低通或者切比雪夫低通）去逼近理想模拟低通滤波器 ，然后通过双线性变换法对模拟滤波器进行数字化，得到数字滤波器 。(According to a given target analog low-pass filter (Butterworth or Chebyshev low-pass low-pass) to approximate the ideal analog low-pass filter, then through the bilinear transformation method to digitize the analog filters, digital filters has been .)

对数据作eof的matlab函数，进行数据处理，以得到数据的空间模态和时间系数(Matlab function of eof)

正交频分复用(OFDM)是第四代移动通信的核心技术,它是实现多媒体业务发展的基础.讨论了如何利用Simulink进行OFDM系统仿真,并给出了具体的仿真模型.利用仿真模型得到OFDM差错性能分析结果,通过对结果的分析,提出了改善性能的方法. (Orthogonal frequency division multiplexing (OFDM) is the core of the fourth generation mobile communication technology, it is the basis for the development of multimedia services. Discusses how to use Simulink for OFDM system simulation, and given the specific simulation model. Using the simulation model OFDM Error Performance Analysis of the results obtained through analysis of the results, proposed to improve performance.)

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)

this code compute a Cutter tool with optimization

空时自适应杂波抑制方法，基于机载平台的地杂波抑制方法( )

对信号计算11/2维切片谱，可用来分析二次相位耦合检测。(Calculation of signal 11/2 dimension slice spectrum can be used to analyze the quadratic phase coupling detection.)