Elliptic-filter

matlab里的PLS回归分析,含英文说明,比较复杂(matlab in the PLS regression analysis, with the English description, more complicated)

基于LMS算法的回声消除仿真(LMS algorithm based on the echo canceller Simulation)

perform edge detection of woman

Genetic Algorithm + Neural Network for caracteristic optimization(Genetic Algorithm+ Neural Network for caracteristic optimization)

DBPSK，包括误码率统计和误符号率统计(DBPSK, including bit error rate and symbol error rate statistics Statistics)

小波变换和用小波变换做的滤波器的Matlab源代码。(Wavelet transform and the wavelet filter Matlab source code.)

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)

用于信道均衡的RLS算法，可用于水声信道的改进算法(RLS algorithm for channel equalization, the improved algorithm can be used for underwater acoustic channel)

用matlab的核函数对钓鱼岛实现分类（模式识别作业）(Kernel function using matlab realize the Diaoyu Islands classification (pattern recognition operations))

3GPP LTE-Advanced中OFDM实现仿真结果以及画出波形，为大家更加了解OFDM提供帮助(3GPP LTE-Advanced in OFDM achieve simulation results and draw the waveform, as we learn more about OFDM help Please help Google Translate improve quality for your language here.)