acpracs1

提出了一种多迸制频移键控(M娲K)信号调制分类及解调方法，选取截获接收机输出的MFSK信 号的时频脊线作为分类特征，利用无监督聚类算法求取最佳聚类数M．利用时频脊线的Ham：小波变换 估计码元宽度，并且利用对应最佳聚类数的聚类中心确定抽判门限，通过对时频脊线抽样判决，实现了 MFSK信号的解调．理论分析和对实际信号的处理结果证明了此算法的可行性．(new algorithm is proposed for elassillcation and demodulation of MFSK signals．The ridge of time— frequency representation of MFSK signals is analyzed．Modulation elassi_fieation is realized by using the unsupervised clustering algorithm to determine the optimal nulnllt2r of clusters．In order to demodulate MFSK signals，the Haar wavelet transform is used to estimate the code—width and the centers of optimal clusters are used to determine thresholds．Theoretical analysis and practical signal processing results justify the robusticity and the efficiency of the new classification and demodulation Mgorithm．)

基于Matlab simulink搭建的方波逆变器仿真模型，模型正确可直接使用(Square wave inverter simulation model based on Matlab simulink structures, the model is correct and can be used directly)

SV MODEL FOR 60GHZ CHANNEL CHRETERIZATION

This is a code for periodic impusive noise in ofdm based power line communications. It is implemented in matlab.

分析仿真舰船目标散射点在不同初始相位下的慢时间多普勒历程(Analysis and Simulation of slow-time Doppler history of ship target scattering points in different initial phases)

自己写的matlab图像处理入门学习资料，里面的例子很容易理解。(Write your own matlab image processing, entry-learning materials, which is easy to understand examples.)

This source code shows in a simple way how we can conver a time domain signal to frequency domain signal by fast fourier transform.

,在强干扰中提取信号,不仅要求有一定的信噪比,而且必须对信号作恒虚警处理.在自动检测系统中,对一定的检测门限来说,当干扰电平增大几分贝,虚警率就会大大增加,致使显示器画面饱和或计算机过载,这时即使有足够大的信噪比,也不可能做出正确的判决.为此在自动检测雷达中,必须具备恒虚警处(, extracting signal in strong interference, not only requires a certain signal-to-noise ratio, and must make constant false alarm processing for signal. In the automatic detection system, for a certain detection threshold, when the noise level increases, a few decibels will greatly increase the false alarm rate, led display screen saturated or computer overload, even if there is enough SNR at this moment, it is impossible to make the right decision. Therefore in the automatic detection of radar, must have a constant false alarm)

说明：  经验模态分解（Empirical Mode Decomposition，简称EMD))方法被认为是2000年来以傅立叶变换为基础的线性和稳态频谱分析的一个重大突破，该方法是依据数据自身的时间尺度特征来进行信号分解，无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。(Empirical mode decomposition (EMD) method is considered as a major breakthrough in linear and steady-state spectrum analysis based on Fourier transform since 2000. This method decomposes signals according to the time scale characteristics of the data itself, without setting any basis function in advance. This is essentially different from Fourier decomposition and wavelet decomposition based on prior harmonic basis function and wavelet basis function.)

人脸检测预处理程序，包含直方图，中值滤波，边缘检测等(Face detection preprocessor, including histogram, median filtering, edge detection, etc.)