yingyong

convolution_ different methods.. circular n linear covolution included

matlab源程序 比较直传，AF，DF的误码率仿真 比较理论误码率和直传误码率仿真曲线图 适合初学者阅读(matlab source code comparison forward pass, AF, DF bit error rate BER simulation and comparison theory forward pass BER curves for beginners to read)

机械测试信号处理 附书的matlab源码。(Mechanical testing signal processing matlab source attached to the book.)

k-l变换在matlab下的源代码，非常实用。(K-L transformation in matlab， which is so easy to apply to many situations.)

该书籍介绍了很好的统计学习方法，能为机器学习和数据挖掘的爱好者提供很好的理论依据。(The book describes the good statistical learning method that can provide a good theoretical basis for machine learning and data mining enthusiasts.)

missile document IEEE paper s

根据干扰信号波形样式的不同，压制性干扰可分为噪声调幅干扰、噪声调频干扰、噪声调相干扰。就是用噪声或类似噪声的干扰信号遮盖或淹没有用信号，阻止雷达检测目标信息。它的基本原理是：任何一部雷达都有外部噪声和内部噪声，雷达对目标的检测是在这些噪声中进行的，其检测又是基于一定的概率准则的。一般来说，如果目标信号能量S与噪声能量N相比（信噪比S/N），超过检测门限D，则可以保证一定的虚警概率Pfa的条件下达到可检测目标回波所要求的检测概率Pd，简称为可发现目标，否则便称为不可发现目标。(Blanket Jamming can be divided into different styles according to the interference signal waveform, noise AM interference, noise FM jamming noise phase modulation interference. With noise or noise-like interference signal covered or submerged useful signal prevent radar detection target information from. Its basic principle is: any one radar has the external noise and the internal noise of the radar target detection in these noise detection is based on a certain probability criterion. Generally, compared to if the target signal energy S and noise energy N (signal-to-noise ratio S/N), more than the detection threshold D, you can guarantee reach target echo can be detected under the conditions of a certain false alarm probability Pfa requirements detection probability Pd, referred to can be found in the target, otherwise known as not finding the target.)

说明：  简单实现了基于项目的协同过滤代码，MATLAB实现，需要解压(Simple implementation of project-based collaborative filtering code)

2ASK信号的正交解调，包括2ASK信号的产生，与本地载波混频，低通滤波，求包络，恢复出原始信号等(the demodulation of 2ASK)

复杂噪声背景下，微弱振动信号去噪方法之小波包软阀值去噪(Complex noise background, the weak vibration signal denoising method of wavelet package soft threshold denoising)