▍1. BBS
时频分析代码,希望对大家有用,关于盲源分离的基础知识(Time frequency analysis code, we hope to be useful to everyone, about the basic knowledge of blind source separation.)
利用小波分析原理对某信号进行分解与重构,并可提取指定层数上的高、低频信号。(A signal is decomposed and reconstructed by using wavelet analysis principle, and high and low frequency signals can be extracted from the specified number of layers.)
基于多尺度奇异值分解的图像融合程序及一组待融合图像,以及一篇文献。(Image fusion program based on multiscale singular value decomposition and a set of images to be fused, and a document.)
一种新的瞬时频率估计方法,用到了同步压缩短时傅里叶变换的高阶形式(This MATLAB package is a collection of scripts allowing to generate figures in the paper [1]. This paper puts forward a generalization of the short-time Fourier-based Synchrosqueezing Transform using a new local estimate of instantaneous frequency. Such a technique enables not only to achieve a highly concentrated time-frequency representation for a wide variety of AM-FM multicomponent signals but also to reconstruct their modes with a high accuracy.)
数字基带传输基带信号,指未经调制的信号。这些信号的特征是其频谱从零频或很低频率开始,占据较宽的频带。 基带信号在传输前,必须经过一些处理或者某些变换(如码型变换、波形和频谱变换)才能送入信道中传输。处理或变换的目的是使信号的特性与信道的传输特性相匹配。 数字基带信号是消息代码的波形表示。表示形式有多种,有单极性、双极性波形,归零和非归零波形,差分波形、多电平波形之分,各自有不同的特点。 研究数字基带信号通过加性高斯白噪声信道的传输,并且假设信道除了叠加高斯噪声外,不会对信号产生其他失真。(matlabSimulation(pulse amplitude modulation) modulation signal in AWGN (additive white Gaussian noise AWGN (Additive White Gaussian Noise)) under the channel bit error rate and bit error rate performance, and compared with the theoretical value.)
mimo_BP用于十字型阵列雷达,利用匹配滤波理论进行算法仿真(mimo_BP Used for cross-array radar, using matched filter theory for algorithm simulation)
雷达系统设计部分信号处理程序,包括部分目标和干扰模型、匹配滤波、波形设计、多普勒处理、门限检测及恒虚警率等方面信号处理的程序(Signal processing program for radar system design)
《小波十讲(修订版)》主要内容简介:原书《小波十讲》(ten lectures on wavelets)是一本世界范围公认的经典学术名著,是当代数学著作中一本影响巨大的绝妙好书。(text book for wavelet analysis)
心电图(ECG)是临床上诊断心血管疾病的重要方法。 数字滤波作为数字信号处理技术的重要组成部分,广泛应用于诸如信号分离、恢复、整形等多种场合中。为了使信号不失真及在可编程逻辑器件中容易实现,采用具有严格线性相位特性的FIR滤波器进行低通滤波(0-150Hz),用整系数梳状滤波器来去工频干扰及基线漂移,从而达到对心电信号进行预处理的目的。(Electrocardiogram (ECG) is an important method for clinical diagnosis of cardiovascular diseases. As an important part of digital signal processing technology, digital filtering is widely applied to many occasions, such as signal separation, recovery, shaping and so on. In order to make the signal undistorted and easy to be realized in programmable logic device, the FIR filter with strict linear phase characteristics is used for low pass filtering (0-150Hz), and the entire coefficient comb filter is used to get the interference of the power frequency and the baseline drift, thus the purpose of preprocessing the ECG signal is achieved.)
Savitzky-Golay滤波是一种工程应用数据处理中高效的滤波方法,能同时得到平滑后的数据和数据梯度。(Savitzky-Golay filter is an efficient filtering method in engineering application data processing, which can simultaneously obtain the smoothed data and data gradient.)
小波变换分析,含有小波源程序和仿真主程序,适用于非平稳冲击振动信号的时频特性分析。(The wavelet transform analysis, which contains the small wave source program and the simulation main program, is suitable for the analysis of the time-frequency characteristic of the nonstationary shock vibration signal.)
wavelet transform to analyze fault for fault location determining
小波变换(wavelet transform,WT)是一种新的变换分析方法,它继承和发展了短时傅立叶变换局部化的思想,同时又克服了窗口大小不随频率变化等缺点,能够提供一个随频率改变的"时间-频率"窗口,是进行信号时频分析和处理的理想工具。它的主要特点是通过变换能够充分突出问题某些方面的特征,能对时间(空间)频率的局部化分析,通过伸缩平移运算对信号(函数)逐步进行多尺度细化,最终达到高频处时间细分,低频处频率细分,能自动适应时频信号分析的要求,从而可聚焦到信号的任意细节,解决了Fourier变换的困难问题,成为继Fourier变换以来在科学方法上的重大突破。(Wavelet transform (WT) is a new transform analysis method. It inherits and develops the idea of localization of short-time Fourier transform and overcomes the shortcomings that window size does not vary with frequency. It can provide a frequency-dependent The Time-Frequency window is ideal for time-frequency analysis and processing of signals. Its main feature is that by transforming some features that can fully highlight some aspects of the problem, the localization of the time (space) frequency can be analyzed, and the signal (function) can be gradually and multi-scale refined by the scaling operation, finally reaching the high frequency Time subdivision, frequency subdivision at low frequencies, can automatically adapt to the requirements of time-frequency signal analysis, which can focus on any details of the signal to solve the difficulties of Fourier transform has become a major breakthrough in the scientific method since Fourier transform.)
This is a MATLAB code used to calculate the PSNR of a function.
针对转子系统非线性动力学图谱分析,绘制转子的轨迹图,相图,频谱图以及庞加莱图。(analysis about nonlinear dynamics of the rotor bearing system)
用MATLAB编写的利用小波变换对多聚焦图像的融合。(The fusion of multi focus images with wavelet transform is written in MATLAB.)
本程序用Mallat算法实现小波变换,方法简答以实现(This program uses the mallat algorithe to implement wavelet transform)