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FSK,BPSK,QPSK信号,循环均值,循环自相关
- 包含各种循环谱代码,时域自相关和频域自相关循环谱子程序,直接调用就行了!(matlab program about BPSK and FSK spectral correlation.)
DFT
- 傅里叶变换matlab源程序,正傅里叶变换和逆傅里叶变换能够将时域信号转换为频域信号(Fourier transform Matlab source code, the positive Fourier transform and inverse Fourier transform can transform the time domain signal into a frequency domain signal)
时频分析matlab工具箱
- 时频分析工具,根据gui参数可以绘制不同的plot曲线,分析信号功率,时间域信息等(The time-frequency analysis tools can draw different plot curves according to the GUI parameters, and analyze the signal power, time domain information, etc.)
LFM_analysis
- 本程序对线性调频信号进行了仿真、时域分析以及频域分析;在不同时宽带宽积TBP下比较驻定相位法与原信号的符合程度;不同过采样率对线性调频信号的恢复程度。(This procedure is simulated, time domain analysis and frequency domain analysis of linear FM signal; at the same time bandwidth product TBP with stationary phase method compa
新建文件夹
- 将采集到的数据信号导入MATLAB软件进行处理,查看其信号频谱图,采用频域窗函数法编程设计数字滤波器,实现低通、带通和高通滤波效果。(The collected data is imported into the MATLAB software to process, check the signal frequency spectrum, and design the digital filter with frequency window function method to achieve
testing
- 这是频域光声成像实验中,模拟对光声信号进行采样时读取信号的代码(the code of signal-reading)
148113782QPSK_oQPSK
- QPSK,oQPSK调制仿真,基带信号,经过带通滤波器以后的时域图形,频域波形。(QPSK, oQPSK modulation simulation, baseband signal, through the band pass filter after the time domain graphics, frequency domain waveform.)
inverse_st
- 广义S变换及其逆变换,用于对非平稳信号进行时频分析,研究信号的频域特征随时间的变化情况(The generalized S transform and its inverse transform are used to analyze the time-frequency of nonstationary signals and study the change of frequency domain characteristics with time.)
HammerBeamM
- 可以实现matlab绘制振动信号的时域谱,频谱,以及绘制奈奎斯特图,还有使用H1,H2估计,实现振动信号的分析(Matlab can be used to draw the time domain spectrum, spectrum and Nyquist diagram of vibration signal, and also use H1 and H2 to estimate vibration signal.)
语音信号加噪和降噪处理
- 语音是人类交换信息的有效渠道之一,也是我们日常生活交流的主要形式。 语音与当今科学技术的快速发展息息相关,特别是计算机中的语音交互技术,通 过对语音信号进行采集和处理,实现人与人之间有效信息的传输、获取以及存储。 基于 MATALAB 的语音信号去噪设计,对噪声信号进行有效地滤除,将降噪后的语音信号与原始 信号在时域和频域进行对比分析,计算出信噪比,并在 MATLAB 中设计 GUI 仿 真界面进行展示.(Speech is one of the effective ways for human
i1
- 利用MATLAB提供的低通滤波器实现图像信号的滤波运算(Using the low-pass filter provided by MATLAB to realize the filtering operation of image signal)
MUSIC
- 基于频域MUSIC算法的DOA角度估计,采用matlab代码实现,代码中使用多通道二维频域结果进行计算(DOA angle estimation based on frequency domain MUSIC algorithm)
IIR一阶低通滤波器
- matlab实现带通滤波,傅里叶变换,得到频域信号,带桶处理(Achieve band pass filter, Fourier transform, get frequency domain signal, with bucket processing.)
audio_tezheng
- 语音信号的时域、频域与倒谱域分析。 1.分析一帧清音和浊音的自相关函数和倒谱系数 2.用Matlab画出该段语音的时域波形、短时能量、短时平均幅度、短时过零率、短时过电平率 3.选择一帧无声、清音和浊音的语音,用Matlab画出它们的对数幅度谱(Time domain, frequency domain and cepstrum domain analysis of speech signals. 1. Analyze the autocorrelation function and c
LFM
- LFM频谱的成像,分别得到时域实部、虚部,频域以及相位的图像。LFM信号的脉冲压缩。点阵目标的成像(The real time, imaginary part, frequency domain and phase images of the LFM spectrum are obtained respectively. The pulse compression of the LFM signal. Imaging of dot matrix target)
BaiduNetdiskDownload
- 该程序为雷达中经常使用的线性调频信号的时域及频域编程,脉冲积累的算法验证,和CFAR检测。(The program is used for the time and frequency domain programming of LFM signals used in radar, pulse accumulation algorithm verification, and CFAR detection.)
wk10
- 波数域算法又称为距离徙动算法(Range Migration Algorithm,RMA)或-算法,由Cafforio等提出。该算法分析距离处理后信号的二维频谱,通过二维频域匹配滤波进行相位补偿,在完成方位聚焦的同时完全校正距离徙动。由于其中的Stolt变换能克服SAR信号中距离徙动和SRC对斜距的依赖,因此波数域算法是一种理想的成像算法,尤其在处理大斜视角和长合成孔径的SAR数据时。但Stolt变换需要插值,降低了处理效率并引入额外的误差。(The wavenumber domain Algo
OFDM
- 结合理论课讲解基于Matlab仿真OFDM信号,绘制OFDM符号星座图,时域、频域曲线; 绘制发送端、接收端低通滤波器的幅频特性; 分析AWGN信道条件下OFDM系统的误码率性能( combined with the theory of lesson based on Matlab simulation OFDM signal, drawing OFDM symbol constellation, time domain, frequency
2337
- 最大似然(ML)准则和最大后验概率(MAP)准则,滤波求和方式实现宽带波束形成,分析了该信号的时域、频域、倒谱,循环谱等。( Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Filtering summation way broadband beamforming, Analysis of the signal time domain, frequency domain, cepstrum, c
time_frequency_analysis
- 基于实测信号,进行时频分析,同时了解时域频域特征(Based on the measured signal, time-frequency analysis is carried out, and time domain and frequency domain characteristics are also understood.)