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xunhuan
- 调制信号的识别，可以通过各种调制的功率谱不同来识别，但这种方法在小信噪比下，性能不好，通过循环功率谱来识别，仿真表明在小信噪比下有很好的性能-modulation signal identification, can be modulated through the power spectrum to identify different, but this approach in a small signal to noise ratio, poor performance, cycle po
cyclic2
- 基于matlab实现的循环谱估计算法，可以对具有循环平稳特点的信号进行参数估计，如直扩信号和周期调制信号 -Matlab-based spectral estimation algorithm to achieve the cycle, can be characterized with cyclostationary signal parameter estimation, such as the DS signal and cycle modulation
MPSKcycpumatlab
- MPSK信号基于高阶循环谱估计载波频率matlab的代码,可以更好的理解循环谱的相关理论-MPSK signals based on higher order loop carrier frequency spectrum estimation matlab code, you can better understand the theory of cyclic spectrum
cycmatlab
- 循环谱的MATLAB程序实现，便于读者对该理论的理解和领悟-Cyclic spectrum MATLAB program to facilitate the reader' s understanding and comprehension of the theory
bfxtxy_first
- 信号分析与识别，基于循环谱的参数估计， 信号分析与识别，基于循环谱的参数估计。-Signal analysis and identification, parameter estimation based on cyclic spectrum, signal analysis and identification, parameter estimation based on cyclic spectrum, signal analysis and identification, paramete
cyclic2
- 循环谱计算程序,采用FAM平滑算法,画出了图形-spectrum of the signal cycle program,
ping-V5.7
- 基于小波变换的数字水印算法matlab代码，分析了该信号的时域、频域、倒谱，循环谱等,考虑雨衰 阴影 和多径影响。- Based on wavelet transform digital watermarking algorithm matlab code, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Consider shadow rain attenuation a
2206
- IMC-PID是利用内模控制原理来对PID参数进行计算，分析了该信号的时域、频域、倒谱，循环谱等,借鉴了主成分分析算法（PCA）。- The IMC- PID is using the internal model control principle for PID parameters is calculated, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. It d
cu052
- 搭建OFDM通信系统的框架，matlab小波分析程序，分析了该信号的时域、频域、倒谱，循环谱等。- Build a framework OFDM communication system, matlab wavelet analysis program, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc.
直扩信号检测识别
- 利用循环谱相关法从高白噪声中检测识别出BPSK调制的直扩信号。(Detection and identification of BPSK modulated DSSS signals from high white noise using cyclic spectral correlation method.)