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DFT分析模拟信号频谱
- 应用傅里叶变换DFT，分析各种离散信号x(k)的频谱。离散周期信号可以展开成傅里叶级数，所以离散周期信号的频谱 是一个周期的周期性离散频谱，各谱线之间的间隔为 ，而且存在着谐波的关系。 -DFT application of the Fourier transform, analyze discrete signal x (k) of the spectrum. Discrete signal cycle can begin as Fourier series, the discrete sig
ofdmsystemmatlab
- 基于能量检测和周期循环检测的认知无线电频谱检测matlab代码 用周期循环检测算法检测： 首先运行a.m程序，通过此程序运算得出循环频率a值； 再运行zhouqi.m程序，对a值进行确定，通过周期循环算法对信号进行检测； 用能量检测算法检测： 运行nengliang.m检测程序，使用能量检测对信号进行检测。 检测完毕，对检测性能进行分析。 -Cognitive radio based on energy detection spectrum detecti
matlabpinpufenxi
- matlab各种周期信号的频谱分析 。-matlab various periodic signal range of the spectrum analyzer matlab cycle spectrum analysis of signals.
Signal_system_Experiment
- 信号与系统实验源代码 包括：实验一 周期信号的谐波逼近，幅频相频分析；实验二 simulink信号的抽样和内插； 实验三 GUIDE二阶状态轨迹的显示；实验四 Wav信号的波形分析及频谱分析-Signals and systems including source code of the experiment: The experiment of a periodic signal of the harmonic approximation, the amplitude-frequency
duanshi_fft
- 离散数据频谱分析，采样数据进行离散后，获取信号中的周期运动信息-matlab，FFT，frenquence chart
DFT
- 利用DFT法求周期信号的功率谱,实现离散傅立叶变换DFT,最后分析得到频谱幅度.-DFT method using the power spectrum of periodic signals seeking to achieve the Discrete Fourier Transform DFT, the final analysis, amplitude spectrum obtained
pingjunzhouqitu
- 利用平均周期图法的进行功率谱估计，得到信号的频谱幅度。-Use the average periodogram method for power spectrum estimation, be the signal amplitude spectrum.
lianxuzhouqixinhaopinpufenxi
- 该文件包括了连续周期信号的单边带及双边带频谱分析的所有源代码及仿真波形，设计完整，而且符合要求。-The document includes a continuous cycle, and bilateral single-sideband signal with a spectral analysis of all source code and simulation waveforms, design integrity, but also meet the requirement.
OOK_Psd
- 周期高斯一介导、高斯二介导即高斯脉冲（即UWB信号）的功率谱图像，对应不同的占空比和不同的脉冲形式，随着阶数的增加中心频率右移，频谱也为高斯形式，且随着周期数增多，呈现线谱形式-Cycle Gaussian ordinary derivative, ie the Gaussian two-mediated Gaussian pulse (the UWB signal) of the power spectrum image, corresponding to different pulse du
peridogramse
- 本程序在MATLAB开发环境下，用周期图谱估计的方法对信号的频谱进行了估计，估计结构为两个频率分量。-The procedure developed in the MATLAB environment, with the cycle map estimation method to estimate the signal s spectrum, estimated structure for the two frequency components
DFT-calculations
- 用DFT计算连续信号的谱 通过应用 DFT 进一步加深对离散信号 DTFT 和 DFT 的概念及其相互关 系的理解。 =利用 DFT 计算连续周期信号的频谱-DFT calculations using a continuous signal by applying the DFT spectrum of discrete signals to further deepen the concept of DTFT and DFT and their mutual understanding of
Self_Function
- 离散周期信号的Fourier级数频谱分析-Fourier series discrete periodic signal spectrum analysis
spectrum-estimation
- 对带有随机相位和随机噪声的线谱信号，实现周期图谱估计、多重信号分类（MUSIC）两种方法对频谱的估计。代码效率高，可扩展性好。-Of random noise with random phase and the line spectrum signal, spectrum estimation period, multiple signal classification (MUSIC) two methods of spectrum estimation. Code efficiency, go
DFT
- 用DFT近似计算连续时间周期信号的频谱，对matlab新手适用。-Approximate calculation using DFT spectrum of continuous-time periodic signal of matlab novice apply.
Application-of-MATLAB-in-the-signal
- 1、连续时间信号在MATLAB中的表示 2、连续时间信号在MATLAB中的应用 3、连续时间信号的卷积计算 4、连续时间LTI系统的时域分析 5、周期信号的傅里叶级数及频谱分析 6、傅里叶变换及其性质 7、连续时间LTI系统的频率特性分析及频域分析 8、信号抽样及抽样定理 9、拉普拉第五章 连续时间LTI系统的时域分析 斯变换 -A continuous-time signal representation in MATLAB 2, continuous
OFDM-SENSING
- 基于OFDM/QPASK信号的周期循环频谱感知算法 认知无线电应用-Based on OFDM/QPASK signal cycle of the spectrum perception algorithm
bin
- 信号频谱分析方法一级使用非参数方法直接使用信号进行功率谱估计，以周期图法为例，提供了周期图法和welch法估计信号功率谱(The signal spectrum analysis method uses the nonparametric method to directly use the signal to estimate the power spectrum. The periodogram method is used as an example to provide the peri
XiangWeiChaFa
- 利用两段信号的相对差，对非整周期采用信号的频谱进行幅值和相位的校正。(The amplitude and phase of the signal spectrum are corrected by using the relative difference of the two segment signals.)
NongLiangZHongXinFa
- 利用频谱线的能量重心原理完成对非整周期采样信号的频谱的幅值和相位的校正。(The amplitude and phase correction of the spectrum of the non periodic sampling signal is completed by using the energy barycenter principle of the spectrum line.)
周期信号的频谱分析
- 通过Matlab编写M文件实现了对矩形脉冲周期信号的时域波形和频谱分析。(Time domain waveform and spectrum analysis of rectangular pulse periodic signals are realized by writing M files in Matlab.)