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改变原始wav音频信号的抽样频率,并且显示处理前后声音信号的频谱.有助于帮助大家理解奈圭斯特抽样定理。-Change the original wav audio signal sampling frequency, and shows the spectrum of sound signal before and after treatment. Helps to help you understand the Nyquist sampling theorem.
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This package contains scr ipt to calculate aliasing for given time domain signal. scr ipt to plot in time domain the function: x(t)=A0cos(2pif0t)+A1cos(2pif1t)
where fs1=300 Hz and fs2=150 Hz (sampling rate)
A0 and A1 are amplitude s signal (a
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采样定理的simulink仿真,验证奈奎斯特率的影响。-Sampling theorem simulink simulation to verify the Nyquist rate.
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关于压缩感知重构算法, 压缩感知(Compressive Sensing, or Compressed Sampling,简称CS),是近几年流行起来的一个介于数学和信息科学的新方向,由Candes、Terres Tao等人提出,挑战传统的采样编码技术,即Nyquist采样定理。-Reconstruction algorithm on compressed sensing, compressive sensing (Compressive Sensing, or Compressed Sampl
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matlab实现,验证奈奎斯特采样定理,对信号求傅里叶变换的数值解,数值求解,画出时域图,频域图-matlab implementation, verification Nyquist sampling theorem, Fourier transform of the signal find the numerical solution, numerical solution, draw the graph in time domain, frequency domain graph
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:压缩感知是近年来应用数学界提出的一套关于稀疏信号采集和重构的新理论,它突破了传统奈奎斯特采样定理
的限制,以远少于传统奈奎斯特采样定理所需的测量数据就能够精确恢复原信号或估计信号的相关参数。将压缩感知理论应
用到DOA估计,可以解决传统DOA估计中高采样率、以及较多辐射源信号条件下难以定位的限制。研究了基于压缩感知理
论的DOA估计方法,并利用MATLAB进行仿真,通过与传统MUSIC算法比较可知,基于压缩感知的DOA估计方法具有显著
的优势-The theory of Com
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