Description: 1．了解数字信号处理系统的一般构成；
2．掌握奈奎斯特抽样定理。
为方便实现，实验中更换了一种表现形式，即抽样频率固定（10KHz），通过改变输入模拟信号的频率来展示低通抽样定理。我们可以通过研究抽样频率和模拟信号最高频率分量的频率之间的关系，来验证低通抽样定理。-1. Understanding digital signal processing system of the general composition; 2. Master Nyquist Sampling Theorem. To facilitate the realization of the experiment to replace a form of expression, that is, fixed sampling frequency (10KHz). By changing the input signal frequency to demonstrate low-pass sampling theorem. We can, through research and sampling frequency of the highest frequency analog signal frequency components of the relationship between to verify low-pass sampling theorem. Platform: |
Size: 3072 |
Author:深蓝 |
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Description: DFT进行频谱分析时的三种现象
1、混叠：对连续信号采样，要求连续信号是带限的，采样频率要足够高。Fs应满足Nyquist采样定理才不产生混叠。
采样前加低通滤波器防混叠
2、频谱泄漏：DFT对时域信号进行了截断（相当于采样信号乘了一个窗函数），时域的乘积相当于频域卷积，改变了原信号频谱。
改用其他窗函数（非矩形）改善泄漏。
3、栅栏现象：DFT 只给出了频谱在采样点上的取值，采样点间的频谱内容丢失。-DFT spectrum analysis of a three phenomena, aliasing : continuous signal sampling, requiring continuous signal is band-limited, the sampling frequency should be high enough. Fs meet the Nyquist Sampling Theorem would not have aliasing. Sampling former low-pass filter plus anti-aliasing 2, spectrum leakage : DFT right time domain signal a disconnect (equivalent to a sampling signal by a window function). time domain is equivalent to the product of frequency-domain convolution, changes in the spectrum of the original signal. Window functions to switch to other (non-rectangular) to improve leakage. 3, fenced phenomenon : DFT spectrum is given only at the sampling point value, sampling points of the spectrum as lost. Platform: |
Size: 148480 |
Author:qinyang |
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Description: 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. Platform: |
Size: 143360 |
Author:leo |
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Description: This package contains script to calculate aliasing for given time domain signal. Script 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 (armónicos).
f0 is the maximun component in frecuency of the signal to sample,
when it shows X(t) signal with a sampling frecuency 300 Hz,
we will see Aliasing :)
It s because we aren t meetting with the Nyquist Theorem, because we don t choice Fs>=2FNy Fs(Sampling Frec) FNy(Frec Nyquist) to sample aplying fft(fast fourier transform) with at least 600 Hz.
By actinio --vjgonzalezg@gmail.com-This package contains script to calculate aliasing for given time domain signal. Script 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 (armónicos).
f0 is the maximun component in frecuency of the signal to sample,
when it shows X(t) signal with a sampling frecuency 300 Hz,
we will see Aliasing :)
It s because we aren t meetting with the Nyquist Theorem, because we don t choice Fs>=2FNy Fs(Sampling Frec) FNy(Frec Nyquist) to sample aplying fft(fast fourier transform) with at least 600 Hz.
By actinio --vjgonzalezg@gmail.com-- Platform: |
Size: 1024 |
Author:actinio |
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Description: 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 Sampling, referred to as CS), is popular in recent years, a range of mathematics and information science a new direction, by Candes, Terres Tao et al, challenge the traditional sample coding, that Nyquist sampling theorem. Platform: |
Size: 122880 |
Author:zhongyi |
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Description: 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 Platform: |
Size: 1024 |
Author:白叶叶 |
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Description: ：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 Compressive Sensing(CS)is the application of mathematics in the field of a sparse signal acquisition
and reconstruction of the new theory. It breaks through the traditional limitation of Nyquist sampling theorem. It can recover certain
signals or estimate their parameters far fewer samples or measurements than traditional methods. The application of compressed
sensing theory to DOA estimation can solve the traditional DOA estimation in high sampling rate, as well as more of the radiation
source signal conditions is difficult to position limits. This paper studies the theory of DOA estimation method based on compressed
sensing theory, and simulation uses MATLAB, compared with the traditional MUSIC algorithms, DOA estimation based on
compressed sensing theory method has the obvious advantage Platform: |
Size: 1624064 |
Author:小红 |
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Search - nyquist sampling theorem matlab