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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.
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Size: 3193 |
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.
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Size: 148801 |
Author: qinyang |
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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.
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Author: qinyang |
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Description: An Introduction To Compressive Sampling-Conventional approaches to sampling signals or images follow Shannon’s celebrated theorem: the sampling rate must be at least twice the maximum frequency present in the signal (the so-called Nyquist rate). In fact, this
principle underlies nearly all signal acquisition protocols used in consumer
audio and visual electronics, medical imaging devices, radio receivers, and
so on. (For some signals, such as images that are not naturally bandlimited, the sampling
rate is dictated not by the Shannon theorem but by the desired temporal or spatial
resolution. However, it is common in such systems to use an antialiasing low-pass filter
to bandlimit the signal before sampling, and so the Shannon theorem plays an implicit
role.) In the field of data conversion, for example, standard analog-to-digital converter
(ADC) technology implements the usual quantized Shannon representation: the signal is
uniformly sampled at or above the Nyquist rate
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Author: yjsdqq |
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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.
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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--
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Size: 1024 |
Author: actinio |
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Description: 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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Size: 6144 |
Author: 王于斐 |
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Description: 运用仿真抽样信号的频谱, 分析满足不同条件下的抽样情况、验证奈奎斯特抽样定理不同量化电平情况下的信噪-The use of simulation sampling frequency spectrum, analyzing a sample under different conditions to meet the situation, verify the Nyquist sampling theorem under different quantization level of the signal to noise
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Size: 415744 |
Author: 至尊宝 |
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Description: 压缩传感，MATLAB，图像重建，正交匹配追踪，打破乃奎斯特定理-Compressed sensing, MATLAB, image reconstruction, orthogonal matching pursuit, breaking the Nyquist Theorem
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Size: 50176 |
Author: 张海如 |
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Description: 压缩传感，MATLAB，信号重建，正交匹配追踪，打破乃奎斯特定理-Compressed sensing, MATLAB, signal reconstruction, orthogonal matching pursuit, breaking the Nyquist Theorem
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Size: 8192 |
Author: 张海如 |
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Description: 压缩传感，MATLAB，图像重建，正交匹配追踪，打破乃奎斯特定理，图像分块处理-Compressed sensing, MATLAB, image reconstruction, orthogonal matching pursuit, breaking the Nyquist theorem, the image block processing
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Size: 53248 |
Author: 张海如 |
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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.
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Author: zhongyi |
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Description: 一篇关于压缩感知的经典文章，压缩感知（Compressed sensing，简称CS，也称为Compressive sampling)理论异于近代奈奎斯特采样定理，它指出：利用随机观测矩阵可以把一个稀疏或可压缩的高维信号投影到低维空间上，然后再利用这些少量的投影通过解一个优化问题就可以以高概率重构原始稀疏信号，并且证明了这样的随机投影包含了原始稀疏信号的足够信息。-A classic article on compressed sensing, compressive sensing (Compressed sensing, referred to as CS, also known as Compressive sampling) different from the modern theory of the Nyquist sampling theorem, which states: the use of a random measurement matrix can be sparse or compressible high-dimensional signal projected to low dimensional space, and then use a small amount of projection by solving an optimization problem to be sparse with high probability to reconstruct the original signal, and prove that random projection of the original sparse signal contains enough information.
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Author: 刘奎 |
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Description: 基于奈奎斯特稳定性分析的分散PI控制器设计 其中包括：列主对角占优定理、盖尔圆环定理、 对角优势系统的稳定性仅仅取决于其传递函数的主对角元素等等
-Nyquist stability analysis based on the decentralized PI controller design, including: the column diagonal dominance theorem, Gail circle theorem, diagonal dominant system, the stability of the transfer function only depends on its main diagonal elements, etc. etc.
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Author: 李牧 |
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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
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Size: 1024 |
Author: 白叶叶 |
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Description: 关于那奎斯特采样定理的原理和知识点，知识全面-On the principle that the Nyquist sampling theorem and knowledge points, a comprehensive knowledge
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Size: 21504 |
Author: liumengyi |
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Description: Nyquist sampling theorem
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Size: 2048 |
Author: Nikitha Valakonda |
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Description: effect of sampling and fm spectrum is the implementation and visualization of nyquist theorem and also shows FM spectrum that have ideally infinite band width
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Size: 1024 |
Author: abinashkaji |
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Description: 奈奎斯特抽样定理
记录一段语音，画出其频域和时域波形-Nyquist sampling theorem
Record a voice, to draw its frequency-domain and time-domain waveform
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Size: 2048 |
Author: 赵嘉琦 |
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