Description: 输入一个低频率的正弦波和一个高频的正弦波叠加而成,通过观察频域图和时域图,低频波通过了滤波器,高频大部分被滤除-input of a low-frequency sine wave and a high-frequency sine wave overprinted, By observing frequency domain and time domain map plan, low-frequency waves through the filter, the majority of high-frequency filtering Platform: |
Size: 6507 |
Author:于海宾 |
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Description: 输入一个低频率的正弦波和一个高频的正弦波叠加而成,通过观察频域图和时域图,低频波通过了滤波器,高频大部分被滤除-input of a low-frequency sine wave and a high-frequency sine wave overprinted, By observing frequency domain and time domain map plan, low-frequency waves through the filter, the majority of high-frequency filtering Platform: |
Size: 36864 |
Author:于海宾 |
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Description: 录制一段个人自己的语音信号，并对录制的信号进行采样；画出采样后语音信号的时域波形和频谱图；给定滤波器的性能指标，采用窗函数法和双线性变换设计滤波器，并画出滤波器的频率响应；然后用自己设计的滤波器对采集的信号进行滤波，画出滤波后信号的时域波形和频谱，并对滤波前后的信号进行对比，分析信号的变化；回放语音信号；最后，设计一个信号处理系统界面。-Record a person s own voice signal, and recording the signal sampling draw sample after the speech signal time-domain waveform and frequency spectrum given filter performance indicators, using a window function method and the bilinear transform filter design and draw the frequency response filter then use the filter of their own design for the signal acquisition filtering, after filtering the signal to draw the time-domain waveform and spectrum, and filtering of signals before and after contrast, analysis of signal changes playback of voice signal Finally, the design of a signal processing system interface. Platform: |
Size: 2048 |
Author:yim |
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Description: MATLAB实现对录音信号的滤波，包括低通，高通和带通，以及时域和频域分析-MATLAB realize filtering of audio signals, including low-pass, high pass and band-pass, as well as the time domain and frequency domain analysis Platform: |
Size: 203776 |
Author:liguang |
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Description: Matlab和Labview混合编程，可以演示信号的白噪声添加和滤波，以及时域和傅立叶变换后的频域波形-Matlab and Labview mixed programming, you can demo the white noise signal add and filtering, as well as the time-domain and Fourier transformed frequency domain waveform Platform: |
Size: 67584 |
Author:许昕 |
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Description: 是一种很重要的滤波方式，时域频域联合起来-Is a very important way of filtering, frequency domain time domain together Platform: |
Size: 2048 |
Author:刘娜 |
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Description: 介绍了一种荃于MATLAB数字信号处理工具箱、MATLAB数据分析和MATLAB圈形对
象的时变数字信号瞬时频率枯计方法。这种方法利用时频分析结果来估计信号的麟时频率，其
中涉及时频分析、滤波、曲线拟合辞多种处理过程。处理过程的编程实现封较于用户界面上作
为文互工具的控件中，由用户通过交互界面逐步完成估计瞬时预率的工作.-Tsuen introduced a digital signal processing in the MATLAB toolbox, MATLAB and MATLAB data analysis of ring-shaped object digital signal time-varying instantaneous frequency of dry method. This method using the results of time-frequency analysis to estimate the signal frequency CHU, which involves time-frequency analysis, filtering, curve fitting a variety of speech processing. Programming process to achieve closure on the user interface than the text of each other as a control tool, by the user interface step by step through the completion of pre-estimated instantaneous rate of work. Platform: |
Size: 162816 |
Author:sunrong |
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Description: 基于分数阶傅里叶变换的线性调频信号的自适应时频滤波，希望对大家有用-Based on Fractional Fourier Transform Linear FM signal adaptive time-frequency filtering and hope for all of us Platform: |
Size: 94208 |
Author:高青松 |
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Description: 英文最新版数字图像处理基础，包括信号与系统，信号表达与量化，快速算法与结构，数字滤波，统计信号处理，自适应滤波，信号重建，时频和多率信号处理。-Emphasizing theoretical concepts, Digital Signal Processing Fundamentals provides comprehensive coverage of the basic foundations of DSP and includes the following parts: Signals and Systems Signal Representation and Quantization Fourier Transforms Digital Filtering Statistical Signal Processing Adaptive Filtering Inverse Problems and Signal Reconstruction and Time–Frequency and Multirate Signal Processing. Platform: |
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Author:kankan |
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Description: 设计产生一个连续信号，包含低频，中频，高频分量，对其进行采样，进行频谱分析，使用矩形窗设计不同特性的数字滤波器对信号进行滤波处理，分析所设计滤波器(画出了频率特性曲线)，并对信号进行滤波，画出滤波后信号的时域波形和频谱，并对滤波前后的信号进行对比，同时设计出了一个友好的人机交互界面。-Designed to produce a continuous signal, including low frequency, medium frequency, high frequency components, its sampling, spectral analysis, using rectangular windows of different characteristics of digital filter design the signal filtering, analysis of the designed filter (to draw the frequency characteristic curve), and signal filtering, to draw the filtered signal in time domain waveforms and frequency spectrum, and filtering the signal before and after comparison, the mean time, a friendly interactive interface. Platform: |
Size: 76800 |
Author:楚乐 |
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Description: 1.题目：数字滤波器的设计与应用
2.设计要求：利用 Matlab 软件,以复合信号分离为例,对 “数字信号处理” 课程中
的谱分析 、数字滤波器设计和信号滤波这三个过程进行了仿真实现,给出了仿真结果。
3.具体步骤：
（1）构造原始信号s(t)
（2）画出s(t)的频谱
（3）设计ellipse数字滤波器(IIR)，包括低通，带通，带通，并显示幅频特性
（4）用得到的滤波器进行滤波，分离出三路信号，观察时域波形和幅频特性
（5）用三路信号s1,s2,s3尝试重新合成原始信号
4.问题：为什么重新合成的信号和原信号不相等呢？谁能解释一下？谢谢,QQ:664519036- 1. Title: Digital Filter Design and Application
2. Design requirements: use of Matlab software to composite signal separation, for example, on "Digital Signal Processing" course
Of the spectral analysis, digital filter design and signal filtering process carried out three Simulation, the simulation results.
3. Concrete steps:
(1) construct the original signal s (t)
(2) Draw s (t) of the spectrum
(3) design ellipse digital filter (IIR), including low pass, band pass, band pass, and shows amplitude-frequency characteristics
(4) filtering with a filter obtained by the isolation of three signals, observed time-domain waveform and frequency characteristics
(5) with a three-way signal s1, s2, s3 try to re-synthesis of the original signal
4. Question: Why is re-synthesized signal and the original signal is not equal to it? Who can explain? Thank you, QQ: 664519036 Platform: |
Size: 1024 |
Author:张智刚 |
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Description: 本文分析了语音数字信号的采集来源以及其预处理。通过实例，利用Matlab对语音信号进行时频变换与分析，同时构造一个固定频率的干扰信号，对两个信号进行合成，设计数字滤波器，实现对语音信号的F IR、IIR滤波处理，最后在时域和频域中对信号进行分析比较。-This paper analyzes the sources of voice digital signal acquisition and its pretreatment. By example, voice signals using Matlab time-frequency transform and analysis, and construct a fixed-frequency interference signals, the two signal synthesis, design digital filters to realize the speech signal F IR, IIR filtering, and finally time domain and frequency domain signal analysis and comparison. Platform: |
Size: 386048 |
Author:孙洋 |
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Description: 时频分析的雷达信号滤波方法Time-frequency analysis of radar signal filtering-Time-frequency analysis of radar signal filtering Platform: |
Size: 338944 |
Author:gain |
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Description: 用于高校学生 转子振动台轴跳动轨迹分析仿真实验。采用正交的具有相位差的两列正弦波来模拟传感器测到的X方向和Y方向的轴跳动。包括信号的时频分析，滤波处理，叠加还原和边界检验。参数可自定-For college students beat the rotor shaft vibration table trajectory analysis simulation. With orthogonal phase difference of two sine waves to simulate the sensor measured the X-axis direction and Y direction of beating. Including time-frequency analysis, filtering, reduction and border overlay test. Parameters can be customized Platform: |
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Author: |
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Description: Information of crop phenology is essential for evaluating crop productivity and crop management. Therefore we developed a new
method for remotely determining phenological stages of paddy rice. The method consists of three procedures: (i) prescription of multi-
temporal MODIS/Terra data (ii) filtering time-series Enhanced Vegetation Index (EVI) data by time-frequency analysis and (iii)
specifying the phenological stages by detecting the maximum point, minimal point and inflection point from the smoothed EVI time
profile. Applying this method to MODIS data, we determined the planting date, heading date, harvesting date, and growing period in
2002. And we validated the performance of the method against statistical data in 30 paddy fields. As for the filtering, we adopted wavelet
-Information of crop phenology is essential for evaluating crop productivity and crop management. Therefore we developed a new
method for remotely determining phenological stages of paddy rice. The method consists of three procedures: (i) prescription of multi-
temporal MODIS/Terra data (ii) filtering time-series Enhanced Vegetation Index (EVI) data by time-frequency analysis and (iii)
specifying the phenological stages by detecting the maximum point, minimal point and inflection point from the smoothed EVI time
profile. Applying this method to MODIS data, we determined the planting date, heading date, harvesting date, and growing period in
2002. And we validated the performance of the method against statistical data in 30 paddy fields. As for the filtering, we adopted wavelet
Platform: |
Size: 334848 |
Author:Pham Duy Tien |
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Description: 。给出了时域滤波的基本原理以及通常采用的
IIR 椭圆地物杂波滤波器的设计方法。重点研究了回归滤波器这一时域滤波算
法。从正交多项式的拟合出发，给出了回归滤波器抑制地物杂波的基本原理及
其滤波实现过程。通过对回归滤波器的计算复杂度的研究，寻找使回归滤波器
计算量最小的正交多项式。分析了回归滤波器频率响应特性，比较了回归滤波
器与IIR 椭圆地物杂波滤波器的计算复杂度。利用仿真的雷达信号，分析了回
归滤波器的地物杂波抑制性能。回归滤波器实际上是一高通滤波器，它在滤掉
低频地物杂波的同时，对落在滤波器阻带内的天气回波信号同样会造成衰减。
在天气回波信号谱宽固定的情况下，通过改变天气回波信号的平均多普勒频率，
分析了回归滤波器对它的衰减情况。在基于一组实际采集的雷达信号的基础上，
给出了回归滤波器的地物杂波抑制比随着滤波器阶数的变化情况。-Firstly, this dissertation introduces the research background and significance of
ground clutter suppression, analyzes the characteristics of the ground clutter and
weather signals in the Doppler weather radars and simulates Doppler radar echo
signals (It includes ground clutter, weather echo signals and the mixture of them).
The simulated signals are used later to study the time and frequency domain ground
clutter suppression.
Secondly, this dissertation talks about the time domain filtering, gives the basic
theory of time domain filtering and describes the design method of the usually used
fifth-order elliptic infinite impulse response (IIR) ground clutter filter. In the time
domain, the work focuses on the regression filter. From the orthogonal polynomials
fit, this dissertation gives the basic theory of the regression filter for ground clutter
suppression and the filtering process using a regression filter. Through the study of
the computational complexity of regression Platform: |
Size: 842752 |
Author:刘小洋 |
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Description: 一篇英文文献-基于s变换和TT变换的时频和实施滤波-An English literature- based s transform and TT transform filter frequency and implementation Platform: |
Size: 1909760 |
Author:fengyaping |
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Search - time frequency filtering