Description: 这是一个用matlab语言编写的小波变换的程序,是时频分析的一种,可以在时域和频域内对信号进行分析。-using Matlab language of the wavelet transform procedure is time-frequency analysis of a kind in the time domain and frequency domain analysis of the signal. Platform: |
Size: 1884161 |
Author:赵扬 |
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Description: 一个用matlab作时频分析的代码,大家可以看看他的分析方式-using Matlab for a time-frequency analysis of the code, we can look at his methods of analysis Platform: |
Size: 1024 |
Author:李华康 |
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Description: 在用matlab的时频分析中,不是所有信号的wvd都是可以,一些特殊的信号要用特殊的窗口来得到较好的效果-using Matlab in the time-frequency analysis, not all signals can be wvd, some special signal use special window to get good results Platform: |
Size: 4096 |
Author:李华康 |
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Description: 这是一个用matlab语言编写的小波变换的程序,是时频分析的一种,可以在时域和频域内对信号进行分析。-using Matlab language of the wavelet transform procedure is time-frequency analysis of a kind in the time domain and frequency domain analysis of the signal. Platform: |
Size: 1884160 |
Author:赵扬 |
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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: 用模糊函数法进行时频分析,特别好的程序,本人写论文用到的。-Ambiguity function method using time-frequency analysis, in particular, a good program, I used to write papers. Platform: |
Size: 1024 |
Author:王瑞玲 |
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Description: JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the purpose of analyzing data. It consists of four hundred m-files spanning thirty thousand lines of code. JLAB includes functions ranging in complexity from one-line aliases to high-level algorithms for certain specialized tasks. These have been collected together and made publicly available for you to use, modify, and --- subject to certain very reasonable constraints --- to redistribute.
Some of the highlights are: a suite of functions for the rapid manipulation of multi-component, potentially multi-dimensional datasets a systematic way of dealing with datasets having components of non-uniform length tools for fine-tuning figures using compact, straightforward statements and specialized functions for spectral and time / frequency analysis, including advanced wavelet algorithms developed by myself and collaborators.
-JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the purpose of analyzing data. It consists of four hundred m-files spanning thirty thousand lines of code. JLAB includes functions ranging in complexity from one-line aliases to high-level algorithms for certain specialized tasks. These have been collected together and made publicly available for you to use, modify, and--- subject to certain very reasonable constraints--- to redistribute.
Some of the highlights are: a suite of functions for the rapid manipulation of multi-component, potentially multi-dimensional datasets a systematic way of dealing with datasets having components of non-uniform length tools for fine-tuning figures using compact, straightforward statements and specialized functions for spectral and time/frequency analysis, including advanced wavelet algorithms developed by myself and collaborators.
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Size: 3008512 |
Author:chenxuzhen |
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Description: 采用MATLAB分析WAV文件。
步骤一:选择一个WAV文件作为分析的对象 。(ding.wav)
步骤三:进行 FFT变换并画频域图形 。
步骤四:进行该声波主要频谱的分析。
步骤五:根据该声音的频谱,反演时域图形 。(有失真)
步骤六:进行付立叶逆变换IFFT并画频域图形 。-WAV file analysis using MATLAB. Step One: Select a WAV file as the target of analysis. (Ding.wav) Step Three: Transform and painting to FFT frequency domain graphics. Step four: the main frequency spectrum of the acoustic analysis. Step 5: According to the sound spectrum, inversion of time-domain graphics. (With distortion) Step six: to carry out inverse Fourier transform frequency domain IFFT and painted graphics. Platform: |
Size: 64512 |
Author: |
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Description: 利用matlab实现的时频分析,很好,很强大!-Using matlab to achieve the time-frequency analysis, very good, very powerful! Platform: |
Size: 1894400 |
Author:lichen |
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Description: 语音频率分析使用matlab实现,很经典了-Voice frequency analysis using matlab implementation, it is the classic of the Hehe Platform: |
Size: 3072 |
Author:qweqwe |
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Description: (转载,供matlab新手学习用)简单信号的频谱分析,非常经典。包括正弦信号,矩形波,白噪声三类信号的频谱分析,很详细,代码有注解。- frequency analysis of signal using Matlab Platform: |
Size: 1024 |
Author:zhangrongjie |
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Description: 求解瞬时频率函数,一般在matlab时频分析中使用-Solve the instantaneous frequency function, usually in the time-frequency analysis using matlab Platform: |
Size: 2048 |
Author:jimbo_yi |
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Description: Radar Systems Analysis and Design Using MATLAB
by Bassem R. Mahafza
Chapter 1
Radar Fundamentals
1.1. Radar Classifications
1.2. Range
MATLAB Function “pulse_train.m”
1.3. Range Resolution
MATLAB Function “range_resolution.m”
1.4. Doppler Frequency
MATLAB Function “doppler_freq.m”
1.5. Coherence
1.6. The Radar Equation
MATLAB Function “radar_eq.m”
1.6.1. Low PRF Radar Equation
MATLAB Function “lprf_req.m”
1.6.2. High PRF Radar Equation
MATLAB Function “hprf_req.m”
1.6.3. Surveillance Radar Equation
MATLAB Function “power_aperture_eq.m”
1.6.4. Radar Equation with Jamming
Self-Screening Jammers (SSJ)
MATLAB Program “ssj_req.m”
Stand-Off Jammers (SOJ)
MATLAB Program “soj_req.m”
Range Reduction Factor
MATLAB Function “range_red_fac.m” Platform: |
Size: 4774912 |
Author:Rakesh |
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Description: 专门介绍利用matlab软件进行时间-频率分析的电子书,希望对大家有帮助-Devoted to using matlab software for time- frequency analysis of the e-book, and I hope all of you to help Platform: |
Size: 14187520 |
Author:li |
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Description: 集合了多种频谱分析方法,利用matlab进行编程分析,文件含有多种代码。-Collection of a variety of spectral analysis method , using matlab programming analysis , the file contains a variety of code Platform: |
Size: 4096 |
Author:zhb |
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Description: 在利用matlab进行时频分析时,需要调用很多有话函数,而此类优化函数在matalb自带的工具箱没有,此为建模工具箱,用着自用-In the time-frequency analysis using matlab, you need to have something called a lot of functions, and such optimization function comes in matalb toolbox is not, this is the modeling toolkit, with a personal use Platform: |
Size: 398336 |
Author:王文书 |
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Description: 加入重复控制,处理信号的时频分析,用MATLAB实现动态聚类或迭代自组织数据分析。- Join repetitive control, When processing a signal frequency analysis, Using MATLAB dynamic clustering or iterative self-organizing data analysis. Platform: |
Size: 5120 |
Author:mingqengfietun |
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Description: FMCW调频连续波雷达的测距测角,处理信号的时频分析,利用matlab写成的窄带噪声发生。- FMCW frequency modulated continuous wave radar range and angular measurements, When processing a signal frequency analysis, Using matlab written narrowband noise occurs. Platform: |
Size: 8192 |
Author:banleigiu |
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Description: 语音频谱的转换程序,MATLAB语音,同时用其他滤波的方式进行分析(matlabVoice frequency conversion process, MATLAB voice, while using other filtering methods for analysis) Platform: |
Size: 788480 |
Author:zhaoyuan
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Description: The speech signal for the particular isolated word can be viewed as the one generated using the sequential generating probabilistic model known as hidden Markov
model (HMM). Consider there are n states in the HMM. The particular isolated
speech signal is divided into finite number of frames. Every frame of the speech
signal is assumed to be generated from any one of the n states. Each state is modeled as the multivariate Gaussian density function with the specified mean vector
and the covariance matrix. Let the speech segment for the particular isolated word
is represented as vector S. The vector S is divided into finite number of frames
(say M). The i th frame is represented as Si . Every frame is generated by any of the n
states with the specified probability computed using the corresponding multivariate
Gaussian density model. Platform: |
Size: 787456 |
Author:Khan17
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