Search - frequency domain filter

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[Program doc] gmsk DL : 0: ：为了论证高斯最小频移键控(GMSK)信号在时域和频域的相互关系，分析了GMSK信号调制原理和滤波器传递函数，建立了GMSK调制和解调模型。-: In order to demonstrate Gaussian Minimum Shift Keying (GMSK) signal in time domain and frequency domain, the relationship between the analysis of GMSK signal modulation principle and the filter transfer function established model for GMSK modulation and demodulation.
Date : 2025-12-13 Size : 8.25mb User : hao
[Program doc] Filter-based_single-carrier_frequency_domain_equal DL : 0: 　研究了基于滤波器组的单载波频域均衡技术的基本原理和实现方法,通过系统对比基于滤波器组的方法与基于FFT方法的异同之处,从其产生的机理上阐明了基于滤波器组的单载波频域均衡技术能够克服FFT 方式的主要缺点的原因-Of filter-based single-carrier frequency domain equalization technology, the basic principle and method, through the system, filter-based approach compared with the FFT method based on the similarities and differences between, from production to clarify the mechanism of the filter-based single-carrier frequency domain equalization techniques to overcome the main drawback of FFT method because
Date : 2025-12-13 Size : 259kb User : 姜烨
[Program doc] IEEEXplore DL : 0: this my article about PhCMC filters title : "Tuneable Silicon Photonic Crystal Microcavity Filter by Using Nonuniform Structures" Abstract: A silicon photonic crystal microcavity filter is simulated and analysed using the finite difference time domain method, to have a proper pass band around the desired frequency of 1550nm. We found that it is possible to have a reasonable tenability and transmittance at a special frequency using tapered and non-symmetric structure. Keywords: Photonic crystals, filters, finite difference time domain -this is my article about PhCMC filters title : "Tuneable Silicon Photonic Crystal Microcavity Filter by Using Nonuniform Structures" Abstract: A silicon photonic crystal microcavity filter is simulated and analysed using the finite difference time domain method, to have a proper pass band around the desired frequency of 1550nm. We found that it is possible to have a reasonable tenability and transmittance at a special frequency using tapered and non-symmetric structure. Keywords: Photonic crystals, filters, finite difference time domain
Date : 2025-12-13 Size : 86kb User : MT.A.
[Program doc] Single-Channel-Blind-Identification-with-FIR-Filt DL : 0: Single-Channel Blind Identification with FIR Filter Design in Frequency Domain
Date : 2025-12-13 Size : 154kb User : farhad
[Program doc] LowFilter DL : 0: 实现各种数字滤波器C程序，将产生的数据，经Matlab进行频域变化可绘出滤波器的幅频特性和相频特性-Achieve a variety of digital filters C program will generate the data changes in the frequency domain plot of the amplitude-frequency characteristics of the filter and phase-frequency characteristic, Matlab
Date : 2025-12-13 Size : 1kb User : 彭波
[Program doc] Noise-reduction-algorithm DL : 0: 对设备进行故障诊断的主要方法就是测量故障设备的振动或噪声, 并对其进行分析, 从而找出故障原因。然而振动或噪声信号中除了对分析故障有用的信息外, 还有大量的噪声成分。只有有效地滤除噪声, 才能获得有用的信息, 从而得到可靠的分析结论。传统的滤噪方法是将被噪声污染的信号通过一个滤波器, 滤掉噪声频率成分。但对于短时瞬态信号、非平稳信号、含宽带噪声的信号, 采用传统处理方法有着明显的局限性。小波变换为信号去噪提供了一种有效的方法, 小波阈值去噪具有传统方法不可比拟的优越性。但是小波分解的频域重叠性和阈值选取的不确定性, 使得小波阈值去噪法有也不能得到理想效果。-Equipment fault diagnosis method is to measure the fault Equipment vibration or noise, and its analysis in order to identify the cause of the malfunction. Vibration or noise signals, however, in addition to the analyze fault useful information, there is a lot of noise components. Only effectively filter out the noise in order to obtain useful information, to obtain reliable conclusions. Traditional filtering method based noise pollution signal through a filter to filter out the noise frequency components. But for the short-term transient signal, non-stationary signals, including broadband noise signal, using the traditional approach has obvious limitations. The wavelet transform provides an effective method for signal de-noising, wavelet thresholding has incomparable superiority of traditional methods. Wavelet frequency domain overlap threshold uncertainty, the wavelet thresholding method can not get the desired effect.
Date : 2025-12-13 Size : 261kb User : 哈哈
[Program doc] signal_procesing DL : 0: 数字信号处理基于matlab 文件内容 /conv(卷积部分) dupconv 重叠保留法 freqcirconv 频域圆周卷积 freqconv 频域卷积 timecirconv 时域圆周卷积 timeconv 时域卷积 /fft(频域分析部分) d2fft 基2FFT dft DFT最简化程序 dtft DTFT演示 /fir(fir滤波器设计) fir 得到fir滤波器hn getwindow 得到fir滤波器窗函数wn idealfilter 理想滤波器(低通,高通,带通)hdn idealhd 理想低通滤波器 /fir gui(fir滤波器GUI设计) gui_top 总图 gui_fir fir滤波器GUI gui_sigout 选择信号GUI /power caculate(功率谱分析) directpower 直接谱分析 indirectpower 间接谱分析(估计谱分析) noise 噪声谱分析 /sigout(常见信号产生) sigout 离散信号产生-Digital signal processing matlab based on the content of the document/conv (convolution part) dupconv law of reservations freqcirconv overlapping frequency domain circular convolution freqconv frequency domain convolution timecirconv time-domain circular convolution timeconv time-domain convolution/fft (frequency domain analysis part) d2fft base 2FFT dft DFT the most simplified procedure dtft DTFT demo/fir (fir filter design) fir be fir filter hn getwindow be fir filter window function wn idealfilter ideal filter (low pass, high pass, band-pass) hdn idealhd ideal low-pass Filter/fir gui (fir filter GUI design) gui_top general layout gui_fir fir filter selection GUI gui_sigout signal GUI/power caculate (power spectrum analysis) directpower direct spectral analysis indirectpower indirect spectral analysis (spectral analysis estimated) noise noise spectrum analysis/sigout (common signals) sigout discrete signals
Date : 2025-12-13 Size : 38kb User : 夏思源
[Program doc] signal_procesing2014 DL : 0: 数字信号处理基于matlab 文件内容 /conv(卷积部分) dupconv 重叠保留法 freqcirconv 频域圆周卷积 freqconv 频域卷积 timecirconv 时域圆周卷积 timeconv 时域卷积 /fft(频域分析部分) d2fft 基2FFT dft DFT最简化程序 dtft DTFT演示 /fir(fir滤波器设计) fir 得到fir滤波器hn getwindow 得到fir滤波器窗函数wn idealfilter 理想滤波器(低通,高通,带通)hdn idealhd 理想低通滤波器 /fir gui(fir滤波器GUI设计) gui_top 总图 gui_fir fir滤波器GUI gui_sigout 选择信号GUI /power caculate(功率谱分析) directpower 直接谱分析 indirectpower 间接谱分析(估计谱分析) noise 噪声谱分析 /sigout(常见信号产生) sigout 离散信号产生-Digital signal processing matlab based on the content of the document/conv (convolution part) dupconv law of reservations freqcirconv overlapping frequency domain circular convolution freqconv frequency domain convolution timecirconv time-domain circular convolution timeconv time-domain convolution/fft (frequency domain analysis part) d2fft base 2FFT dft DFT the most simplified procedure dtft DTFT demo/fir (fir filter design) fir be fir filter hn getwindow be fir filter window function wn idealfilter ideal filter (low pass, high pass, band-pass) hdn idealhd ideal low-pass Filter/fir gui (fir filter GUI design) gui_top general layout gui_fir fir filter selection GUI gui_sigout signal GUI/power caculate (power spectrum analysis) directpower direct spectral analysis indirectpower indirect spectral analysis (spectral analysis estimated) noise noise spectrum analysis/sigout (common signals) sigout discrete signals
Date : 2025-12-13 Size : 38kb User : 夏思源
[Program doc] DSP DL : 0: MATLAB软件平台下，利用函数wavread对语音信号进行采样，记住采样频率和采样点数； 2）画出语音信号的时域波形，对采样后的语音进行fft变换，得到信号的频谱特性；对语音信号分别加入正弦噪声和白噪声，画出加噪信号的时域波形和频谱图； 3）根据对加噪语音信号谱分析结果，确定滤除噪声滤波器的技术指标，设计合适的数字滤波器，并画出滤波器的频域响应； 4）用所设计的滤波器对加噪的信号进行滤波，在同一个窗口画出滤波前后信号的时域图和频谱图，对滤波前后的信号进行对比，分析信号变化； -Under the MATLAB software platform, using the function wavread voice signal is sampled, the sampling frequency and sampling points to remember 2) Draw the speech signal in the time domain waveforms were sampled voice fft transform, to obtain the spectral characteristics of the signal voice signals were added to the sinusoidal noise and white noise, plus noise signal when drawn-domain waveform and frequency spectrum 3) According to the speech signal plus noise spectral analysis to determine the filter noise filter specifications, design an appropriate digital filter and draw the filter frequency response 4) Use a filter designed to increase the signal-to-noise filtering, draw before and after filtering the signal in the time domain with a window display and the spectrogram of the signal before and after filtering comparative analyzes signal change
Date : 2025-12-13 Size : 1kb User : 张三
[Program doc] 1 DL : 0: 语音信号的延时和混响 1）利用Windows下的录音机或其他软件，录制一段自己的语音信号，时间控制在1s左右，并对录制的信号进行采样； 2）语音信号的频谱分析，画出采样后语音信号的时域波形和频谱图； 3）将信号加入延时和混响，再分析其频谱，并与原始信号频谱进行比较； 4）设计几种特殊类型的滤波器：单回声滤波器，多重回声滤波器，全通结构的混响器，并画出滤波器的频域响应； 5）用自己设计的滤波器对采集的语音信号进行滤波； 6）分析得到信号的频谱，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； 7）回放语音信号。 -1) the use of tape recorders or other software under Windows, record your own voice signal period, the time control in about 1s, and the recorded signal is sampled 2) the spectrum of the speech signal analysis, time domain waveform and frequency spectrum of the speech signal sampled after drawing 3) the signal to the delay and reverb, and then analyze the spectrum, and compare with the original signal spectrum 4) designed several special types of filters: a single echo filter, multi-echo filters, all-pass structure of reverb and draw the filter frequency response 5) use their own design filter for filtering the speech signal acquisition 6) Analysis of the spectrum of the signal obtained after filtering the time-domain waveform and draw spectrum signals, and comparing the signal before and after filtering, analyzing changes in the signal 7) playback voice signal.
Date : 2025-12-13 Size : 1kb User : 张三
[Program doc] kq503 DL : 0: 窗函数法设计一个数字带通FIR滤波器，一种噪声辅助数据分析方法,详细画出了时域和频域的相关图。- A window function design FIR digital band-pass filter, A noise auxiliary data analysis method, Correlation diagram shown in detail the time domain and frequency domain.
Date : 2025-12-13 Size : 8kb User : 滕泉生
[Program doc] DSP_work DL : 0: 进行数字信号处理综合设计与分析，包括采样，频域分析，IIR，FIR滤波器设计及输出结果。(Design and analysis of digital signal processing, including sampling, frequency domain analysis, IIR, FIR filter design and output results.)
Date : 2025-12-13 Size : 4kb User : 米尼西瓜子