Search - frequency domain filter

Search - frequency domain filter - List

[Other resource] fdaf_7 DL : 0: 频域和子带自适应滤波器，在频域进行滤波器参数调整-frequency domain and sub-band adaptive filter in the frequency domain filter parameter adjustment
Date : 2008-10-13 Size : 5.53kb User : 谢晓丹
[Other resource] 03607_28 DL : 0: 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.
Date : 2008-10-13 Size : 145.31kb User : qinyang
[Other resource] FIR010 DL : 0: 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
Date : 2008-10-13 Size : 6.35kb User : 于海宾
[Other resource] Fusion DL : 0: 3D reconstruction, medical image processing from colons, using intel image processing for based class. This source code. Some code missing but I think you can understand it. Development version. This source code is very interesting for learning segmentation and registration from dataset. This code also has some technique about GPU image processing for ray tracing. Also learn many filter apply for transform from spatial domain to frequency domain.
Date : 2008-10-13 Size : 1.42mb User : Son Tran