<strike id="16611"></strike>
Shape Detection using Hough Transform in Matlab
標(biāo)簽： Detection Transform Matlab Shape
上傳時(shí)間： 2013-12-15
上傳用戶：遠(yuǎn)遠(yuǎn)ssad
2d wavelet transform
標(biāo)簽： transform wavelet 2d
上傳時(shí)間： 2013-12-29
上傳用戶：vodssv
a PML FDTD. computational domain
標(biāo)簽： computational domain FDTD PML
上傳時(shí)間： 2017-05-23
上傳用戶：獨(dú)孤求源
Frequency Domain Blind MIMO System Identification Based on Second- and Higher Order Statistics
標(biāo)簽： Identification Statistics Frequency Domain
上傳時(shí)間： 2017-05-24
上傳用戶：VRMMO
This program take a two sequences with differents lengths and transform in two sequences with same length with use zero padding method.
標(biāo)簽： sequences with differents two
上傳時(shí)間： 2017-05-27
上傳用戶：kikye
A implementation of the discrete Fourier transform in visual basic classic.
標(biāo)簽： implementation transform discrete Fourier
上傳時(shí)間： 2013-11-29
上傳用戶：caiiicc
hough transform for detecting line
標(biāo)簽： detecting transform hough line
上傳時(shí)間： 2013-12-11
上傳用戶：llandlu
FFTGUI Demonstration of Finite Fourier Transform. FFTGUI(y) plots real(y), imag(y), real(fft(y)) and imag(fft(y)). FFTGUI, without any arguments, uses y = zeros(1,32). When any point is moved with the mouse, the other plots respond. Inspired by Java applet by Dave Hale, Stanford Exploration Project, http://sepwww.stanford.edu/oldsep/hale/FftLab.html
標(biāo)簽： FFTGUI real Demonstration Transform
上傳時(shí)間： 2017-06-05
上傳用戶：anng
Fast Channel Shortening using Frequency Domain
標(biāo)簽： Shortening Frequency Channel Domain
上傳時(shí)間： 2017-06-20
上傳用戶：lijinchuan
The Hilbert Transform is an important component in communication systems, e.g. for single sideband modulation/demodulation, amplitude and phase detection, etc. It can be formulated as filtering operation which makes it possible to approximate the Hilbert Transform with a digital filter. Due to the non-causal and infinite impulse response of that filter, it is not that easy to get a good approximation with low hardware resource usage. Therefore, different filters with different complexities have been implemented. The detailed discussion can be found in "Digital Hilbert Transformers or FPGA-based Phase-Locked Loops" (http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4629940). The design is fully pipelined for maximum throughput.
標(biāo)簽： e.g. communication Transform important
上傳時(shí)間： 2017-06-25
上傳用戶：gxf2016
蟲蟲下載站版權(quán)所有 京ICP備2021023401號(hào)-1
