transFORm-domain

Shape Detection using Hough Transform in Matlab

Shape Detection using Hough Transform in Matlab

标签： Detection Transform Matlab Shape

上传时间： 2013-12-15

上传用户：远远ssad
2d wavelet transform

2d wavelet transform

标签： transform wavelet 2d

上传时间： 2013-12-29

上传用户：vodssv
a PML FDTD. computational domain

a PML FDTD. computational domain

标签： computational domain FDTD PML

上传时间： 2017-05-23

上传用户：独孤求源
Frequency Domain Blind MIMO System Identification Based on Second- and Higher Order Statistics

Frequency Domain Blind MIMO System Identification Based on Second- and Higher Order Statistics

标签： Identification Statistics Frequency Domain

上传时间： 2017-05-24

上传用户：VRMMO
This program take a two sequences with differents lengths and transform in two sequences with same l

This program take a two sequences with differents lengths and transform in two sequences with same length with use zero padding method.

标签： sequences with differents two

上传时间： 2017-05-27

上传用户：kikye
A implementation of the discrete Fourier transform in visual basic classic.

A implementation of the discrete Fourier transform in visual basic classic.

标签： implementation transform discrete Fourier

上传时间： 2013-11-29

上传用户：caiiicc
hough transform for detecting line

hough transform for detecting line

标签： detecting transform hough line

上传时间： 2013-12-11

上传用户：llandlu
FFTGUI Demonstration of Finite Fourier Transform. FFTGUI(y) plots real(y), imag(y), real(fft(y)

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

标签： FFTGUI real Demonstration Transform

上传时间： 2017-06-05

上传用户：anng
Fast Channel Shortening using Frequency Domain

Fast Channel Shortening using Frequency Domain

标签： Shortening Frequency Channel Domain

上传时间： 2017-06-20

上传用户：lijinchuan
The Hilbert Transform is an important component in communication systems, e.g. for single sideband m

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.

标签： e.g. communication Transform important

上传时间： 2017-06-25

上传用户：gxf2016