Description: 这是matlab视频图像处理中提取图像并将其转化为灰度图像的m文件,这是图像处理中的第一步-This is a matlab video image processing to extract images and translate them into gray image of m documents, this is the first step in image processing Platform: |
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Author:saulbit |
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Description: 完整的OFDM链路程序并作了较为具体的解析从基本的bpsk,qpsk,qam到实际的ofdm系统，cdma链路，mac层仿真分析.-Orthogonal frequency division multiplexing (OFDM) is becoming the chosen
modulation technique for wireless communications. OFDM can provide large data
rates with sufficient robustness to radio channel impairments. Many research centers
in the world have specialized teams working in the optimization of OFDM for
countless applications. Here, at the Georgia Institute of Technology, one of such
teams is in Dr. M. A. Ingram’s Smart Antenna Research Laboratory (SARL), a part
of the Georgia Center for Advanced Telecommunications Technology (GCATT).
The purpose of this report is to provide Matlab code to simulate the basic processing
involved in the generation and reception of an OFDM signal in a physical
channel and to provide a description of each of the steps involved. For this purpose,
we shall use, as an example, one of the proposed OFDM signals of the Digital
Video Broadcasting (DVB) standard for the European terrestrial digital television
(DTV) service. Platform: |
Size: 861184 |
Author:田静 |
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Description: 完整的OFDM链路程序并作了较为具体的解析从基本的bpsk,qpsk,qam到实际的ofdm系统，cdma链路，mac层仿真分析.-Orthogonal frequency division multiplexing (OFDM) is becoming the chosen
modulation technique for wireless communications. OFDM can provide large data
rates with sufficient robustness to radio channel impairments. Many research centers
in the world have specialized teams working in the optimization of OFDM for
countless applications. Here, at the Georgia Institute of Technology, one of such
teams is in Dr. M. A. Ingram’s Smart Antenna Research Laboratory (SARL), a part
of the Georgia Center for Advanced Telecommunications Technology (GCATT).
The purpose of this report is to provide Matlab code to simulate the basic processing
involved in the generation and reception of an OFDM signal in a physical
channel and to provide a description of each of the steps involved. For this purpose,
we shall use, as an example, one of the proposed OFDM signals of the Digital
Video Broadcasting (DVB) standard for the European terrestrial digital television
(DTV) service. Platform: |
Size: 160768 |
Author:田静 |
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Description: OFDM具有很强的抗多径和抗频率选择性衰落的能力，并且可以传输高速数据，这里以DVB_T（2k模式）为例分析其加信道厚的信号频谱及信道对OFDM中频信号的影响。-The purpose of this programme is to provide Matlab code to simulate the basic processing involved in the generation and reception of an OFDM signal in a physical channel and to provide a description of each of the steps involved. For this purpose,we shall use, as an example, one of the proposed OFDM signals of the Digital
Video Broadcasting (DVB) standard for the European terrestrial digital television (DTV) service. Platform: |
Size: 1024 |
Author:yfzhou |
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Description: A figure ready to scroll through and play videos. You can also draw any custom graphics on it.-VIDEOFIG(NUM_FRAMES, @REDRAW_FUNC) creates a figure with a horizontal scrollbar and shortcuts to scroll automatically. The scroll range is 1 to NUM_FRAMES. The function REDRAW_FUNC(F) is called to redraw at scroll position F (for example, REDRAW_FUNC can show the frame F of a video).
This can be used not only to play and analyze standard videos, but it also lets you place any custom Matlab plots and graphics on top.
Jiro posted a great example on the Pick of the Week blog, along with a nice GIF animation so you can see it in motion:
http://blogs.mathworks.com/pick/2010/12/10/video-player-for-your-frame-based-processing/
EXAMPLE 1
Place this in a file called "redraw.m":
function redraw(frame)
imshow([ AT3_1m4_ num2str(frame, 02.0f ) .tif ])
end
Then from a script or the command line, call:
videofig(10, @redraw)
redraw(1)
The images "AT3_1m4_01.tif" ... "AT3_1m4_10.tif" are part of the Image
Processing Toolbox and there s no ne Platform: |
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Author:DT丿灬雪狼 |
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Description: Abstract
Orthogonal frequency division multiplexing (OFDM) is becoming the chosen
modulation technique for wireless communications. OFDM can provide large data
rates with sufficient robustness to radio channel impairments. Many research centers
in the world have specialized teams working in the optimization of OFDM for
countless applications. Here, at the Georgia Institute of Technology, one of such
teams is in Dr. M. A. Ingram’s Smart Antenna Research Laboratory (SARL), a part
of the Georgia Center for Advanced Telecommunications Technology (GCATT).
The purpose of this report is to provide Matlab code to simulate the basic processing
involved in the generation and reception of an OFDM signal in a physical
channel and to provide a description of each of the steps involved. For this purpose,
we shall use, as an example, one of the proposed OFDM signals of the Digital
Video Broadcasting (DVB) standard for the European terrestrial digital television
(DTV) service.-Abstract
Orthogonal frequency division multiplexing (OFDM) is becoming the chosen
modulation technique for wireless communications. OFDM can provide large data
rates with sufficient robustness to radio channel impairments. Many research centers
in the world have specialized teams working in the optimization of OFDM for
countless applications. Here, at the Georgia Institute of Technology, one of such
teams is in Dr. M. A. Ingram’s Smart Antenna Research Laboratory (SARL), a part
of the Georgia Center for Advanced Telecommunications Technology (GCATT).
The purpose of this report is to provide Matlab code to simulate the basic processing
involved in the generation and reception of an OFDM signal in a physical
channel and to provide a description of each of the steps involved. For this purpose,
we shall use, as an example, one of the proposed OFDM signals of the Digital
Video Broadcasting (DVB) standard for the European terrestrial digital television
(DTV) service. Platform: |
Size: 377856 |
Author:DEBALINA BANERJEE |
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Description: Orthogonal frequency division multiplexing (OFDM) is becoming the chosen
modulation technique for wireless communications. OFDM can provide large data
rates with sufficient robustness to radio channel impairments. Many research centers
in the world have specialized teams working in the optimization of OFDM for
countless applications. Here, at the Georgia Institute of Technology, one of such
teams is in Dr. M. A. Ingram’s Smart Antenna Research Laboratory (SARL), a part
of the Georgia Center for Advanced Telecommunications Technology (GCATT).
The purpose of this report is to provide Matlab code to simulate the basic processing
involved in the generation and reception of an OFDM signal in a physical
channel and to provide a description of each of the steps involved. For this purpose,
we shall use, as an example, one of the proposed OFDM signals of the Digital
Video Broadcasting (DVB) standard for the European terrestrial digital television
(DTV) service.-Orthogonal frequency division multiplexing (OFDM) is becoming the chosen
modulation technique for wireless communications. OFDM can provide large data
rates with sufficient robustness to radio channel impairments. Many research centers
in the world have specialized teams working in the optimization of OFDM for
countless applications. Here, at the Georgia Institute of Technology, one of such
teams is in Dr. M. A. Ingram’s Smart Antenna Research Laboratory (SARL), a part
of the Georgia Center for Advanced Telecommunications Technology (GCATT).
The purpose of this report is to provide Matlab code to simulate the basic processing
involved in the generation and reception of an OFDM signal in a physical
channel and to provide a description of each of the steps involved. For this purpose,
we shall use, as an example, one of the proposed OFDM signals of the Digital
Video Broadcasting (DVB) standard for the European terrestrial digital television
(DTV) service. Platform: |
Size: 377856 |
Author:lemaster |
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Description: 图像处理 并行处理 matlab Since images can be represented by 2D or 3D matrices and the MATLAB processing engine
relies on matrix representation of all entities, MATLAB is particularly suitable for implemen‐
tation and testing of image processing workflows. The Image Processing Toolbox
™
(IPT)
includes all the necessary tools for general-purpose image processing incorporating more than
300 functions which have been optimised to offer good accuracy and high speed of processing.
Moreover, the built-in Parallel Computing Toolbox
™
(PCT) has recently been expanded and
now supports graphics processing unit (GPU) acceleration for some functions of the IPT.
However, for many image processing applications we still need to write our own code, either
in MATLAB or, in the case of GPU-accelerated applications requiring specific control over
GPU resources, in CUDA (Nvidia Corporation, Santa Clara, CA, USA).-the first part is dedicated to some essential tools of the IPT that can be used in
image analysis and assessment as well as in extraction of useful information for further
processing and assessment. These include retrieving information about digital images, image
adjustment and processing as well as feature extraction and video handling. The second part
is dedicated to GPU acceleration of image processing techniques either by using the built-in
PCT functions or through writing our own functions. Each section is accompanied by MAT‐
LAB example code. Platform: |
Size: 629760 |
Author:阿新 |
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Search - example of video processing in matlab