Multi-Projector Based Display Code ---- FAQ

本文解答了关于摄像头配置的问题,包括如何确定镜头是否合适、如何判断摄像头是否与OpenCV兼容等,并提供了遇到特定错误信息时的排查方法。

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原文地址:http://www.comp.nus.edu.sg/~brown/projects/projector/faq.html

Frequently Asked Question

  1. How do I know that my camera has a proper lens?
    Answer:
    If you can see exactly the whole display area while connecting the camera to the master PC, then it's a proper lens. In fact, what we mean proper here is that the lens comes with suitable focal length and field of view (FOV). In our configuration, when putting the camera behind the projectors about 3 meters away from the display wall, we use a 8mm lens. You can find plenty of information from the web about how to caculate the focal length you need in your working scenario and how to choose camera lens.

  2. How do I know that my camera is OpenCV-compatible?
    Answer:
    Please download the test program from here. You can run it on the PC with camera connnected, if you see a camera viewer smoothly, then the camera is OpenCV-compatible. Otherwise, the camera is not OpenCV-compatible and can not be used in this project.

  3. I met the following error: "xx features detected! Please check camera image" ?
    Answer:
    Please open the debug image located at the same directory. The possible reason might be: unexpected obstacle objects seens by the camera; ambient light too bright or too dark that white blobs and black background can not be distinguished.

  4. What if the program crashed during running ?
    Answer:
    Please close all the running programs (include other render server programs and/or control client programs) and re-run the system according to the step-by-step guide. If the same problem still exists, please check the error message and look into the source code yourself.

  5. What if the render server have no response ?
    Answer:
    The most possible reason is that the network traffic is banned by the firewall. All the programs use UDP socket to communicate with each other and might not be successful if your firewall is turned on. Please turn off the firewall or allow the traffic by these programs in the firewall configuration. Another reason might be wrong configuration file is given in the control client, please check the ip address, port etc in the configuration file.

  6. Is there any difference between the calbration result generated from Mulit-Prjector Multi-PC configuration and Multi-Projector Single-PC configuration?
    Answer:
    As long as the physical projector arrangement is the same (for example, both are for 2x2 or 2x1) the calibration result is exactly the same.

  7. What if I found bugs in the codes?
    Answer:
    We would be very thankful if you could help us improving the codes by email a detailed description of the bug to the following address: brown at comp.nus.edu.sg .

  8. What if I still have questions regarding the codes?
    Answer:
    Please email to brown at comp.nus.edu.sg.

在MATLAB环境中实现Turbo码的仿真是一种学习和理解这种高效纠错编码技术的重要途径。Turbo码是由两个或多个迭代的卷积编码器组成的,它通过交织器将输入信息流分成两部分,分别进行编码,然后将编码结果再交织,形成两个相互依赖的编码流,从而实现强大的纠错能力。下面我们将详细探讨MATLAB实现Turbo码仿真的关键步骤和相关知识点。 我们需要了解Turbo码的基本结构。Turbo码的核心在于它的迭代解码过程,这使得它在误码率性能上接近香农限。编码部分通常包括一个涡轮编码器,由两个相同的或近似的并行交织卷积编码器组成。在MATLAB中,我们可以使用`comm.TurboEncoder`对象来创建这个编码器。 1. **卷积编码器**:卷积编码器是Turbo码的基础,MATLAB提供了`comm.ConvolutionalEncoder`对象来实现。它通常由两个生成多项式定义,这些生成多项式决定了编码器的特性。在代码中,我们需要设置这些参数,并将原始信息序列输入到编码器中。 2. **交织器**:交织器是Turbo码的关键组件,它打乱了原始数据的顺序,以便在解码时能够进行有效的迭代处理。在MATLAB中,我们可以使用`comm.Interleaver`对象实现这一功能。通常选择随机或特定模式的交织器,如循环交织器。 3. **信道模型**:在仿真中,我们需要模拟实际通信环境下的信道条件,例如AWGN(Additive White Gaussian Noise,高斯白噪声)信道或衰落信道。MATLAB的`awgn`函数可以方便地添加高斯噪声。 4. **解码器**:Turbo码的解码通常采用BCJR(Bahl-Cocke-Jelinek-Raviv)算法或其它迭代算法。在MATLAB中,`comm.TurboDecoder`对象用于实现这些算法。解码过程包括软输入软输出(SISO)迭代,这涉及到对编码流的软信息进行多次处理。 5. **性能评估**:通过计算误码率(BER)或误符号率(SER)来评估编码系统的性能。MATLAB提供了`biterr`和`symbolserr`函数来计算这些指标。此外,绘制误码率曲线对于理解和优化系统性能至关重要。 在WuYufei提供的MATLAB代码中,可能包含了以上各部分的实现。修改过的中文注释有助于理解代码逻辑,而添加的绘图部分可能用于展示随着迭代次数增加,解码性能的变化趋势。通过运行和分析这段代码,我们可以深入理解Turbo码的工作原理和MATLAB在通信系统仿真中的应用。同时,学习这段代码也能够提升我们对编码理论、信道建模和解码算法的理解,为实际的通信系统设计和分析打下坚实基础。
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