results checking

这本参考书讲述了如何使用微软的ACCESS 2003软件进行数据库设计、程序查询，通过导入导出功能管理数据，以及与SQL-SERVER之间的通讯。

在本仿真中，我们探讨了BPSK（二进制相位键控）的仿真结果及其相关代码。通过实验，我们可以观察到BPSK在不同信噪比下的性能表现。以下是仿真的核心代码示例： # BPSK Simulation Code import numpy as np import matplotlib.pyplot as plt # Parameters N = 1000 # Number of symbols SNR_dB = 10 # Signal to Noise Ratio in dB # Generate random binary data data = np.random.randint(0, 2, N) # BPSK Modulation bpsk_signal = 2*data - 1 # Add noise noise = np.random.normal(0, np.sqrt(1/(2*(10**(SNR_dB/10)))), N) received_signal = bpsk_signal + noise # Plot plt.plot(received_signal) plt.title('Received BPSK Signal') plt.xlabel('Sample Index') plt.ylabel('Amplitude') plt.grid() plt.show() 这个示例展示了BPSK调制及其在噪声环境下的表现。

图2.8 调试结束在此步骤中，您将看到调试过程的最终确认。确保所有参数已正确配置，以便顺利进入下一个环节。 图2.9 绘图结果此图展示了最终的绘图输出结果，包括已完成的图形和数据汇总。请检查绘图效果，以确认符合要求。 以上为绘图和调试的完整流程，确保绘图结果清晰、准确，以便后续分析。

Check results

Using Transparent Margins to Save imviscircles Results: This guide helps save the results of imviscircles with specified transparent margins. This is particularly helpful if your dataset includes circles that sometimes fall partially outside the main image area. By adding transparent borders equal to the maximum radius in your dataset (or the maximum radius provided to imfindcircles), all circles remain fully visible. Additionally, using consistent margins ensures that the output image maintains the same size, free of unwanted borders. For optimal results, use OJ Woodford’s export_fig tool to save the final image, maintaining high quality and the specified margin settings.