bend, but don't break!

One of my fondest memories as a child is going by the river and sitting idly on the bank. There I would enjoy the peace and quiet, watch the water rush downstream and listen to the chirps of birds and the rustling of leaves in the trees. I would also watch the bamboo trees bend under pressure from the wind and watch them return gracefully to their original position after the wind had died down.

When I think about the bamboo tree's ability to bounce back or return to its original position, the word "resilience" comes to mind. When used in reference to a person this word means the ability to readily recover from shock, depression or any other situation that stretches the limits of a person's emotions.

Have you ever felt like you are about to snap? Have you ever felt like you are at your breaking point? Thankfully, you have survived the experience to live to talk about it.

During the experience you probably felt a mix of emotions that threatened your health. You felt emotionally drained, mentally exhausted and you most likely endured unpleasant physical symptoms.

Life is a mixture of good times and bad times, happy moments and unhappy moments. The next time you are experiencing one of those bad times or unhappy moments that take you close to your breaking point, bend, but don't break. Try your best not to let the situation get the best of you.

A measure of hope will take you through the unpleasant ordeal. With hope for a better tomorrow or a better situation, things may not be as bad as they seem to be. The unpleasant ordeal may be easier to deal with if the end result is worth having.

If the going gets tough and you are at your breaking point, show resilience. Like the bamboo tree, bend, but don't break!

极化码(Polar Code)是由土耳其科学家Erdal Arıkan在2009年提出的一种新型纠错编码技术。它通过利用信道的极化现象,将虚拟信道分为误码率接近0和接近1/2的两类。在编码设计中,数据被放置在误码率极低的信道上,从而实现高效的数据传输。极化码的主要优势在于其理论编码容量能够达到香农限,并且构造方法较为简单。 MATLAB是一种功能强大的数学计算和编程工具,广泛应用于科学研究和工程领域。在极化码的研究中,MATLAB可用于构建编码和解码算法,模拟数据在不同信道条件下的传输效果,验证理论性能,并优化相关参数。 SC(Successive Cancellation,逐位取消)译码是极化码的基本解码方法。它从最可靠的比特开始,依次解码每个虚拟信道,且每个比特的解码结果会影响后续比特的解码,因为它们之间存在依赖关系。虽然SC译码的实现较为简单,但其计算复杂度较高,随着码长的增加,解码时间会线性增长。 SCL(Successive Cancellation List,逐位取消列表)译码是SC译码的改进版本。它通过引入列表机制,同时处理多个路径,从而增强了错误校正能力,并在一定程度上降低了错误率。与SC译码相比,SCL译码虽然需要消耗更多的计算资源,但能够提供更好的性能。 一个完整的MATLAB仿真资源通常包含以下内容: 编码模块:用于实现极化码的生成,包括码字构造和极化矩阵操作等。 信道模型:用于模拟各种通信信道,例如AWGN(加性高斯白噪声)信道或衰落信道。 SC/SCL译码模块:包含SC译码和SCL译码的算法实现。 误码率(BER)计算:通过比较发送和接收的码字,计算误码率,以评估编码性能。 性能曲线绘制:绘制误码率与信噪比(SNR)之间的关系曲线,展示不同译码策略的性能差异。 使用说明:指导用户如何运行仿真,理解代码结构,以及如何调整参数以进行自定义实验。 代码注
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