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所在平台: Udemy |
课程主页: https://www.udemy.com/course/signals-and-systems-made-easy/
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课程名称：信号和系统 - 拨开恐惧 课程概述：您是否想从基础学习？是否希望多做一些数值题？是否希望通过美丽的例题分析概念？每节课后是否想检测自己掌握的知识？是否希望多做作业？是否在学习每个主题后想解答测验问题？如果是的话，这门课程将是解决您所有问题的一站式解决方案。 “信号和系统”是所有控制与信号处理工程的基础。它使您能够对真实世界的机器（系统）进行建模，对其施加刺激并分析其响应（刺激和响应就是信号）。处理信号的系统示例包括语音识别、视频流、蜂窝网络和医学扫描如MRI。信号与图像处理学科关注信号的分析与合成及其与系统的交互。 学生将在本课程中： - 用数学描述信号 - 理解连续时间和离散时间信号的数学描述与表示 - 熟悉常用信号，如单位阶跃、斜坡、冲激函数、正弦信号和复指数 - 学会对信号进行数学运算 - 能够区分信号的类别：连续时间VS离散时间、周期性VS非周期性、能量信号VS功率信号、奇偶信号、因果信号VS非因果信号 - 理解系统的特性：线性、时间不变性、是否存在记忆、因果性、有界输入有界输出稳定性和可逆性 - 掌握信号之间的卷积过程及其在分析线性时不变系统中的含义 - 理解脉冲响应的概念 - 培养解决卷积相关问题的数学技能 - 理解频域信号的解析方法，使用傅里叶级数和傅里叶变换 - 了解傅里叶变换的局限性及拉普拉斯变换的必要性，并具备在s域分析系统的能力 - 应用拉普拉斯变换和Z变换分析连续时间和离散时间信号与系统 此课程旨在帮助学生深入理解信号与系统的核心概念，为后续学习和应用打下坚实的基础。
DO YOU WANT TO LEARN FROM BASICS ?DO YOU WANT TO LEARN MORE NUMERICALS ?DO YOU WANT TO ANALYZE CONCEPTS WITH BEAUTIFUL EXAMPLE PROBLEMS ?DO YOU WANT TO CHECK HOW MUCH CONTENT YOU HAVE GRASPED AFTER EACH LECTURE ?DO YOU WANT TO PRACTICE MORE ASSIGNMENTS ?DO YOU WANT TO SOLVE QUIZ QUESTIONS AFTER LEARNING EVERY TOPIC ?THEN MY DEAR STUDENTS THIS COURSE IS THE ONE STOP SOLUTION FOR ALL THE ABOVE QUESTIONS."Signals and systems" is the basis of all control and signal processing engineering. It will allow you to take a real world machine, process (the system) and create a mathematical model, at which we apply stimuli and analyze it's response (stimuli and response being signals).Examples of systems that manipulate signals are speech recognition, video streaming, cellular networks and medical scans such as MRI. The disciplines of signal and image processing are concerned with the analysis and synthesis of signals and their interaction with systems.Students will Be able to describe signals mathematicallyUnderstand mathematical description and representation of continuous and discrete time signalsBe familiar with commonly used signals such as the unit step, ramp, impulse function, sinusoidal signals and complex exponentialUnderstand how to perform mathematical operations on signalsBe able to classify signals as continuous-time Vs. discrete-time, periodic Vs. non-periodic, energy signal Vs. power signal, odd Vs. even, causal Vs. non- causal signalsUnderstand system properties - linearity, time in variance, presence or absence of memory, causality, bounded-input bounded-output stability and invertibilityBe able to perform the process of convolution between signals and understand its implication for analysis of linear time-invariant systems. Understand the notion of an impulse responseDevelopment of the mathematical skills to solve problems involving convolutionUnderstand and resolve the signals in frequency domain using Fourier series and Fourier transforms Further, be able to use the properties of the Fourier transform to compute the Fourier transform (and its inverse) for a broader class of signalsUnderstand the limitations of Fourier transform and need for Laplace transform and develop the ability to analyze the system in s- domainApply the Laplace transform and Z- transform for analyze of continuous-time and discrete-time signals and system
