Another(important! ) example: Periodic Impulse train n(t)=∑(t Sampling function important for sampling .2T

Representation of ct signals Approximate any input x(t) as a sum of shifted, scaled

1Some examples of systems 2 System properties and examples CAusality

《信号与系统——连续时域分析运算》教学资源：Chapter 2 SOLUTIONS MANUAL to accompany

More efficient to transmit e&m signals at higher frequencies Transmitting multiple signals through the same medium using different carriers Transmitting through\channels, with limited passbands

4.1 拉普拉斯变换 4.2 典型信号的拉普拉斯变换 4.3 拉普拉斯变换的性质 4.4 拉普拉斯反变换 4.5 拉普拉斯变换与傅里叶变换的关系 4.6 连续系统的复频域分析 4.7 系统函数 4.8 由系统函数的零、极点分析系统特性 4.9 连续系统的稳定性 4.10 系统的信号流图

6.1 Z变换 6.2 Z反变换 6.3 Z变换的性质 6.4 Z变换与拉氏变换的关系 6.5 离散系统的Z域分析 6.6 离散系统函数与系统特性 6.7 离散信号与系统的频域分析 6.8 数字滤波器的一般概念

1.aM with an Arbitrary Periodic Carrier 2. Pulse Train Carrier and Time-Division Multiplexing 3. Sinusoidal Frequency modulation 4. DT Sinusoidal am 5. DT Sampling, Decimation,d Interpolation

2.1 冲激函数及其性质 2.2 系统的冲激响应 2.3 信号的时域分解和卷积积分 2.4 卷积的图解和卷积积分限的确定 2.5 卷积积分的性质 2.6 卷积的数值计算

Why use feedback? Reducing effects of nonidealities Reducing Sensitivity to Uncertainties and variability Stabilizing Unstable Systems Reducing Effects of Disturbances Tracking Shaping system response Characteristics(bandwidth/speed