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信号与系统(湖南工学院)智慧树知到期末考试答案+章节答案2024年湖南工学院关于信号流图的性质,以下说法正确的是(

答案:节点可以把所有输入支路信号叠加,并把总和信号传送到所有输出支路###具有输入输出支路的混合节点,通过增加一个具有单传输的支路,可以把它变成输出节点

答案:下列表达式中错误的是()。

答案:信号

的波形如图所示,则该信号可表示为()。

答案:

答案:已知因果函数的象函数,则的象函数为()

答案:已知系统函数

,计算输入时,零状态响应的初始值和终值(

)。

答案:0,0.6信号表示()。

答案:右移2根据拉氏变换的时移性质,计算

的拉氏变换为(

答案:data:image/png;base64,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

答案:4KHz

答案:积分式等于()。

答案:-1已知系统微分方程为

,计算系统函数

和冲激响应

答案:data:image/png;base64,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

答案:data:image/png;base64,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当连续周期信号三角形式傅里叶级数中如果,,则下列结论正确的是(

答案:信号

表示为()。

答案:信号右移已知离散时间系统的差分方程为y(n+2)+2y(n+1)+2y(n)=x(n+1),则系统的零输入响应的一般形式为?

答案:以下说法正确的是(

答案:系统在单位冲激信号作用下产生的零状态响应,称为单位冲激响应。

答案:

答案:

答案:

答案:

答案:

答案:

答案:

答案:

答案:

答案:

答案:

答案:线性、时变、非因果

答案:

答案:1

答案:

答案:

答案:

答案:

答案:

答案:不考虑起始时刻系统储能的作用,由系统外加激励信号所产生的响应称为零输入响应。(

答案:错的单边拉普拉斯变换为()

答案:错利用傅里叶变换的时域卷积定理可以将时域的卷积计算变为频域的乘法运算。

答案:对判断系统的稳定性,以下哪条是正确的()

答案:因果系统的系统函数的极点位于

平面的右半平面,系统是不稳定的###因果系统的系统函数的极点位于

平面虚轴上,且只有单阶极点时,系统是临界稳定的。###因果系统的系统函数的全部极点位于

平面的左半平面(不包括虚轴)时,系统是稳定的。利用拉普拉斯变换性质求

的拉氏变换为

答案:错连续非周期信号只有傅里叶变换,没有无法展开成傅里叶级数形式;连续周期信号只有傅里叶级数展开形式,没有傅里叶变换。

答案:错系统阶跃响应的上升时间和系统的截止频率成反比。()

答案:对信号的傅里叶变换为,则信号为(

答案:信号为该信号所包含的能量为(

答案:4MATLAB中可用sys=tf[b,a]建立LTI系统模型,其中b和a分别为微分方程两端各项的系数向量。(

答案:对已知,其傅里叶变换为

答案:已知,为求则下列运算正确的是(其中

,为正数)。()

答案:右移MATLAB求解系统冲激响应可以调用(

)函数

答案:impulse差分方程y(n)=f(n)+f(n-1)所描述的离散系统的单位序列响应h(n)是(

答案:已知

,用拉氏变换法求解微分方程的结果为()

答案:某系统的输入信号为

,输出信号为

,且

,则该系统是()。

答案:线性时变系统信号

的拉氏变换为()

答案:

答案:已知系统的系统函数,求系统的零、极点(

答案:下列关于算子的运算规则不正确的是(

答案:两个有限长序列的非零序列值的宽度分别为13和7,则两个序列卷积所得的序列为

答案:宽度为19的有限宽度序列data:image/png;base64,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