和相位调制技术的概念,和宽带/窄带调频方法的特征
8. 运用 MATLAB 软件工具对信号与系统进行分析,实现傅里叶级数和傅里叶分析,并运用滤波、调制等技术和方法进行
系统设计的实验
After completing this course, the students will be able to
1. Understand the definitions of commonly-used signals, the difference between continuous-time signal and discrete-
time signal, periodicity, signal transform, and know the descriptions and properties of systems
2. Understand the properties of linear time-invariant systems, the concept of unit impulse response, the methods to
determine system output, and the definition and computation of convolution
3. Be familiar with the definition and computation of Fourier series representation of periodic signals. Understand the
definition and meaning of eigen-function and system function, the convergence of Fourier series representation and
its properties, the properties of Fourier series representation of discrete-time periodic signals, and the concept of
filtering
4. Be familiar with the definition and computation of continuous-time Fourier transform, the relation between unit
impulse response and frequency response, the methods to determine system output with continuous-time Fourier
transform, and the approach to determine continuous-time Fourier transform of periodic signals
5. Be familiar with the definition and computation of discrete-time Fourier transform, and the methods to determine
system output with discrete-time Fourier transform
6. Understand the sampling process and sampling theorem, the signal reconstruction from sampled signals, aliasing
and its properties, the method to process continuous-time signal with a discrete-time system, and upsampling and
downsampling
7. Know the principles of amplitude modulation, the effect of carrier signal, the synchronized and asynchronized
demodulation methods, frequency-division multiplexing (FDM), pulse-amplitude modulation (PAM), inter-symbol
interference (ISM) and its solutions, time-division multiplexing (TDM), frequency modulation and phase modulation,
narrowband and wideband frequency modulation
8. Analyze signals and systems with Matlab functionality, implement Fourier series and Fourier transform, and utilize
filtering and modulation methods to design signal processing experiments