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Offers a conventional approach whereby continuous time signal is used to introduce discrete time signal in later chapters
Includes basics of MATLAB and MATLAB examples throughout the book
Provides over 400 detailed examples with applications and over 400 homework problems
Provides an instructor solutions manual with completely worked solutions to all in text problems
This is a comprehensive and cohesive presentation of analog and digital signal processing and filtering for electrical engineers. The author covers the principle concepts of analog and digital signals, generalized Fourier series approximations with sinusoidal and non-sinusoidal functions, and analog convolutions and correlations. Signals and linear system interactions, system stability and bandwidths are also discussed. Analysis and design of analog low-pass, high-pass, band-pass, band elimination filters, and delay line filters are discussed using operational amplifiers. Problems associated with nonlinear systems are included.
Key features include:
Discrete-time Fourier transforms
SINC functions to illustrate the generalized Fourier series concepts
One consistent notation scheme used throughout the book
The author addresses the main concepts of digital signals, convolution, correlation and deconvolution. Digital filter designs using finite and infinite based impulse responses are presented along with their filter structures. Also included is coverage of basic analog communications including AM, FM and multiplexing as well as simple digital modulations. Example problems are presented in detail throughout the book and over 400 end of chapter problems are provided for further study.
Content Level »Graduate
Keywords »Fourier transform - communication - convolution - filter - integrated circuit - signal analysis - system analysis