Digital filters are widely used in processing digital signals of many diverse applications, including
speech processing and data communications, image and video processing, sonar, radar, seismic and
oil exploration, and consumer electronics.
Suitable for a one- or two-semester undergraduate-level electrical engineering, computer engineering, and computer science course in Discrete Systems and Digital Signal Processing. Assumes some prior knowledge of advanced calculus, linear systems for continuous-time signals, and Fourier series and transforms. Giving students a sound balance of theory and practical application, this no-nonsense text presents the fundamental concepts and techniques of modern digital signal processing with related algorithms and applications.
This book is a tutorial on digital techniques for waveform generation, digital filters, and digital signal processing tools and techniques.
The typical chapter begins with some theoretical material followed by working examples and experiments using the TMS320C6713-based DSPStarter Kit (DSK).
The C6713 DSK is TI's newest signal processor based on the C6x processor (replacing the C6711 DSK).
Digital filters, together with signal processing, are being employed in the new technologies and information systems, and are implemented in different areas and applications. Digital filters and signal processing are used with no costs and they can be adapted to different cases with great flexibility and reliability. This book presents advanced developments in digital filters and signal process methods covering different cases studies.
Lecture Digital signal processing - Chapter 6 introduce transfer function and digital filter realization. In this chapter, you will learn to: Transfer functions (Impulse response, difference equation, impulse response,...), digital filter realization (Direct form, canonical form, cascade form).
In this chapter discuss the pipelining and parallel processing. The main contents of this chapter include all of the following: Pipelining of FIR digital filters, parallel processing, pipelining and parallel processing for low power.
Digital Signal Processing (DSP) is formally defined as a digital operation performed on an input sequence of numbers
(including feedback from the result of the digital operation). The sequence of numbers can represent anything from
digitised human speech to stock price data, processed to detect hidden periodicities or pattern
The new technologies and communications systems are being set up in all areas. It
leads to treating data from different sources and for several proposes. But it is necessary
to obtain only the information that is required. Digital filters, together with
analogue filters, are used for these objectives. The main advantage of the digital filters
is that they can be applied at zero cost and with a great flexibility.
Digital signal processing (DSP) covers a wide range of applications in which the implementation of high-performance systems to meet stringent requirements and performance constraints is receiving increasing attention both in the industrial and academic contexts. Conceived to be available to a wide audience, the aim of this book is to provide students, researchers, engineers and the industrial community with a guide to the latest advances in emerging issues in the design and implementation of DSP systems for application-specific circuits and programmable devices....
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A New Method for Least-Squares and Minimax Group-Delay Error Design of Allpass Variable Fractional-Delay Digital Filters