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.
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.
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.
In this paper, the five-band notch filter was designed using MATLAB and implemented by the floating-point digital signal processor TMS320C6711 based on TI's DSP starter kit (DSK) board connected to the parallel port of the PC through the DB25 cable included with the DSK package. The original segment of symphony orchestra corrupted two undesired sinusoids at frequencies of 750Hz and 1750Hz is conduced to input of DSK to produce the corrupted input signal which is saved in the wave file (Corrupthandel.wav) for the digital signal processor. ...
Lecture Digital signal processing - Lecture 7 presents the following content: Filter design, IIR filter design, analog filter design, IIR filter design by impulse invariance, IIR filter design by bilinear transformation.
Lecture Digital image processing - Spatial and frequency domain filter design include all of the following content: Spatial domain filter design (average/mean filter, median filter, gaussian smoothing, conservative smoothing), frequency – based filter design.
Chapter 13 - Bit level arithmetic architectures. This chapter includes content: Parallel multipliers, parallel multiplication with sign extension, baugh-wooley multipliers, parallel multipliers with modified booth recoding, interleaved floor-plan and bit-plane-based digital filters, design of bit-serial multipliers using systolic mappings,...
What is a filter? A filter is a device that passes electric signals at certain frequencies or frequency ranges while preventing the passage of others. — Webster. Filter circuits are used in a wide variety of applications. In the field of telecommunication, band-pass filters are used in the audio frequency range (0 kHz to 20 kHz) for modems and speech processing. High-frequency band-pass filters (several hundred MHz) are used for channel selection in telephone central offices.
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
The reader is provided with information on how to choose between the techniques and how to design a system that takes advantage of the best features of each of them. Imminently practical in approach, the book covers sampled data systems, choosing A-to-D and D-to-A converters for DSP applications, fast Fourier transforms, digital filters, selecting DSP hardware, interfacing to DSP chips, and hardware design techniques. It contains a number of application designs with thorough explanations.
Lecture Digital image processing include the content: Introduction to Image processing and matlab; image acquisition, types, and file I/O; image arithmetic; spatial and frequency domain filter design; mage restoration and blind deconvolution;...
In this book, we present the basic principles that underlie the analysis and design of digital communication system. The subject of digital communications involves the tranamission in digital form a source that generates the information to one or more destinations. Of particular importance in the analysis and desigm of communication system...
Students learn in a number of ways and in a variety of settings. They learn
through lectures, in informal study groups, or alone at their desks or in
front of a computer terminal. Wherever the location, students learn most
efficiently by solving problems, with frequent feedback from an instructor,
following a worked-out problem as a model. Worked-out problems
have a number of positive aspects. They can capture the essence of a
key concept -often better than paragraphs of explanation. They provide
methods for acquiring new knowledge and for evaluating its use.
A filter is a system that is designed to alter the spectral content of input signals in a specified manner. Common filtering objectives include improving signal quality, extracting information from signals, or separating signal components that have been previously combined. A digital filter is a mathematical algorithm implemented in hardware, firmware, and/or software that operates on a digital input signal to produce a digital output signal for achieving filtering objectives.