Signal Processing Techniques for Audio and Speech Applications

2011 ◽  
pp. 3457-3461
Author(s):  
Hector Perez-Meana ◽  
Mariko Nakano-Miyatake
Keyword(s):  
Signal Processing ◽  
Copyright Protection ◽  
Digital Signal Processor ◽  
Digital Signal ◽  
Medical Systems ◽  
Audio Signals ◽  
Vlsi Technology ◽  
Transmission Enhancement ◽  
Processing Techniques ◽  
Signal Processing Techniques

Since the apparition of the first standalone digital signal processor (DSP) in 1980, the development of very-largescale integration (VLSI) technology has allowed an impressive improvement on the performance of signal processing devices. This fact has made it possible to implement more efficient systems for storage, transmission, enhancement, protection, and reproduction of speech and audio signals. Some of these successful applications, shown in Table 1, have contributed to improving the performance of communications, storage, and medical systems, as well as security and copyright protection.

scholarly journals The in-service determination of the presence of distortion in a high quality analogue sound signal

2007 ◽  
Author(s):  
◽  
Stefanus Mare
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Audio Signal ◽  
Digital Signal ◽  
Audio Signals ◽  
High Quality ◽  
Number Of Factors ◽  
Non Stationary Signal ◽  
Processing Techniques ◽  
Signal Processing Techniques

Detecting and minimising distortion in audio signals is an important aspect of sound engineering. Distortion of a signal passing through an audio system may be caused by a number of factors and it is necessary to detect these effects for optimal sound. The problem is of interest to users and operators of high quality audio equipment and transmission facilities. The objective of this thesis was the development of techniques for the blind identification of distortion in a high quality audio signal using digital signal processing techniques. The techniques developed are based on digital signal processing techniques and statistical analysis of a recorded audio signal, which is treated as a random, non-stationary signal.

A DCT-Domain System for Digital Watermarking

2013 ◽  
Vol 321-324 ◽  
pp. 2609-2612
Author(s):  
Yan Liang ◽  
Gao Yan ◽  
Chun Xia Qi
Keyword(s):  
Signal Processing ◽  
Digital Watermarking ◽  
Copyright Protection ◽  
Random Sequence ◽  
Multimedia Data ◽  
Dct Domain ◽  
Digital Document ◽  
Dct Coefficients ◽  
Processing Techniques ◽  
Signal Processing Techniques

Digital watermarking has been proposed as a solution to the problem of copyright protection of multimedia data in a networked environment. It makes possible to tightly associated to a digital document a code allowing the identification of the data creator, owner, authorized consumer, and so on. In this paper a new DCT-domain system for digital watermarking algorithm for digital images is presented: the method, which operates in the frequency domain, embeds a pseudo-random sequence of scrambled image in a selected set of DCT coefficients. After embedding, the watermark is adapted to the image by exploiting the masking characteristics of the human visual system, thus ensuring the watermark invisibility. By exploiting the statistical properties of the embedded sequence, the mark can be reliably extracted without resorting to the original uncorrupted image. Experimental results demonstrate that the watermark is robust to several signal processing techniques, including JPEG compression, cut, fuzzy, addition of noise, and sharpen.

Signal Processing Techniques in Smart Grids

2017 ◽  
pp. 1278-1302
Author(s):  
Zahoor Uddin ◽  
Nadir Shah ◽  
Ayaz Ahmad ◽  
Waqar Mehmood ◽  
Farooq Alam
Keyword(s):  
Signal Processing ◽  
Smart Grid ◽  
Smart Grids ◽  
Digital Signal ◽  
Future Research ◽  
System Control ◽  
Comprehensive Survey ◽  
Efficient Data ◽  
Processing Techniques ◽  
Signal Processing Techniques

Basic concept of a smart grid is to have monitoring capability with data integration, advanced analysis to support system control, enhanced power security and effective communication to meet the power demand and reduce the energy consumption and cost. Implementing the smart grid will require intelligent interaction between the power generating and consuming devices that can be achieved by installing devices capable of processing data and communicating it to various parts in the grid. In short, we can say that the modern efficient data processing and communication technologies require advance digital signal processing techniques used in smart grid. This chapter first provides a comprehensive survey on the applications of signal processing techniques in smart grid. The challenges and limitations of signal processing techniques regarding the smart grid are also presented. Literature review of the recent advances in smart grid is also presented. This chapter also outlines some future research directions related to the field of applications of signal processing techniques in smart grid.

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