Signal processing of a 20-bit 8-channel digital audio recorder

1990 ◽  
Vol 36 (3) ◽  
pp. 647-654 ◽  
Author(s):  
T. Iwaki ◽  
T. Okuda ◽  
K. Koyanagi ◽  
Y. Yokomachi ◽  
C. Yamawaki ◽  
...  
Author(s):  
Iwaki ◽  
Okuda ◽  
Koyanagi ◽  
Yokomachi ◽  
Sasada ◽  
...  

1986 ◽  
Vol 10 (2) ◽  
pp. 77
Author(s):  
James H. Snyder ◽  
John Strawn

1982 ◽  
Vol 6 (1) ◽  
pp. 42 ◽  
Author(s):  
Scott Foster ◽  
W. Andrew Schloss ◽  
A. Joseph Rockmore

2001 ◽  
Vol 6 (2) ◽  
pp. 147-151 ◽  
Author(s):  
Martin Spain ◽  
Richard Polfreman

The musical use of realtime digital audio tools implies the need for simultaneous control of a large number of parameters to achieve the desired sonic results. Often it is also necessary to be able to navigate between certain parameter configurations in an easy and intuitive way, rather than to precisely define the evolution of the values for each parameter. Graphical interpolation systems (GIS) provide this level of control by allocating objects within a visual control space to sets of parameters that are to be controlled, and using a moving cursor to change the parameter values according to its current position within the control space. This paper describes Interpolator, a two-dimensional interpolation system for controlling digital signal processing (DSP) parameters in real time.


Author(s):  
Ljiljana D. Milic

A multirate filter can be defined as a digital filter in which the input data rate is changed in one or more intermediate points. With the efficient multirate approach, computations are evaluated at the lowest possible sampling rate, thus improving the computational efficiency, increasing the computation speed, and lowering the power consumption. Multirate filters are of essential importance for communications, image processing, digital audio, and multimedia. The role of multirate filtering in modern signal processing systems is threefold: Firstly, they are used whenever there is a need to preserve the signal properties when connecting two systems operating at different sampling rates. Secondly, multirate techniques are used for constructing filters with stringent spectral constraints that are very difficult, even impossible, to be solved otherwise. Thirdly, multirate filters are used in constructing multirate filter banks.


Author(s):  
Nedeljko Cvejic ◽  
Tapio Seppänen

This chapter gives a general overview of the audio watermarking fundamental definitions. Audio watermarking algorithms are characterized by five essential properties, namely: perceptual transparency, watermark bit rate, robustness, blind/informed watermark detection and security. Chapter also reviews the most common signal processing manipulations that are frequently applied to the watermarked audio in order to prevent detection of the embedded watermark. Finally, several application areas for digital audio watermarking are presented and advantages of digital watermarking over standard technologies examined.


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