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	Bluespec Delivers Plug-and-Play Library for Algorithm and Datapath Design | Bourns to Announce Significant Enhancements to its Industry-Leading Line of Guitar . . . all news releases for audio last week's e-clips alert for audio
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overviews (2 records)
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demos, shareware & freeware for audio
audio vendor guide
audio services guide

Innovative Integration is a leader in signal processing and data acquisition hardware and software. Our products combine DSPs and FPGAs with high performance analog, ready for integration into demanding real-time applications such as wireless, medical, and military. Innovative Integration offers a complete solutions for software-defined radio (SDR) applications by integrating R-Interface’s IP for software defined radio (SDR) with Innovative’s high performance X5 family of digitizers and powerful application development tools for FPGA development.

Definition: A digital representation expresses the pressure wave-form as a sequence of symbols, usually binary numbers, which permits digital signal processing. Whilst all real-world audio signals are continuous-time and continuous-level analog signals, the frequency range of these signals is limited by physical effects, and human ears cannot perceive frequencies below approx. 20 Hz or above approx. 18 kHz (strongly depends on the age of the listener). Therefore, there is no significant loss of information when the analog signal is sampled using a high enough sampling rate (see: sampling). In addition, the dynamic range of audio signals is limited by Noise (sound). More than 130 dB Signal-to-noise ratio is almost impossible to achieve. Therefore, quantization also does not result in significant loss of information either, if done appropriately. Both sampling and quantization must be applied to convert the continuous-time analog signal to a discrete-time digital representation. Although such a conversion is more or less lossy, most modern audio systems use this approach as the techniques of digital signal processing are much more powerful and efficient than analog domain signal processing. Source: Wikipedia (http://en.wikipedia.org/wiki/Audio_signal_processing)