How audio processing algorithms help improve sound from small speakers
Luca Cacioli, Portable Audio Marketing Manager, Texas Instruments
EETimes (8/25/2010 11:40 AM EDT)
Audio processing algorithms
A variety of algorithms are available today to process the audio signal and improve the listening experience.
Basic processing is given by equalization and filtering that change the amplitude of different frequency bands to overcome the shortcomings of speakers. By looking at the frequency response of speakers, we can determine what can and cannot be reproduced and set equalization curves accordingly. The goal is to obtain sound with pretty much constant amplitude, no matter what frequency is played through the speaker.
Basic equalization nowadays is pretty common; most audio converters available on the market have it. Unfortunately, in some cases this is not sufficient to improve audio quality. In fact, speakers have frequency responses that change with the intensity of the audio signal (Figure 1).
To read the full article, click here
Related Semiconductor IP
- Bluetooth Low Energy 6.0 Digital IP
- Ultra-low power high dynamic range image sensor
- Flash Memory LDPC Decoder IP Core
- SLM Signal Integrity Monitor
- Digital PUF IP
Related White Papers
- Writing a modular Audio Post Processing DSP algorithm
- Reconfiguring Design -> Reconfigurable computing aims at signal processing
- Reconfiguring Design -> FPGAs speed audio application development
- Consumer IC Advances -> Meeting MPEG-4 advanced audio coding requirements
Latest White Papers
- How Next-Gen Chips Are Unlocking RISC-V’s Customization Advantage
- Efficient Hardware-Assisted Heap Memory Safety for Embedded RISC-V Systems
- Automatically Retargeting Hardware and Code Generation for RISC-V Custom Instructions
- How Mature-Technology ASICs Can Give You the Edge
- Exploring the Latest Innovations in MIPI D-PHY and MIPI C-PHY