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
- DSP-Based 112G SerDes
- XTAL oscillator in TSMC-7nm
- GPU
- V-by-One Verification IP
- AI model compression IP
Related Articles
- 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 Articles
- SEAM-V: A Hybrid-Decoupled RISC-V Vector Processor with Backend-Visible EP Context for Sustained Vector Throughput
- New Number Formats for FFT IP Cores in Optical OFDM Transceivers
- Reducing Power Consumption of Embedded Dynamic Memories with ECCs
- NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference
- A 32-channel event-based bio-signal analog front-end with adaptive delta and pulse frequency encoding