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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Real-time Signal Processing Algorithms

Real-time Signal Processing Algorithms

Ramachandran, Rohith

Paperback

Technology & Engineering

ISBN10: 3639140702
ISBN13: 9783639140705
Publisher: Blues Kids Of Amer
Published: Apr 24 2009
Pages: 96
Weight: 0.33
Height: 0.23 Width: 6.00 Depth: 9.00
Language: English
Cochlear implant (CI) patients have difficulty understanding tonal languages which use pitch variations to convey meaning because of poor pitch perception. The ability of CI patients to communicate in noisy environments is severely degraded. Therefore, pitch-detection and (spatial) noise suppression is of importance to current cochlear implant devices. This thesis provides the details of real-time implementations that address these concerns. A pitch-detector was implemented to estimate the pitch and a beamformer was implemented to suppress spatial noise. The pitch-detection and the beamforming algorithms were implemented on an ARM based processor of a Personal Digital Assistant (PDA). The pitch-detection algorithm is based on the autocorrelation function. Its real-time performance was measured and its efficiency in the presence of speech-shaped noise and babble noise was evaluated. The beamforming algorithm implemented was the Griffith's beamformer. Objective and subjective tests for different signal-to-noise ratio levels of speech-shaped noise were conducted to evaluate its performance. This thesis includes the results of these evaluations.

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