scholarly journals Modelling of Hearing Aid’s Digital Signal Processor

According to the World Health Organization (WHO), hearing loss (HL) is one of the six key contributors to worldwide disease rates. It is becoming a critical issue in society, not just affecting the aging population, but also negatively impacting young people who are spending more of their spare time performing activities that expose them to excessive noise levels. In this research, we intend to design a filter as a signal processing system in a hearing aid (HA). MATLAB is used to model the digital filter structure, while Simulink is used to capture the entire design. This study examines current critical concerns in hearing aid research from the perspectives of a variety of disciplines. The study proposes a filter and signal processor model based on hearing aid experience, but first, it provides an audiogram for numerous examples to determine if the suggested model would suit or not. The work thus provides an effective compensation of missed high-frequency sounds response in patient hearing by the digital signal processor.

2013 ◽  
Vol 391 ◽  
pp. 555-559
Author(s):  
Yu Chen ◽  
Qiong Qiong Xu ◽  
Jian Wei Leng

This paper presents a kind of design scheme about radar echo wave signal processing system based on digital signal processor (TMS320C6416) and FPGA (EP2C8Q). This scheme is used to timely monitor radar echo data and then calculates it. Distance of target items can be obtained by this method. Take advantage of flexibility and easy-processing complicated data of FPGA and DSP, we promote property of this system to a large extent


2012 ◽  
Vol 518-523 ◽  
pp. 1436-1441
Author(s):  
Yang Liu ◽  
Yong Tie ◽  
Shun Na ◽  
Dong Li

Leak detection and calibration of pipe internal roughness in a water distribution network are significant issue for environment pollution around the world. In recent years the problem of leak detection in pipelines, tanks, and process vessels has been the focus of many man-hours of effort. Acquisition the acoustic signal around the leakage to determine the location and size of leaks is emerging as an important tool. A double acoustic data acquisition and signal processing system based on the TI digital signal processor TMS320VC5410 and analog to digital converter TLC320AD50C is presented in this paper. The system design is introduced, with emphasis on the digital signal processor minimal system and TMS320VC5410 interface circuit which consists of two chips of A/D TLC320AD50C. The software development of the data acquisition and signal analysis is introduced. The system can be used in the application of real-time acoustic signal acquisition and leak location.


2015 ◽  
Vol 719-720 ◽  
pp. 534-537
Author(s):  
Wen Hua Ye ◽  
Huan Li

With the development of digital signal processing technology, the demand on the signal processor speed has become increasingly high. This paper describes the hardware design of carrier board in high-speed signal processing module, which using Xilinx's newest Virtex-7 FPGA family XC7VX485T chip, and applying high-speed signal processing interface FMC to transport and communicate high-speed data between carrier board and daughter card with high-speed ADC and DAC. This design provides a hardware implementation and algorithm verification platform for high-speed digital signal processing system.


2016 ◽  
Vol 5 (2) ◽  
pp. 17-28
Author(s):  
Ravim ◽  
Suma K. V.

Designing a real-time BCI device requires an Electroencephalogram (EEG) acquisition system and a signal processing system to process that acquired data. EEG acquisition boards available in market are expensive and they are required to be connected to computer for any processing work. Various low cost Digital Signal Processor (DSP) boards available in market come with internal Analog to Digital converters and peripheral interfaces. The idea is to design a low cost EEG amplifier board that can be used with these commercially available DSP boards. The analog data from EEG amplifier can be converted to digital data by DSP board and sent to computer via an interface for algorithm development and further control operations. EEG amplifiers are highly affected by noise from environment. Proper noise reduction techniques are implemented and simulated in circuit design. Each filter stage and noise reduction circuit is evaluated for a low noise design.


1993 ◽  
Vol 94 (3) ◽  
pp. 1882-1882
Author(s):  
Michael A. Grim ◽  
Christopher Schwietzer ◽  
Eric Lindemann ◽  
Richard H. Sweetman

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