Acquisition and its Basic Processing Technology of Multimedia Vocal Signal

Author(s):  
Xiuqin Han

This paper briefly studies the method of collecting audio signals and the method of adding noise to audio signals. It comprehensively applies various basic knowledge of digital signal processing, and then performs spectrum analysis on noise-free frequency signals and spectral analysis of noise-added frequency signals, and filtering processing. Through theoretical derivation, the corresponding conclusions are drawn, and then MATLAB is used as a programming tool to carry out computer implementation to verify the conclusions derived. In the research process, the filter processing was completed by designing the IIR digital filter and the FIR digital filter, and MATLAB was used to draw the graphics and calculate and simulate some data in the whole design.

2019 ◽  
Vol 9 (6) ◽  
pp. 1158 ◽  
Author(s):  
Yan Chen ◽  
Min Cao ◽  
Chunyan Ma

This paper briefly introduces various methods of coal desulfurization (physical desulphurization, chemical desulfurization, biological desulfurization, etc.) and analyzes some problems existing in each method. The principle and research process of friction electrostatic separation technology and high gradient magnetic separation technology in pre-combustion desulfurization technology are emphatically introduced, and the development trend of coal-fired desulfurization technology in the future is prospected.


2020 ◽  
Vol 10 (24) ◽  
pp. 9052
Author(s):  
Pavel Lyakhov ◽  
Maria Valueva ◽  
Georgii Valuev ◽  
Nikolai Nagornov

This paper proposes new digital filter architecture based on a modified multiply-accumulate (MAC) unit architecture called truncated MAC (TMAC), with the aim of increasing the performance of digital filtering. This paper provides a theoretical analysis of the proposed TMAC units and their hardware simulation. Theoretical analysis demonstrated that replacing conventional MAC units with modified TMAC units, as the basis for the implementation of digital filters, can theoretically reduce the filtering time by 29.86%. Hardware simulation showed that TMAC units increased the performance of digital filters by up to 10.89% compared to digital filters using conventional MAC units, but were associated with increased hardware costs. The results of this research can be used in the theory of digital signal processing to solve practical problems such as noise reduction, amplification and suppression of the frequency spectrum, interpolation, decimation, equalization and many others.


2014 ◽  
Vol 989-994 ◽  
pp. 4195-4199
Author(s):  
Kui Zhang ◽  
Gong Liu Yang ◽  
Wei Zhen Zheng ◽  
Ren Dong Ma

An interpolated finite impulse response (IFIR) digital filter approach was purposed to improve the demerits of traditional finite impulse response (FIR) digital filter in the case of noise attenuation for dithered Ring Laser Gyroscope (RLG). Concentrated on the time delay and computation complexity, a comparison of FIR and IIR digital filter was illustrated. By optimizing the stretch factor L, an IFIR digital filter was designed to reach the requirements of a typical RLG. The static experiment results show that the impulse number is decreased from 250 to below 0.15, attenuation of the dither noise is nearly 100 dB and group delay remains the same level by 11.25ms.


2014 ◽  
Vol 651-653 ◽  
pp. 916-919 ◽  
Author(s):  
Hong Wei Zhang ◽  
Xin Wen Duan

With the development of communication and computer, the importance of digital filter highlighted. FIR digital filter can satisfy arbitrary amplitude frequency characteristic, at the same time, it can keep accurate and strict linear phase characteristic. So it has been most widely used in digital signal processing (DSP) in the modern society. After comparing several kinds of FIR digital filter methods, this paper studies in details the realization of principle and method of FIR filter based on FPGA and MATLAB while adopting a distributed algorithm. Finally the optimal design method is proposed and simulated.


Author(s):  
Alejandro D. Martinez R. ◽  
On behalf of DarkSide Collaboration

This paper presents real-time digital filter algorithms to be applied within dark matter and neutrino measurements. The digital signal processing algorithm implements a trapezoidal pulse-shaper programmed on FPGA at 125 MHz. The real-time filter algorithm enhances the SNR of a digitized signal from a photo detection module (SiPM, cryogenic front-end electronics & 14-bits ADC). The trapezoidal filter upgrades the signal to noise ratio (SNR) from 10.4 to 15.4 with a total increment of 50%. The total on-chip power is 0.198 W.


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