Effects of Signal Quantization on the Performance of Multichannel Processing Systems

1969 ◽  
Vol 46 (2A) ◽  
pp. 293-313 ◽  
Author(s):  
A. M. Vural
Keyword(s):  
Signal Quantization ◽  
Multichannel Processing

Output regulation for switched discrete-time systems with output signal quantization

2021 ◽  
pp. 014233122198988
Author(s):  
Yaoli Zhang ◽  
Jun Zhao
Keyword(s):  
Discrete Time ◽  
Pulse Width ◽  
Pulse Width Modulation ◽  
Output Regulation ◽  
Feedback Controllers ◽  
Signal Quantization ◽  
Discrete Time Systems ◽  
Output Regulation Problem ◽  
Time Systems ◽  
Coordinates Transformation

This paper investigates the output regulation problem for switched discrete-time systems with output quantization. We adopt the quantized output in feedback controllers and allow each subsystem to have its own quantization density, so that the communication network can be efficiently utilized. By using the different coordinates transformation, the solvability of the output regulation problem is guaranteed under deigned output feedback controllers with the switching signals satisfying a dwell time constraint. In the simulation, a pulse-width modulation driven boost converter model is employed to validate the result.

Factors Ensuring Consistent Audibility in Pediatric Hearing Aid Fitting

2002 ◽  
Vol 13 (09) ◽  
pp. 503-520
Author(s):  
Francis Kuk ◽  
Andre Marcoux
Keyword(s):  
Hearing Loss ◽  
Hearing Aids ◽  
Hearing Aid ◽  
Precise Determination ◽  
Feedback Cancellation ◽  
Directional Microphones ◽  
Multichannel Processing ◽  
Important Objective ◽  
Fitting Hearing Aids

Ensuring consistent audibility is an important objective when fitting hearing aids to children. This article reviews the factors that could affect the audibility of the speech signals to children. These factors range from a precise determination of the child's hearing loss to an accurate specification of gain in the chosen hearing aids. In addition, hearing aid technology and features such as multichannel processing, directional microphones, and feedback cancellation that could affect the achievement of consistent audibility are reviewed.

scholarly journals Numerical evaluation of sine-Gordon chain energy control via subdomains state feedback under quantizationand time sampling

2019 ◽  
pp. 18-28
Author(s):  
Boris Andrievsky ◽  
Yury Orlov
Keyword(s):  
State Feedback ◽  
Communication Channel ◽  
Closed Loop ◽  
Signal Transmission ◽  
Control Signal ◽  
Time Sampling ◽  
Signal Quantization ◽  
First Order ◽  
Time Control ◽  
Level Quantization

The paper is devoted to the numerical performance evaluation of the speed-gradient algorithms, recently developed in (Orlov et al., 2018; Orlov et al., 2019) for controlling the energy of the sine-Gordon spatially distributed systems with several in-domain actuators. The influence of the level quantization of the state feedback control signal (possibly coupled to the time sampling) on the steady-state energy error and the closed loop system stability is investigated in the simulation study. The following types of quantization are taken into account: sampling-in-time control signal quantization, the level quantization for control, continuous in time; control signal quantization on level jointly with time sampling; control signal transmission over the binary communication channel with time-invariant first order coder; control signal transmission over the binary communication channel with first order coder and time-based zooming; control signal transmission over the binary communication channel with adaptive first order coder. A resulting impact on the closed-loop performance in question is concluded for each type of the quantization involved.

Event-Triggered Quantizers for Network Traffic Reduction

2017 ◽  
Vol 21 (6) ◽  
pp. 1111-1113 ◽  
Author(s):  
Juan Rodriguez Ramirez ◽  
Yuki Minami ◽  
Kenji Sugimoto ◽  
◽  
Keyword(s):  
Control Systems ◽  
Traffic Congestion ◽  
System Performance ◽  
Networked Control Systems ◽  
Fundamental Problem ◽  
Metaheuristic Algorithm ◽  
Signal Quantization ◽  
Numerical Examples ◽  
Traffic Reduction ◽  
Event Triggered

In the operation of networked control systems, signal quantization is a fundamental problem. Because a network can be shared, another important problem that affects the system performance is the network’s traffic congestion. The event-triggered quantizer is developed to reduce the effects of such problems. Its design problem is formulated, and it is solved using the differential evolution (DE) metaheuristic algorithm. The effectiveness of the event-triggered quantizer is verified through numerical examples.

THE POTENTIAL OF DIGITAL SEISMIC RECORDINGS FOR MULTICHANNEL PROCESSING

Geophysics ◽  
1970 ◽  
Vol 35 (3) ◽  
pp. 461-470 ◽  
Author(s):  
J. P. Lindsey
Keyword(s):  
Dynamic Range ◽  
Single Channel ◽  
Recording Equipment ◽  
Field Equipment ◽  
Reflection Data ◽  
Field Recording ◽  
Amplifier Gain ◽  
Multichannel Processing ◽  
New Processing ◽  
Processing Techniques

The availability of seismic digital field recording equipment has made possible new processing techniques which achieve significant reflection data enhancement. Typical of the processes that are now used routinely are deconvolution, autocorrelation and crosscorrelation, Fourier transformation, and spectral alteration. A recording fidelity that reduces errors to 1 part in 10,000 has provided the motive for developing and using these techniques. An additional capability of digital field equipment is the recording of amplifier gain information to a precision of 0.1 percent. This appears to provide a motive for developing multichannel processes which expand further our processing capabilities beyond the essentially single channel ones now in use. The present study evaluates the multichannel processing potential afforded by present day seismic digital field recording systems. The evaluation is based on measurement and computation of the effects of channel performance deviations. Each component of the field recording system (geophone, cable, amplifier, filters, sampling skew) separately, and the system as a whole, are evaluated in this context. Results of the study indicate that whereas any given channel possesses a dynamic range of 80 db, channel‐to‐channel variations establish a dynamic range of only 15 db. The 15 db range sets a serious limit on the performance of multichannel processes and points up the need for additional improvements in field hardware capabilities.

Sign in / Sign up

Export Citation Format

Share Document