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Intro. to Signal Processing:Smoothing
https://terpconnect.umd.edu/~toh/spectrum/Smoothing.html
In smoothing, the data points of a signal are modified so that individual points that are higher than the immediately adjacent points (presumably because of noise) are reduced, and points that are lower than the adjacent points are increased. This naturally leads to a smoother signal (and a slower step response to signal changes).
Smoothing an audio signal? : AskElectronics
https://www.reddit.com/r/AskElectronics/comments/1rlokn/smoothing_an_audio_signal/
Usually you smooth signals with a capacitor and a resistor, the bigger the capacitor the smoother the signal (and the lower the output level). For a start I would recommend the Atmel Application Note AVR 335 - "Digital Sound Recorder with AVR and DataFlash".On page seven you can see an example amplification circuit.
US7191123B1 - Gain-smoothing in wideband speech and …
https://patents.google.com/patent/US7191123B1/en
The gain smoothing method and device modify the amplitude of an innovative codevector in relation to background noise present in a previously sampled wideband signal. The gain smoothing device comprises a gain smoothing calculator for calculating a smoothing gain in response to a factor representative of voicing in the sampled wideband signal, a factor …
Signal Smoothing - MATLAB & Simulink Example
https://www.mathworks.com/help/signal/examples/signal-smoothing.html
Signal Smoothing. Open Live Script. This example shows how to use moving average filters and resampling to isolate the effect of periodic components of the time of day on hourly temperature readings, as well as remove unwanted line noise from an open-loop voltage measurement. The example also shows how to smooth the levels of a clock signal ...
Monte Carlo Smoothing with Application to Audio Signal ...
https://www.researchgate.net/publication/3318226_Monte_Carlo_Smoothing_with_Application_to_Audio_Signal_Enhancement
Fong et al. [30] have applied this smoothing technique in the audio signal enhancement using a Monte Carlo filter. In our design, speech features model parameters are estimated before the ...
The Complete Guide to Audio Compression – Icon …
https://iconcollective.edu/audio-compression/
Audio compression reduces the dynamic range of an audio signal. Dynamic range is the difference between the loudest and quietest parts of a waveform. Compression reduces this range by attenuating the louder signals and boosting the quieter signals. ... Whereas longer release times are good for smoothing out dynamics. However, if the release is ...
Signal-Smoothing Algorithms
http://195.134.76.37/applets/AppletSmooth/Appl_Smooth2.html
Signal Smoothing Algorithms . Theory. The signal-to-noise ratio (SNR) of a signal can be enhanced by either hardware or software techniques. The wide use of personal computers in chemical instrumentation and their inherent programming flexibility make software signal smoothing (or filtering) techniques especially attractive.
Smoothing of a 1D signal — SciPy Cookbook documentation
https://scipy-cookbook.readthedocs.io/items/SignalSmooth.html
The signal is prepared by introducing reflected copies of the signal (with the window size) in both ends so that transient parts are minimized in the begining and end part of the output signal. input: x: the input signal window_len: the dimension of the smoothing window; should be an odd integer window: the type of window from 'flat', 'hanning ...
How to Clean Up Noisy Sensor Data With a Moving …
https://maker.pro/arduino/tutorial/how-to-clean-up-noisy-sensor-data-with-a-moving-average-filter
While a traditional low pass filter can be efficiently used to focus on a desired signal frequency, the moving average filter is a more direct approach to simply “smoothing out” a signal. The idea is simple: the moving average filter takes the average of the last “M” amount of entries in the signal and averages them to produce the output.
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