Examples of using Signal processing methods in English and their translations into Chinese
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BCI2000 can incorporate alone or in combination any brain signals, signal processing methods, output devices, and operating protocols.
Thus, it is questionable whether any correlation-integral based techniques can bemore effective at predicting seizures than traditional signal processing methods.
Statistical signal processing methods provide a principled and systematic framework for developing high-performance algorithms and understanding their fundamental limits of performance.
This standard defines the cable type and signal processing method used for LANs.
This image is then digitized using methods of signal processing and then this digital image is manipulated in digital image processing. .
Here, methods such as digital signal processing(DSP) can be used to“clean” the data to get it into a more usable form.
Francis Bach is primarily interested in machine learning,and especially in sparse methods, kernel-based learning, large-scale optimization, computer vision and signal processing.
This proprietary and patented method incorporates biochemistry, physics and signal processing.
This method can be used for some less complex digital signal processing, such as digital control.
Model-Based Design(MBD) is a mathematical and visual method of addressing problems associated with designing complex control,[1] signal processing[2] and communication systems.
It is an important method in the field of digital signal processing.
Digital signal processing(DSP) refers to various methods for enhancing the precision and dependability of digital communications.
In signal processing, independent component analysis(ICA) is a computational method for separating a multivariate signal into additive subcomponents.
Optical coherence tomography is an optical signal acquisition and processing method.
Optical Coherence Tomography(OCT): OCT is an optical signal acquisition and processing method.
FracLab is a general purpose signal and image processing toolbox based on fractal and multifractal methods.
Deep Learning: Methods and Applications provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks.
The Signal Processing Theory and Methods( SPTM) Technical Committee.
The main methods of processing are: signal generation, amplification, filtering, and conversion.
In this kind of processing, the images are managed by electrical methods by varying the electrical signal. .
The most common processing approach in the time or space domain is enhancement of the input signal through a method called filtering.
However, because of the specific nature of images there are many methods developed within computer vision which have no counterpart in processing of one-variable signals. .