Datasheet > LNDA003-PEAL

LNDA003-PEAL

更新时间： 2024-10-19 12:00:31

品牌	Logo	应用领域
LINEAR_DIMENSIONS		/
页数	文件大小	规格书
1页	245K
描述
PEAL Signal Extraction System (PATENTS PENDING)

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中文翻译

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LNDA003-PEAL 数据手册

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LNDA003-PEAL

PEAL Signal Extraction System (PATENTS PENDING)

GENERAL DESCRIPTION

FEATURES



Linear Cloud Service, uC or PC solutions

Mobile app development for Cloud available

Signal extraction system includes all

components required to implement high

performance signal extraction

The LNDA003 is a full software suite of algorithms and GUIs

designed to extract complex waveforms from noisy

environments, where the waveform being extracted may be

much smaller in magnitude and in the same spectrum as

multiple noise objects.



FILT: Up to 8^thorder LP & HP filters, and

baseline extraction

The LNDA003 utilizes the latest in algorithmic analysis and

search engine technology to learn the characteristics of the

signal of interest, generally by showing the algorithm

examples of such waveforms, and it then generates multi-

level strategies for finding and verifying that it is identifying

and extracting only those signals.



AGC: Advanced noise stripping AGC

WAVD: Multiple algorithm based signal

analysis extraction state machine

NNWAV: Neural wavelet network based

learning algorithms



NNWGUI: Learning GUI

AGUI: Analysis GUI

Acceleration methods to allow use with

portable microcontrollers

Power management subsystem to reduce

power in portable systems

Runtime software and support for popular

microcontrollers including TI MSP430

Noise may be in the same spectrum

The software suite is made up of five primary modules: i)

FILT which includes a suite of software filters for removing

unwanted bands; ii) AGC which works with the other modules

to produce a “smart” automatic gain which will optimize the

amplitude of the signal of interest while “peeling” away noise

components; iii) WAVD which is extraction tool using multiple

techniques including wavelets to find desired signals within

noisy environments, even where the noise is in the same

spectrum; iv) NNWAV is suite of error minimizing gradient

search algorithms including wavelet neural networks with

multiple smart abstraction highlighting and proprietary Linear

Dimensions wavelets; v) GUIs for both “teaching” including

graphical manipulation and batch learning, as well as signal

manipulation to help determine the optimal algorithms for

extraction.



APPLICATIONS



Portable heart rate equipment

Portable fitness & wellness products

Non-critical diagnostics

Vibration measurement equipment

Instrumentation

Bridge amplifiers

Pressure sensors

Weigh scales

Sensor amplifiers

CUSTOMIZED DASHBOARD

EXAMPLE OUTPUT

 Linear Dimensions Semiconductor Inc.  22620 Ricardo Rd, Cupertino CA 95014 USA  tel 312.321.1810  fax 312.321.1830  www.lineardimensions.com 

中文翻译

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