lnd a 003 - peal peal signal extraction system (patents pending) datasheet d general description ? linear cloud service, uc or pc solution s ? mobile app development for cloud available ? signal extraction system includes all components required to implement high performance signal extraction ? filt: up to 8 th order lp & hp filters , and baseline extraction ? agc: advanced noise stripping agc ? wav d: multiple algorithm based signal analysis extraction state machine ? nn wav : neural wavelet network based learning algorithms ? nnwgui: learning gui ? agui: analysis gui ? acceleration methods to allow use with portable microcontrol lers ? 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 ? baseline wander elimination ? implementation support and customization features 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 sm aller in magnitude and in the same spectrum as multiple noise objects. 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. the soft ware 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 multipl e techniques including wavelets to find desired signals within noisy environments , even where the noise is in the same spe ctrum ; iv) nnwav is suite of error minimizing gradient search algorithms including wavelet neural networks with multiple smart abstrac tion 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 ? portab le h eart rate e quipment ? portable fitness & wellness p roducts ? non - critical d iagnostics ? vibration measurement equipment ? ins t rumentation ? bridge amplifiers ? pressure sensors ? weigh scales ? sensor amplifiers example output ? linear dimensions semiconductor inc. ? 22620 ricardo rd, cupertino ca 95014 usa ? tel 312.321.1810 ? fax 312.321.1830 ? www.lineardimensions.com ? customized dashboard
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