GOLETA, Calif.--(BUSINESS WIRE)--Resonant Inc. (NASDAQ: RESN), a designer of filters for radio frequency, or RF, front-ends that specializes in delivering designs for difficult bands and complex requirements, has been invited to present at the Drexel Hamilton Micro-Cap Investor Forum, which will be held on Thursday, May 12, 2016, at the Drexel Hamilton New York headquarters.
The Company will be presenting at 11:00 a.m. ET and will also be hosting one-on-one meetings with investors throughout the day. Please contact your Drexel Hamilton representative to schedule a meeting.
The presentation will be webcast and available for 90 days following the live presentation. The webcast can be viewed at: http://wsw.com/webcast/dham9/resn and on the investor relations section of the Resonant website.
About Resonant® Inc.
Resonant is creating innovative filter designs for the RF front-end, or RFFE, for the mobile device industry. The RFFE is the circuitry in a mobile device responsible for the radio frequency signal processing and is located between the device’s antenna and its digital baseband. Filters are a critical component of the RFFE that selects the desired radio frequency signals and rejects unwanted signals and noise. For more information, please visit www.resonant.com.
About Resonant’s ISN® Technology
Resonant can create designs for hard bands and complex requirements that that have the potential to be manufactured for half the cost and developed in half the time of traditional approaches. The Company’s large suite of proprietary mathematical methods, software design tools and network synthesis techniques enable it to explore a much bigger set of possible solutions and quickly derive the better ones. These improved filters still use existing manufacturing methods (i.e. SAW) and can perform as well as those using higher cost methods (i.e. BAW). While most of the industry designs surface acoustic wave filters using a coupling-of-modes model, Resonant uses circuit models and physical models. Circuit models are computationally much faster, and physical models are highly accurate models based entirely on fundamental material properties and dimensions. Resonant’s method delivers excellent predictability, enabling achievement of the desired product performance in roughly half as many turns through the fab. In addition, because Resonant’s models are fundamental, integration with its foundry and fab customers is eased because its models speak the “fab language” of basic material properties and dimensions.