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 attend the Oppenheimer Emerging Growth Conference. The conference is being held on May 16, 2017, at the Sofitel Hotel in New York City.
Resonant management will host one-on-one meetings throughout the day. Conference participation is by invitation only and registration is mandatory. For more information on the conference or to schedule a one-on-one meeting, please contact your Oppenheimer representative.
About Resonant Inc.
Resonant is creating software tools and IP & licensable blocks that enable the development of 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 difficult filter bands with complex requirements that we believe 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 best potential designs for the specific filter. These improved filters still use existing manufacturing methods (i.e. surface acoustic wave, or SAW) and can perform as well as those using higher cost methods (i.e. bulk acoustic wave, or BAW). While most of the industry designs SAW 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.