Signal Processing

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Crossfield employs digital and/or analog signal processing in almost all of the systems we develop. From digital FIR filters to very large “n” FFT’s, Crossfield uses a range of digital signal processing including off-the-shelf purchased IP (intellectual property) to custom signal processing developed for unique requirements. For example, Crossfield has developed hardware and corresponding software to implement near real-time FFT’s with millions of points.

Some applications are more efficiently implemented using analog signal processing such as the programmable gain and active filter techniques used to condition many sensor circuits prior to digitization. Crossfield has developed many such signal conditioning chains to support its instrumentation business.

Heterogeneous Clusters for Signal Processing

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Crossfield is developing clustering technologies for communications intense algorithms, such as those commonly found in real-time signal processing and hardware-in-the-loop simulation applications. The centerpiece of this technology is a full-mesh bridge chip that provides unsurpassed data communications bandwidth between signal processors. Crossfield's "multipath" communications technology provides an order-of-magnitude increase in network bandwidth through a switch fabric.

Emerging Computing Technologies

In many real-time signal processing applications, the data rate exceeds the capability of traditional processors. Reconfigurable Computing (RCC) in Field Programmable Gate Arrays (FPGAs), General Purpose Computing on Graphics Processing Units (GP GPU), and digital signal processing on the Cell Broadband Engine are examples of advanced computing methods used by Crossfield to accelerate computationally-intense algorithms.

Message Passing Interface Optimized for DSP

Crossfield supports the Open MPI project's efforts to provide a common message passing interface across heterogeneous computing platforms. Crossfield is deploying a DSP MPI across a 10 Gbps Ethernet network fabric using OpenFabrics and Remote Direct Memory Access (RDMA) networking technology.

Large-Scale Storage Systems

Large-scale instrumentation systems need large-scale storage systems for data capture, processing and archival. Crossfield Technology is teamed with Copan Systems to provide Massive Arrays of Idle Disks (MAID) technology to the instrumentation community.

High-Speed, Non-Volatile Network Data Buffers

Advanced sensors produce copious amounts of data in real-time. Crossfield is developing high-speed, non-volatile memory systems to capture network sensor data arriving at Gbps to Tbps.