This paper proposes applications of a code-division multiplexing technique to VLSI systems free from interconnection problems. We employ a pseudo-random orthogonal m-sequence carrier as a multiplexable information carrier to achieve efficient data transmission. Using orthogonal property of m-sequences, we can multiplex several computational activities into a single circuit, and execute in parallel using multiplexed data transmission with reduced interconnection. Also, randomness of m-sequences offers the high tolerance to interference (jamming), and suppression of dynamic range of signals while maintaining a sufficient signal-to-noise ratio (SNR). We demonstrate application examples of multiplex computing circuits, neural networks, and spread-spectrum image processing to show the advantages.

Focused Ion Beam (FIB) trimming techniques for circuit optimization for GaAs MMICs by adjusting the parameters of IC components such as resistors, capacitors, microstrip lines, and FETs have been developed. The adjustment is performed by etching of the components and depositing of metal films for micro-strip lines. This technology turned out to be in need of only half a day to optimize the circuit pattern without any further wafer processes, while a conventional method that is comprised of revising mask pattern and following several cycles of wafer process has needed 0.5-1.0 year requiring huge amount of development cost. This technology has been successfully applied to optimization of an X-band low dissipation current single stage MMIC amplifier, and has shown its great feasibility for shortening the turn around time.