Digital neural networks are suitable for WSI implementation because their noise immunity is high, they have a fault tolerant structure, and the use of bus architecture can reduce the number of interconnections between neurons. To investigate the feasibility of WSIs, we integrated either 576 conventional neurons or 288 self-learning neurons on a 5-inch wafer, by using 0.8-µm CMOS technology and three metal layers. We also developed a new electron-beam direct-writing technology which enables easier fabrication of VLSI chips and wafer-level interconnections. We fabricated 288 self-learning neuron WSIs having as many as 230 good neurons.

OFDM (Orthogonal Frequency Division Multiplexing) is a useful digital modulation method for terrestrial digital broadcasting systems, both for digital TV broadcasting and digital audio broadcasting. OFDM is a kind of multicarrier modulation and shows excellent performance especially in multipath environments and in mobile reception. Other advantages are its resistance to interference signals and its suitability for digital signal processing. When each carrier of the OFDM signal is modulated with DQPSK, we call it DQPSK-OFDM. DQPSK-OFDM is a basic OFDM system, which is especially suitable for mobile reception. This paper describes how a DQPSK-OFDM system works and shows several experimental and simulation results. The experimental results mainly concern the performance of the DQPSK-OFDM system relative to various disturbances such as multipath (ghost) signals, nonlinearity of the channel, and interference from analog signals. The transmission characteristics of DQPSK-OFDM are investigated and the basic criteria for the system design of DQPSK-OFDM are discussed.