A low power consumption 16-bit fixed point Digital Signal Processor (DSP) has been developed to realize a half-rate CODEC for the Personal Digital Cellular (PDC) system. Dual datapath architecture has been employed to execute multiply-accumulate (MAC) operations with a high degree of efficiency. With this architecture. 86.3% of total MAC operations in the Pitch Synchronous Innovation Code Excited Linear Prediction (PSI-CELP) program are executed in parallel, so that total instruction cycles are reduced by 23.1%. The area overhead for the dual datapath architecture is only 3.0% of the total area. Furthermore, in order to reduce power consumption, circuit design techniques are also extensively applied to RAMs. ROMs, and clock circuits, which consume the great majority of power. By reducing the number of precharging bit lines, a power reduction of 49.8% is achieved in RAMs, and above 40% in ROMs. By applying gated clock to clock lines, a power reduction of 5.0% is achieved in the DSP that performs the PSI-CELP algorithm. The DSP is fabricated in 0.5 µm single-poly, double-metal CMOS technology. The PSI-CELP algorithm for the PDC half-rate CODEC can operate at 22.5 MHz instruction frequency and 1.6 V supply voltage. resulting in a low-power consumption of 28 mW.

This paper proposes a consensus-based distributed Particle Swarm Optimization (PSO) algorithm with event-triggered communications for a non-convex and non-differentiable optimization problem. We consider a multi-agent system whose local communications among agents are represented by a fixed and connected graph. Each agent has multiple particles as estimated solutions of global optima and updates positions of particles by an average consensus dynamics on an auxiliary variable that accumulates the past information of the own objective function. In contrast to the existing time-triggered approach, the local communications are carried out only when the difference between the current auxiliary variable and the variable at the last communication exceeds a threshold. We show that the global best can be estimated in a distributed way by the proposed event-triggered PSO algorithm under a diminishing condition of the threshold for the trigger condition.

In this paper, we propose a distributed subgradient-based method over quantized and event-triggered communication networks for constrained convex optimization. In the proposed method, each agent sends the quantized state to the neighbor agents only at its trigger times through the dynamic encoding and decoding scheme. After the quantized and event-triggered information exchanges, each agent locally updates its state by a consensus-based subgradient algorithm. We show a sufficient condition for convergence under summability conditions of a diminishing step-size.

This paper describes a high-performance, low-power, mixed-signal Digital Signal Processor (DSP) and its application to a single-chip Vector Sum Excited Linear Prediction (VSELP) speech codec. The DSP consists of a 25MIPS, 24bit floating point core-DSP; 13bit oversampling ADC/DAC; 6 KW data ROM; and 3.5 KW data RAM. The total transistor counts of the DSP is 1.3 million and its chip size is 11.0 mm15.8 mm. Unique design techniques are used to reduce the power dissipation, such as the programmable machine cycle time control and the clock supply control scheme in the core-DSP, the address detection for on-chip data ROM/RAM, and the shared-hardware design for digital filters of ADC and DAC. As an application of the DSP, the VSELP speech codec, which is the standard speech codec for the North American and Japanese digital cellular telephone system, has been implemented in a single-chip. Owing ti the salient architecture design and the program optimization techniques, sufficient quality was obtained in the codec at performance of 16.4 MIPS with low-power dissipation of 490 mW.

Built-in self-test (BIST) has been applied to test an analog to digital converter (ADC) and a digital to analog converter (DAC) embedded in a DSP-core ASIC. The eight performance characteristics of the ADC and the DAC designed in accordance with the ITU-T recommendations are measured using the BIST. Three of the eight characteristics - the attenuation/frequency distortion, the variation of gain with input level, and the signal-to-total distortion - have been evaluated and the measured results have shown good agreement with measured results by conventional tests. In the BIST operation, the DSP-core generates input stimulus and analyzes output response by control of the self-test program, The sizes of the self-test program and coefficient data are 822 words of the IROM and 384 words of the data ROM, respectively. This area overhead is less than 0.5% of total chip area. Test-time by the BIST is reduced to approximately 3.2 seconds, which is one-tenth that of conventional testing. The mixed-signal DSP-core ASIC is testable with only logic test equipment, and as a result, test-cost - that is test investment and test-time - is reduced compared with conventional test methods.