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This paper introduces a design of asymmetric compensation filters based on stochastic computation for auditory signal processing. Asymmetric compensation filters are used to model gammachirp filters, which well express the performance of human auditory peripheral mechanism and can be used for hearing assisting devices and noise robust speech recognition systems. Using stochastic computation, the asymmetric compensation filters are simply designed using cascaded IIR filters, thanks to a low-complexity implementation of a multiplication. However, the maximum gain of stochastic filters is limited to 1, causing undesirable filter responses. To address the issue, the proposed flexible gain adjusting (FGA) technique normalizes the gain at each IIR filter in stochastic domain while adjusting the total gain in binary domain. For hardware implementation, stochastic asymmetric compensation filters are designed using TSMC 65 nm CMOS technology and the performance is evaluated with the chip layout generated using a standard cell design flow.

Effective use of waste heat at low and medium temperatures is considered as one of the solutions to alleviate energy shortages and environmental pollution problems. Due to its feasibility and reliability, the organic Rankine cycle is continued to attract widespread interest from researchers and/or manufacturers. This paper presents thermodynamic and economic analyses on flue-gas assisted organic Rankine cycles (FGA-ORCs) based on both energy and exergy concepts. The heat source of the FGA-ORC system is the exhaust flue-gas of a stenter-frame which is highly used in textile finishing process. In this study, to convert thermal energy into electrical and/or mechanical energy on a small scale, an optimization study was performed using five different cycle architectures. Parametric studies were also carried out to investigate the effect of operating parameters on performance indicators such as efficiency, economical profit and performance ratio. Finally, under specified operating conditions, the thermal architecture was identified that reduces exergy destruction and increases economic profit due to increased net-work output. For analyzed cases in this study, Scenario-4 (i.e., thermal architecture 4) shows the best system performance with 69% exergetic efficiency within the thermodynamic and practical limits.