提出了两种通用有源电流模式滤波器：1.用两个电流传送器（CCII）实现的电流模式三输入单输出二阶滤波器新电路,选择不同的输入信号组合即能获得低通、高通、带通、陷波和全通五种二阶滤波函数；2.由CCII和多输出端跨导运算放大器（OTA）实现的单输入多输出滤波器新电路。所提电路结构简单、中心频率ω0和品质因数Q独立可调、无源元件全部接地，滤波器特性参数对无源元件灵敏度低。理论分析和计算机仿真表明所提电路方案正确。

本文提出了一种新的利用跨导运放OTA精确实现电压-电流型硬限幅函数神经元方法，它的主要特点是容易实现、且神经元的输出幅值可调。本文所提的基于OTA的硬限幅函数神经元（简称OHL）非常适合于求解L1问题的神经网络跨导模式综合实现。实例和计算机仿真结果与理论分析相吻合。

According to the principle of fault detect and diagnosis, this paper presents a new technology of data mining to deal. with a lot of data got from fault detection and diagnosis. A method using database technology to solve fault detection and diagnosis is developed.

A fault identification approach for nonlinear analogue systems is presented. A fuzzy neural network is developed based on the improving fuzzy weighted reasoning method. The training of network weights and optimization of membership functions are conducted employing genetic algorithms. Fuzzy rules can be realized through the refresh of the weights of the neural network. The availability of the method is examined by simulated test examples.

A universal current-mode filter with three inputs using CCII+/-is pressented. This filter which possesses three inputs and one output can generate all biquadratic filtering functions of lowpass, highpass, bandpass, notch and allpass at the output terminate by selecting different input signal combinations of three inputs. The filter has the followng merits: it uses only three CCII+/-, three grounded resistors and three grounded capacitors which makes it not only suitable for integrated circuit implementation, but also independent control of ω0, Q, no matching condition is required. offering multifunction output, and has low passive and active senstivities and cascadability. Its structure is simple than that designed by C. M. Chang and P.C. Chen[7].

A general scheme for the VLSI implementation of high-frequency continuous wavelet transform is developed using instantaneous companding technique to get an elegant solution to the problem of maintaining dynamic range and high frequency operation under low power supply voltages. An analogue BiCMOS high-frequency continuous wavelet transform circuit presented in this paper performs a time-frequency decomposition of a high-frequency input signal. The design and implementation of element circuits including voltage-controlled oscillator (VCO), phase-locked loop (PLL) using static and dynamic translinear circuits are also described in detail.

A new method for fault diagnosis of large-scale analogue circuits based on the class concept is developed in this paper. A large analogue circuit is decomposed into blocks/sub-circuits and the nodes between the blocks are classified into three classes. Only those sub-circuits related to the faulty class need to be, treated. Node classification reduces the scope of search for faults, thus reduced after-test time.' The proposed method is more suitable for real-time testing and can deal with both hard and soft faults. Tolerance effects are taken into account in the method. The class-based fault diagnosis principle and neural network based method are described in some details. Two non-trivial circuit examples are presented, showing that the proposed method is feasible.

A systematic method for fault diagnosis of analogue circuits based on the combination of neural networks and wavelet transforms is presented. Using wavelet decomposition as a tool for removing noise from the sampled signals, optimal feature information is extracted by wavelet noise removal, multi-resolution decomposition, PCA (principal component analysis) and data normalisation. The features are applied to the proposed wavelet neural network and the fault patterns are classified. Diagnosis principles and procedures are described. The reliability of the method and comparison with other methods are shown by two active filter examples.

The paper deals with fault isolation in nonlinear analogue circuits with tolerance under an insufficient number of independent voltage measurements. The L1-norm optimisation problem for different scenarios of nonlinear fault diagnosis is formulated with a new fast method being presented. How to solve the L1-norm optimisation problem is discussed and a new neural network-based approach for solving the nonlinear constrained L1-norm optimisation problem is proposed and utilised in locating the most likely faulty elements in nonlinear circuits. The validity of the proposed method is verified and simulation examples are presented.

A fully differential R-MOSFET-C fourth-order Bessel active low-pass filter employing passive resistors and current-steering MOS transistors as a variable resistor is proposed. The implementation relies on the tunability of the current-steering MOS transistors operating in the triode region which counteract the deviation of resistors in integrated circuit manufacturing technology in order that the group delay of the Bessel active filter can be realized accurately. A 0.75 us group delay 520kHz frequency fourth-order Bessel lowpass filter based on a passive doubly terminated RLC prototype was designed and fabricated using 3.3V power supply and 0.35um CMOS technology. Chip test results demonstrate better than -65dB THD with @ 100kHz, 1.65-Vpp signal, frequency tuning range of more than ten decades from 0.6kHz to 550kHz, chip area of 0.32mm2 and power consumption of 13.3mW.