Application Experiment of Electronic Technology has been emerged as the times requirement,it depends on network management platform with rich resources,all-round opened education model and hierarchical experiment education system.It plays a key effect of combination with other Curriculums.Most of colleges and universities are short of imitate design section in experimental education system,as supplementary,this course brings some circuits of being used to practice and life to class,makes students really feel that process of developing from thought to object,and really to enhance the activity and initiative of students',and practically to be displayed resolution and perseverance to be dedicated in teaching reform.

An Electric power parameters measuring device based on MSP430F149 was introduced.The design of hardware circuit and software of the device was introduced.The device has high measurement precision,LCD display,data storage,and RS-485 data interface to communicate with PC.The device has the advantage of simple hardware structure,small size,lower cost,high speed,and easy for operation.

This paper introduces the principle of reconstruction of the signals from periodically non-uniform sampling by the scheme of weighted time delay estimation.The frequency aliasing is removed by weighting and delaying each uniform sample stream.Only one interpolating filter is applied on the jointed samples of weighted and delayed uniform sample streams.Consequently it reduces the reconstruction error and can be implemented more efficiently.

Wavelet neural network(WNN)combines the time-frequency location and multiple-scale analysis of wavelet transform and the self-organization and learning ability of the neural network,which is very suitable for fault diagnosis.In this paper,the fault diagnosis method for analog circuit based on WNN is introduced.Wavelet Transform is used to decompose fault signal in levels and acquire signal component in various frequency segment,using the ingredient that could reflect the fault signal character as circuits fault character to input ANN to neural network.With this method,the input number is reduced,the structure is simplified and the training time is reduced.Therefore,the ability to identify fault sort is enhanced.

Objective There are many interferences such as power interference, electrode polarization interference, myoelectricity interference, baseline drift, apparatus buzz and so on in electrocardiosignal acquisition system. It is very difficult to effectively remove these interferences in the process of actual measurement. Methods Power harmonic interference, electrode polarization interference and myoelectricity interference were removed by low-pass filter. Baseline drift was removed by high-pass filter. Power basic frequency interference was removed by 50 Hz trap filter. Results These three design proposals had such advantages as good effect, rapid speed and easy realization. Conclusion They can be well applied in ECG monitor with embedded CPU and real time character. Besides, they can also be used in medical apparatus measuring other biological electric signals and industrial observation and control system.