For improving the magnitude and frequency response performance of 2-D bandpass finite impulse response(FIR) type-3 filters designed by the conventional algorithms,an compound-sine-basis neural network algorithm was proposed.

This article introduces the operational principle of multi-sine screen as well as its application mechanism in transport coal system of washing coal plant,puts forward the work stability,no-blocking coal and effective could be brought into effect to boost economic and technical index of transport coal system in washing coal plant by the application of the screen.

The Composite Complex Sinusoidal Modeling(CCSM) for the estimation of direction and power spectrum of an incident sound using a linear array of sensors is proposed.

The relationship between the amplitude-frequency characteristic of linear phase type-four FIR filter and the algorithm of neural network based on sine basis function is discussed in detail.

The relationship between the amplitude-frequency characteristic of linear phase type-four FIR filters and the algorithm of the neural networks based on sine basis functions is discussed in detail.

On the basis of studying the general method of sine fitting, a new approach of testing the A/D dynamic characteristic with the harmonic distortion existing is put forward.

A new sine fitting method for testing the effective number of bits (ENOBs) of high-resolution ana-log-to-digital converter (ADC) is presented in this paper.