A frequency domain filter and method for implementing frequency domain filter

Abstract

The invention discloses a frequency domain filter, including: control module, memory cell array, filter coefficient memory, data switching module, rotary factor table-look-up module, output data combining module and at least a high-speed universal operating unit; the high-speed universal operating unit can make time division multiplex by the memory cell array and data switching module and provides resources for completing the data operation processing, such as FFT (fast Fourier transform algorithm), IFFT (inverse fast Fourier transform algorithm) and frequency domain filtering operation. And the same time, it also discloses a method of realizing the frequency domain filtering. It overcomes the disadvantages of traditional frequency filtering structure and provides a project for realizing perfect high-efficiency filter based on IFFT and having filtering characteristic able to dynamically change.

Description

technical field [0001] The invention relates to digital signal processing technology, in particular to a frequency domain filter and a method for realizing frequency domain filtering. Background technique [0002] In current digital signal processing systems, filters are widely used in various aspects such as filtering out interference, extracting useful signals, and shaping signals. As for the discrete digital signal of the general, linear time-invariant system, two kinds of filters of time-domain convolution type and frequency-domain multiplication type are mainly used to process it at present. For filters with constant filtering characteristics, time-domain convolution filters are widely used in chip design because of their efficient look-up table circuit implementation, which saves computing resources. But in some occasions, the shape of the unit impulse response of the filter needs to be changed dynamically, which makes the design of the filter in the form of convoluti...

AI Technical Summary

Problems solved by technology

As the overlap length L increases, the filtering performance is better, but at the same time, the resources for implementation are greatly increased, and the cost is increased.

Images