APPLICATION OF FILTER SHARPENING TO CASCADED INTEGRATOR-COMB DECIMATION FILTERS PDF

A new architecture for the implementation of high-order decimation filters is described. It combines the cascaded integrator-comb (CIC) multirate filter structure. Application of filter sharpening to cascaded integrator-comb decimation filters. Authors: Kwentus, A. Y.; Jiang, Zhongnong; Willson, A. N.. Publication. As a result, a computationally efficient comb-based decimation filter is obtained of filter sharpening to cascaded integrator-comb decimation filters, IEEE Trans.

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Further, this structure also improves the overall throughput rate. The above discussed sharpening technique is efficiently applied in multistage configuration to improve the response of proposed filter over existing structures.

The reason is that the increased complexity in the sharpened compensated comb structures amounts to only 3 extra additions per polynomial degree when the compensator from [ 11 ] is usedand these additions work at lower rate. The main motive of this paper is to design a Sharpened decimation filter with all the integrated advantages of existing techniques in order to achieve the better frequency response than the CIC based existing structures.

This approach has been applied to traditional comb filters [ 2526 ] and to magnitude-improved comb filters [ 51517202124 ].

Note that K must be an even value to avoid fractional delays. A new modified comb-rotated sinc RS decimator with improved magnitude response. The CIC filter at first stage operates at input sampling rate, sharpened second stage operates at lower rate as compared to first stage and sharpened third stage operates at lower rate as compared to first as well as second stage. Decimation signal processing Cascaded integrator—comb filter Coefficient. This is done in order to achieve an equiripple passband deviation in the overall filter H TS z.

An effective way to prevent this problem consists in designing nonrecursive filters [ 347 ] with filtering implemented in polyphase form for ensuring power savings. Design examples are presented in order to show the performance improvement in terms of passband distortion and selectivity compared to other methods based on the traditional Kaiser-Hamming sharpening and the Chebyshev sharpening techniques recently introduced in the literature.

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Figure 4 shows the magnitude response characteristics of these filters along with passband and first folding band details. Therefore, preserving a simple sharpening polynomial and improving the stopbands with the increase of Kas suggested in [ 23 ], do not guarantee a result with low computational complexity. Thus the second sharpened stage operates at lower sampling rate which is M1 times lower than the input sampling rate.

Design of Modified Three Stage Sharpened CIC Filter for Decimation

However, the size application this problem is generally small and the simple MATLAB code available online [ 28 ] can be used straightforwardly. Let us consider the following notation in order to formalize the optimization problem. This architecture achieves better resource utilization over existing approaches because in this structure the first stage CIC decimation filter is followed by a fixed-coefficient second-stage filter rather than a programmable-coefficient filter.

Many filter sharpening techniques have been proposed by [] to design CIC decimation filter with improved frequency response.

High-speed sharpening of decimating CIC filter. Finally, it was shown that the proposed method provides better magnitude characteristic than other sharpening-based approaches for two-stage comb-based structures since it is able to correct the passband droop introduced by the first-stage comb filter.

Moreover, method [ 34 ] is focused on sharpening traditional comb integratir-comb without compensation. A novel two-stage nonrecursive architecture for the design of generalized comb filters.

Practical design rules for optimum finite impulse response low pass digital filters. In this case, the proposed sharpened decimation filter has shown a much better improvement in pass-band droop and a little improvement in stop-band alias rejection as compared to existing conventional CIC filter [2] and modified sharpened CIC filter [11].

The following examples are discussed to show the improvement of magnitude characteristics of comb filters achieved with the proposed method in comparison to other sharpening-based schemes recently intgerator-comb in the literature.

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Moreover, it filrer shown that the use of compensated comb filters, instead of combs only as basic building blocks in the sharpened filter, results in lower complexity structures in terms of Additions Per Output Sample for the same magnitude characteristics. Fipter article at PubmedScholar Google. When it comes to the complexities in terms of APOS, the proposed solution achieves better results too.

Design of Modified Three Stage Sharpened CIC Filter for Decimation | Open Access Journals

The proposed filtering structure and integratoor-comb corresponding guidelines to decide when to use sharpened compensated filters instead of sharpened comb filters without compensation are introduced in Section 4. The implementation of second and third sharpened stage is shown in Fig. In that case, sharpened compensated comb filters become convenient when. Further the third stage operates at M2 times the lower sampling rate than the second stage and the frequency response of second stage is further sharpened by third stage.

Stephen G, Stewart RW.

The zero-phase frequency response is. Therefore this proposed filter design is best suited for DSP based applications where the best pass-band performance is required. By doing so, decimarion overall comb-based decimation scheme achieves power and area savings. Various appication techniques have been proposed to improve the frequency response of CIC filter []. Sharpening the response of a symmetric non-recursive filter by multiple use of the same filter.

Compensated sharpened comb decimation filter Gordana Jovanovic Dolecek 7th International Symposium on Image and…. Therefore there is a need of anti-aliasing filter, through which signal must be processed before starting the decimation process [1] and this complete structure is commonly known as decimation filter.