An adjustable novel window function with its application to FIR filter design

Rakshit, Hrishi; Ullah, Muhammad Ahsan

doi:10.1109/ccie.2015.7399312

Cited by 8 publications

(11 citation statements)

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“…In [129], a new form of adjustable window function combining a tangent hyperbolic function and a weighted cosine series is proposed. In this paper, the modified tangent hyperbolic function is given as…”

Section: Rakshit's Methodsmentioning

confidence: 99%

“…where γ is a variable which controls the shapes and frequency response of window function, and " × " denotes dot product. Figure 5 shows the frequency responses of Gaussian window and the new window proposed in [129]. The length of the filters is N = 65, and B = 1, α = 2.5, γ = 1.5 for the new window in [129].…”

Section: Rakshit's Methodsmentioning

confidence: 99%

“…Figure 5 shows the frequency responses of Gaussian window and the new window proposed in [129]. The length of the filters is N = 65, and B = 1, α = 2.5, γ = 1.5 for the new window in [129]. It can be observed that the new window has much less side-lobe peak level than Gaussian window while its main-lobe width keeps exactly the same.…”

Section: Rakshit's Methodsmentioning

confidence: 99%

“…Bit Error Rate (BER) K=4 in [118] K=4 the LS criteria in [51] Proposed method in [120] Proposed method in [123] (b) BERs of FBMC using frequency sampling methods. Proposed window in [125] Proposed window in [126] Proposed window in [127] Proposed window in [129] Proposed window in [130] - Bit Error Rate (BER)…”

Section: Frequency Sampling Methodsmentioning

confidence: 99%

“…Rakshit's method [129] A window function combining tangent hyperbolic function and weighted cosine series using an adjustable parameter γ.…”

Section: Consmentioning

confidence: 99%

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An Overview of FIR Filter Design in Future Multicarrier Communication Systems

et al. 2020

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Future wireless communication systems are facing with many challenges due to their complexity and diversification. Orthogonal frequency division multiplexing (OFDM) in 4G cannot meet the requirements in future scenarios, thus alternative multicarrier modulation (MCM) candidates for future physical layer have been extensively studied in the academic field, for example, filter bank multicarrier (FBMC), generalized frequency division multiplexing (GFDM), universal filtered multicarrier (UFMC), filtered OFDM (F-OFDM), and so forth, wherein the prototype filter design is an essential component based on which the synthesis and analysis filters are derived. This paper presents a comprehensive survey on the recent advances of finite impulse response (FIR) filter design methods in MCM based communication systems. Firstly, the fundamental aspects are examined, including the introduction of existing waveform candidates and the principle of FIR filter design. Then the methods of FIR filter design are summarized in details and we focus on the following three categories—frequency sampling methods, windowing based methods and optimization based methods. Finally, the performances of various FIR design methods are evaluated and quantified by power spectral density (PSD) and bit error rate (BER), and different MCM schemes as well as their potential prototype filters are discussed.

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Section: Rakshit's Methodsmentioning

confidence: 99%

Section: Rakshit's Methodsmentioning

confidence: 99%