Frequency Sampling Method

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Christian M Mueller - One of the best experts on this subject based on the ideXlab platform.

  • a novel Sampling Method for the spatial frequencies of sinusoid based shadowing models
    Vehicular Technology Conference, 2010
    Co-Authors: Siegfried Klein, Serkan Uygungelen, Christian M Mueller
    Abstract:

    Careful modeling of the radio channel characteristics is an important issue for system level simulations. While a number of detailed path loss, shadowing and fast fading models can be found in literature, many of them entail large computational efforts and hence lead to long simulation times, or require huge amounts of memory. In this paper, we focus on shadowing models with two-dimensional correlation properties. We present handover performance evaluations as a use case from which requirements to the modeling of the shadow fading are derived. For different implementations of the shadow fading in system level simulations, we discuss their pros and cons and then focus on the sum of sinusoid model proposed by Cai and Giannakis [1]. Our main contribution lies in a new Frequency Sampling Method to determine the coefficients of the sinusoidal waveforms. We show that this new Method, denoted as Power Sampling Method (PSM), allows for a significant reduction of the number of sinusoids while the correlation properties of the shadow fading channel are preserved.

Youquan Zheng - One of the best experts on this subject based on the ideXlab platform.

  • closed form fir filter design based on convolution window spectrum interpolation
    IEEE Transactions on Signal Processing, 2016
    Co-Authors: Xiangdong Huang, Senxue Jing, Zhaohua Wang, Youquan Zheng
    Abstract:

    This paper proposes a closed-form linear phase FIR filter design concurrently possessing high efficiency and excellent transfer characteristic. This design is derived from conventional Frequency Sampling Method through replacing its Frequency-domain interpolation function with the Fourier spectrum of a convolution window. Meanwhile, this derivation inherently contains a mechanism of synthesizing all possible sub filters into one better FIR filter, which also plays the role of optimizing the transfer characteristic in nature. The above synthesizing process is equivalent to three simple steps, from which a closed-form formula of tap coefficients can be summarized. We further prove the proposed filter’s five properties, from which a modified closed-form design without any redundant parameters is also derived. Numerical results show that, the transfer performance of the proposed design is comparable to the mainstream designs (such as WLS Method, Parks- McClellan Method). Meanwhile, the proposed design can achieve an extremely high efficiency when designing high-order FIR filters.

Siegfried Klein - One of the best experts on this subject based on the ideXlab platform.

  • a novel Sampling Method for the spatial frequencies of sinusoid based shadowing models
    Vehicular Technology Conference, 2010
    Co-Authors: Siegfried Klein, Serkan Uygungelen, Christian M Mueller
    Abstract:

    Careful modeling of the radio channel characteristics is an important issue for system level simulations. While a number of detailed path loss, shadowing and fast fading models can be found in literature, many of them entail large computational efforts and hence lead to long simulation times, or require huge amounts of memory. In this paper, we focus on shadowing models with two-dimensional correlation properties. We present handover performance evaluations as a use case from which requirements to the modeling of the shadow fading are derived. For different implementations of the shadow fading in system level simulations, we discuss their pros and cons and then focus on the sum of sinusoid model proposed by Cai and Giannakis [1]. Our main contribution lies in a new Frequency Sampling Method to determine the coefficients of the sinusoidal waveforms. We show that this new Method, denoted as Power Sampling Method (PSM), allows for a significant reduction of the number of sinusoids while the correlation properties of the shadow fading channel are preserved.

Xiangdong Huang - One of the best experts on this subject based on the ideXlab platform.

  • closed form fir filter design based on convolution window spectrum interpolation
    IEEE Transactions on Signal Processing, 2016
    Co-Authors: Xiangdong Huang, Senxue Jing, Zhaohua Wang, Youquan Zheng
    Abstract:

    This paper proposes a closed-form linear phase FIR filter design concurrently possessing high efficiency and excellent transfer characteristic. This design is derived from conventional Frequency Sampling Method through replacing its Frequency-domain interpolation function with the Fourier spectrum of a convolution window. Meanwhile, this derivation inherently contains a mechanism of synthesizing all possible sub filters into one better FIR filter, which also plays the role of optimizing the transfer characteristic in nature. The above synthesizing process is equivalent to three simple steps, from which a closed-form formula of tap coefficients can be summarized. We further prove the proposed filter’s five properties, from which a modified closed-form design without any redundant parameters is also derived. Numerical results show that, the transfer performance of the proposed design is comparable to the mainstream designs (such as WLS Method, Parks- McClellan Method). Meanwhile, the proposed design can achieve an extremely high efficiency when designing high-order FIR filters.

Serkan Uygungelen - One of the best experts on this subject based on the ideXlab platform.

  • a novel Sampling Method for the spatial frequencies of sinusoid based shadowing models
    Vehicular Technology Conference, 2010
    Co-Authors: Siegfried Klein, Serkan Uygungelen, Christian M Mueller
    Abstract:

    Careful modeling of the radio channel characteristics is an important issue for system level simulations. While a number of detailed path loss, shadowing and fast fading models can be found in literature, many of them entail large computational efforts and hence lead to long simulation times, or require huge amounts of memory. In this paper, we focus on shadowing models with two-dimensional correlation properties. We present handover performance evaluations as a use case from which requirements to the modeling of the shadow fading are derived. For different implementations of the shadow fading in system level simulations, we discuss their pros and cons and then focus on the sum of sinusoid model proposed by Cai and Giannakis [1]. Our main contribution lies in a new Frequency Sampling Method to determine the coefficients of the sinusoidal waveforms. We show that this new Method, denoted as Power Sampling Method (PSM), allows for a significant reduction of the number of sinusoids while the correlation properties of the shadow fading channel are preserved.