• Hybrid beamforming for millimeter wave systems using the MMSE criterion

    Hybrid beamforming for millimeter wave systems using the MMSE criterion

    Hybrid analog and digital beamforming (HBF) has recently emerged as an attractive technique for millimeter-wave (mmWave) communication systems. It well balances the deman d for sufficient beamforming gains to overcome the propagatio n loss and the desire to reduce the hardware cost and power consumption. In this paper, the mean square error (MSE) is chosen as the performance metric to characterize the transmission reliability. Using the...

     15 p vaa 30/03/2020 9 1

  • Hybrid beamforming for 5G millimeter-wave multi-cell networks

    Hybrid beamforming for 5G millimeter-wave multi-cell networks

    Multi-cell wireless systems usually suffer both intracell and inter-cell interference, which can be mitigated via coordinated multipoint (CoMP) techniques. Previous works on multi-cell analysis for the microwave band generally consider fully digital beamforming that requires a complete radio-frequency chain behind each antenna, which is less practical for millimeterwave (mmWave) systems where large amounts of antennas are necessary to provide...

     8 p vaa 30/03/2020 11 1

  • Lecture Digital signal processing: Lecture 2 - Zheng-Hua Tan

    Lecture Digital signal processing: Lecture 2 - Zheng-Hua Tan

    In this lecture you will learn: System impulse response, linear constant-coefficient difference equations, fourier transforms and frequency response. Inviting you refer.

     20 p vaa 30/05/2018 215 1

  • Lecture Digital signal processing: Lecture 1 - Zheng-Hua Tan

    Lecture Digital signal processing: Lecture 1 - Zheng-Hua Tan

    Lecture Digital signal processing - Lecture 1 introduction, discrete-time signals and systems. After completing this chapter, students will be able: To make the students able to apply digital filters according to known filter specifications, to provide the knowledge about the principles behind the discrete Fourier transform (DFT) and its fast computation,...

     23 p vaa 30/05/2018 215 1

  • Lecture Signal processing: The discrete fourier transform - Nguyễn Công Phương

    Lecture Signal processing: The discrete fourier transform - Nguyễn Công Phương

    Lecture Signal processing: The discrete fourier transform include all of the following content: Computational fourier analysis, the discrete fourier transform, sampling the discrete – time fourier transform, properties of the discrete fourier transform,... and another content.

     123 p vaa 30/05/2018 224 1

  • Lecture Digital signal processing: Lecture 3 - Zheng-Hua Tan

    Lecture Digital signal processing: Lecture 3 - Zheng-Hua Tan

    Chapter 3 introduce the z-transform. This chapter presents the following content: z-transform, properties of the ROC, inverse z-transform, properties of z-transform.

     20 p vaa 30/05/2018 196 1

  • Lecture Digital signal processing: Lecture 6 - Zheng-Hua Tan

    Lecture Digital signal processing: Lecture 6 - Zheng-Hua Tan

    Lecture 6 - System structures for implementation presents the following content: Block diagram representation of computational structures, signal flow graph description, basic structures for IIR systems, transposed forms, basic structures for FIR systems.

     21 p vaa 30/05/2018 205 1

  • Lecture Digital signal processing: Lecture 4 - Zheng-Hua Tan

    Lecture Digital signal processing: Lecture 4 - Zheng-Hua Tan

    Lecture Digital signal processing - Lecture 4 present sampling and reconstruction. The main contents of this chapter include all of the following: Periodic sampling, „frequency domain representation, reconstruction, changing the sampling rate using discretetime processing.

     18 p vaa 30/05/2018 213 1

  • Lecture Digital signal processing: Lecture 5 - Zheng-Hua Tan

    Lecture Digital signal processing: Lecture 5 - Zheng-Hua Tan

    In this chapter you will learn: Frequency response, system functions, relationship between magnitude and phase, all-pass systems, minimum-phase systems, linear systems with generalized linear phase.

     18 p vaa 30/05/2018 171 1

  • Lecture Signal processing: Discrete – Time signals and systems - Nguyễn Công Phương

    Lecture Signal processing: Discrete – Time signals and systems - Nguyễn Công Phương

    In this chapter, the following content will be discussed: Discrete – time signals, discrete – time systems, convolution description of linear time – invariant systems, properties of linear time – invariant systems, analytic evaluation of convolution, numerical computation of convolution, real – time implementation of FIR filters,...

     74 p vaa 30/05/2018 170 1

  • Lecture Digital signal processing: Lecture 9 - Zheng-Hua Tan

    Lecture Digital signal processing: Lecture 9 - Zheng-Hua Tan

    Lecture Digital signal processing - Lecture 4 introduce the discrete fourier transform. This lesson presents the following content: The discrete Fourier series, the Fourier transform of periodic signals, sampling the Fourier transform, the discrete Fourier transform, properties of the DFT, linear convolution using the DFT.

     21 p vaa 30/05/2018 216 1

  • Lecture Digital signal processing: Lecture 7 - Zheng-Hua Tan

    Lecture Digital signal processing: Lecture 7 - Zheng-Hua Tan

    Lecture Digital signal processing - Lecture 7 presents the following content: Filter design, IIR filter design, analog filter design, IIR filter design by impulse invariance, IIR filter design by bilinear transformation.

     21 p vaa 30/05/2018 193 1

Hướng dẫn khai thác thư viện số