
Discrete time signals
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Lecture Physiological signal processing - Chapter 2: Signals and systems. This chapter will cover the following: characterization and representation of discrete – time signals; characterization and representation of discrete – time systems;... Please refer to the chapter for details!
53p
chutieubang
06-12-2022
3
1
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Lecture Physiological signal processing - Chapter 3: Fourier analysis. This chapter will cover the following: sinusoidal signals and their properties; fourier representation of continuous – time signals; fourier representation of discrete – time signals;... Please refer to the chapter for details!
122p
chutieubang
06-12-2022
1
1
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Lecture Physiological signal processing - Chapter 4: Signal sampling and reconstruction. This chapter will cover the following: periodic sampling of continuous – time signals; frequency analysis of periodic sampling; reconstruction of continuous – time signals from samples; discrete processing of continuous – time signals;... Please refer to the chapter for details!
30p
chutieubang
06-12-2022
2
1
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Ebook Introduction to signal processing: Part 2 Provides an applications-oriented introduction to digital signal processing. Orfandis covers all the basic DSP concepts and methods, such as sampling, discrete-time systems, DFT/FFT algorithms, and filter design.
468p
lavender2022
23-04-2022
10
1
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Principles, algorithms and applications: Digital signal processing (Fourth Edition) - Part 1 has present the content introduction to signals, systems, and signal processing; analog-to-digital and digital-to-analog conversion; discrete-time signals and systems; the z-transform and its application to the analysis of LTI systems; frequency analysis of signals; frequency-domain analysis of LTI systems;...
491p
chenlinong_0310
23-02-2022
13
1
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Principles, algorithms and applications: Digital signal processing (Fourth Edition) - Part 2 has present the content efficient computation of the DFT: fast fourier transform algorithms; implementation of discrete-time systems; design of digital filters; multirate digital signal processing; linear prediction and optimum linear filters; adaptive filters; frequency analysis of signals using the DFT;...
476p
chenlinong_0310
23-02-2022
24
1
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Xử lý tín hiệu số (Digital Signal Processing - DSP) hay tổng quát hơn, xử lý tín hiệu rời rạc theo thời gian (Discrete-Time Signal Processing - DSP) là một môn cơ sở không thể thiếu được cho nhiều ngành khoa học, kỹ thuật như: điện, điện tử, tự động hóa, điều khiển, viễn thông, tin học, vật lý,...Mời các bạn cùng tham khảo nội dung phần 1 sau đây.
96p
hoathachthao090
10-02-2022
19
2
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Lecture Signals & systems. After completing this section, you will understand knowledge about: some elementary discrete time signals, classification of discreproperties of continuous time systems: block diagram and system terminology, system properties: homogeneity, time invariance, additivity, linearity and superposition, stability, causality. The continuous time fourier series: basic concepts and development of the fourier series, calculation of the fourier series, properties of the fourier series.
56p
bachkhinhdaluu
03-12-2021
8
0
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Lecture Advanced control systems. After completing this section, you will understand knowledge about: discrete time control systems and continuous time control systems, sampling process; z‐plane analysis of discrete time control systems: impulse sampling and data hold, reconstruction of original signals from sampled signals; concepts of state, state variables and state model (of continuous time systems);...
114p
bachkhinhdaluu
03-12-2021
14
0
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Lecture ELEC2400 signals and systems: Chapter 9 - Discrete-time fourier analysis. After completing this section, you will understand the knowledge about discrete-time fourier transform; Discrete fourier transform and fast fourier transform.
17p
lazzaro
03-12-2021
11
0
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In numerous signal processing applications, non-stationary signals should be segmented to piece-wise stationary epochs before being further analyzed. In this article, an enhanced segmentation method based on fractal dimension (FD) and evolutionary algorithms (EAs) for non-stationary signals, such as electroencephalogram (EEG), magnetoencephalogram (MEG) and electromyogram (EMG), is proposed. In the proposed approach, discrete wavelet transform (DWT) decomposes the signal into orthonormal time series with different frequency bands.
12p
trinhthamhodang1
16-11-2019
10
0
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The document Algorithms and applications - Digital signal processing principles present the content: discrete-time signals and systems, the Z-transform and its application to the analysis of LTI systems, frequency analysis of signals and systems, the discrete fourier transform: its properties and applications, efficient computation of the dft: fast fourier transform algorithms, implementation of discrete-time systems, design of digital filters, sampling and reconstruction of signals, multirate digital signal processing, linear prediction and optimum linear filters, power spectrum estimation.
1033p
cao_duy_son
15-08-2019
65
5
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The document Applied processing digital signal presnet the content: applications of digital signal processing, discrete-time signals and systems, the Z-transform, fourier representation of signals, transform analysis of LTI systems, sampling of continuous-time signals, the discrete Fourier transform, computation of the discrete fourier transform, structures for discrete-time systems, design of fir filters, design of IIR filters, multirate signal processing, random signals, random signal processing, finite Wordlength effects.
1009p
cao_duy_son
15-08-2019
76
4
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(bq) part 2 book "signals and systems using matlab" has contents: sampling theory, discrete-time signals and systems, the z-transform, fourier analysis of discrete time signals and systems, introduction to the design of discrete filters, applications of discrete time signals and systems
336p
bautroibinhyen20
06-03-2017
38
5
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(bq) part 1 book "wavelets and subband coding" has contents: wavelets, filter banks and multiresolution signal processing; fundamentals of signal decompositions; discrete time bases and filter banks.
225p
bautroibinhyen19
02-03-2017
45
5
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Bài giảng Xử lý tín hiệu số: Signal and System in Time Domain - Ngô Quốc Cường (ĐH Sư phạm Kỹ thuật)
Bài giảng "Xử lý tín hiệu số: Signal and System in Time Domain" cung cấp cho người học các kiến thức: Discrete time signals, discrete time systems, LTI systems. Mời các bạn cùng tham khảo nội dung chi tiết.
90p
doinhugiobay_13
24-01-2016
60
3
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Bài giảng "Xử lý tín hiệu số: Fourier Transform" cung cấp cho người học các kiến thức: Frequency analysis of discrete time signal, properties of Fourier transform, frequency domain characteristics of LTI systems, discrete Fourier Transform, fast Fourier Transform. Mời các bạn cùng tham khảo nội dung chi tiết.
72p
doinhugiobay_13
24-01-2016
59
2
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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,...
23p
youcanletgo_04
17-01-2016
75
2
Download
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In this lecture you will learn: System impulse response, linear constant-coefficient difference equations, fourier transforms and frequency response. Inviting you refer.
20p
youcanletgo_04
17-01-2016
49
2
Download
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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.
20p
youcanletgo_04
17-01-2016
39
2
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