
Discrete time signals
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After studying this chapter students will be able to understand frequency analysis of signals and systems. This chapter includes content: Discrete time fourier transform DTFT, discrete fourier transform DFT, fast fourier transform FFT.
41p
youcanletgo_04
15-01-2016
60
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Chapter 3 presents the discrete-time systems. In this chapter, you will learn to: Input/output relationship of the systems, linear time-invariant (LTI) systems, FIR and IIR filters, causality and stability of the systems.
49p
youcanletgo_04
15-01-2016
62
3
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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
72
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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
71
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Chương 1: Khái niệm tín hiệu và hệ thống 1. Đọc và vẽ sơ đồ tín hiệu, nhận biết các đặc điểm (về thời gian, biên độ và tần số ) và phân loại tín hiệu (qua mô tả toán học hoặc trên sơ đồ): - Tín hiệu thực (real-value signal), tín hiệu phức (complex-value signal) - Tín hiệu liên tục (continuous-time signal), tín hiệu không liên tục hay tín hiệu gián đoạn (discrete-time signal) - Tín hiệu tương tự (analog signal), tín hiệu rời rạc (discrete signal). - Tín hiệu nhân quả (causal signal), phi nhân quả (noncausal signal), phản...
5p
lbkt_bk
15-03-2013
507
90
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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Reconstruction of Nonuniformly Sampled Bandlimited Signals by Means of Time-Varying Discrete-Time FIR Filters
18p
dauphong20
11-03-2012
50
5
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EURASIP Journal on Applied Signal Processing 2003:12, 1229–1237 c 2003 Hindawi Publishing Corporation Nonlinear System Identification Using Neural Networks Trained with Natural Gradient Descent Mohamed Ibnkahla Electrical and Computer Engineering Department, Queen’s University, Kingston, Ontario, Canada K7L 3N6 Email: mohamed.ibnkahla@ece.queensu.ca Received 13 December 2002 and in revised form 17 May 2003 We use natural gradient (NG) learning neural networks (NNs) for modeling and identifying nonlinear systems with memory.
9p
sting12
10-03-2012
45
6
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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Charge-Domain Signal Processing of Direct RF Sampling Mixer with Discrete-Time Filters in Bluetooth and GSM Receivers
14p
sting11
09-03-2012
54
5
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Tín hiệu rời rạc (discrete-time signal) chỉ được xác định tại một số thời điểm nào đó. Khoảng cách giữa các thời điểm này không nhất thiết phải bằng nhau, nhưng trong thực tế thường là lấy bằng nhau để dễ tính toán. Có thể tạo ra tín hiệu rời rạc từ tín hiệu liên tục bằng 2 cách. Một là lấy mẫu tín hiệu liên tục, hai là đo hay đếm một đại lượng vật lý nào đó theo một chu kỳ nhất định, ví dụ cân em bé hàng tháng, đo áp suất không khí theo giờ......
5p
cinny06
28-01-2011
129
20
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DISCRETE-SIGNAL ANALYSIS AND DESIGN- P37:Electronic circuit analysis and design projects often involve time-domain and frequency-domain characteristics that are difÞcult to work with using the traditional and laborious mathematical pencil-and-paper methods of former eras. This is especially true of certain nonlinear circuits and sys- tems that engineering students and experimenters may not yet be com- fortable with.
5p
jupyter2468
26-10-2010
64
4
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DISCRETE-SIGNAL ANALYSIS AND DESIGN- P36:Electronic circuit analysis and design projects often involve time-domain and frequency-domain characteristics that are difÞcult to work with using the traditional and laborious mathematical pencil-and-paper methods of former eras. This is especially true of certain nonlinear circuits and sys- tems that engineering students and experimenters may not yet be com- fortable with.
5p
jupyter2468
26-10-2010
67
4
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DISCRETE-SIGNAL ANALYSIS AND DESIGN- P35:Electronic circuit analysis and design projects often involve time-domain and frequency-domain characteristics that are difÞcult to work with using the traditional and laborious mathematical pencil-and-paper methods of former eras. This is especially true of certain nonlinear circuits and sys- tems that engineering students and experimenters may not yet be com- fortable with.
5p
jupyter2468
26-10-2010
62
4
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DISCRETE-SIGNAL ANALYSIS AND DESIGN- P34:Electronic circuit analysis and design projects often involve time-domain and frequency-domain characteristics that are difÞcult to work with using the traditional and laborious mathematical pencil-and-paper methods of former eras. This is especially true of certain nonlinear circuits and sys- tems that engineering students and experimenters may not yet be com- fortable with.
5p
jupyter2468
26-10-2010
57
5
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DISCRETE-SIGNAL ANALYSIS AND DESIGN- P33:Electronic circuit analysis and design projects often involve time-domain and frequency-domain characteristics that are difÞcult to work with using the traditional and laborious mathematical pencil-and-paper methods of former eras. This is especially true of certain nonlinear circuits and sys- tems that engineering students and experimenters may not yet be com- fortable with.
5p
jupyter2468
26-10-2010
49
4
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DISCRETE-SIGNAL ANALYSIS AND DESIGN- P32:Electronic circuit analysis and design projects often involve time-domain and frequency-domain characteristics that are difÞcult to work with using the traditional and laborious mathematical pencil-and-paper methods of former eras. This is especially true of certain nonlinear circuits and sys- tems that engineering students and experimenters may not yet be com- fortable with.
5p
jupyter2468
26-10-2010
145
6
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DISCRETE-SIGNAL ANALYSIS AND DESIGN- P31:Electronic circuit analysis and design projects often involve time-domain and frequency-domain characteristics that are difÞcult to work with using the traditional and laborious mathematical pencil-and-paper methods of former eras. This is especially true of certain nonlinear circuits and sys- tems that engineering students and experimenters may not yet be com- fortable with.
5p
jupyter2468
26-10-2010
181
4
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DISCRETE-SIGNAL ANALYSIS AND DESIGN- P30:Electronic circuit analysis and design projects often involve time-domain and frequency-domain characteristics that are difÞcult to work with using the traditional and laborious mathematical pencil-and-paper methods of former eras. This is especially true of certain nonlinear circuits and sys- tems that engineering students and experimenters may not yet be com- fortable with.
5p
jupyter2468
26-10-2010
45
4
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DISCRETE-SIGNAL ANALYSIS AND DESIGN- P29:Electronic circuit analysis and design projects often involve time-domain and frequency-domain characteristics that are difÞcult to work with using the traditional and laborious mathematical pencil-and-paper methods of former eras. This is especially true of certain nonlinear circuits and sys- tems that engineering students and experimenters may not yet be com- fortable with.
5p
jupyter2468
26-10-2010
60
6
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DISCRETE-SIGNAL ANALYSIS AND DESIGN- P28:Electronic circuit analysis and design projects often involve time-domain and frequency-domain characteristics that are difÞcult to work with using the traditional and laborious mathematical pencil-and-paper methods of former eras. This is especially true of certain nonlinear circuits and sys- tems that engineering students and experimenters may not yet be com- fortable with.
5p
jupyter2468
26-10-2010
56
5
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DISCRETE-SIGNAL ANALYSIS AND DESIGN- P27:Electronic circuit analysis and design projects often involve time-domain and frequency-domain characteristics that are difÞcult to work with using the traditional and laborious mathematical pencil-and-paper methods of former eras. This is especially true of certain nonlinear circuits and sys- tems that engineering students and experimenters may not yet be com- fortable with.
5p
jupyter2468
26-10-2010
41
5
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