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Waveform coding
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Ebook "Full-3D seismic waveform inversion: Theory, software and practice" introduces a methodology for solving the seismic inverse problem using purely numerical solutions built on 3D wave equations and which is free of the approximations or simplifications that are common in classical seismic inversion methodologies and therefore applicable to arbitrary 3D geological media and seismic source models. Source codes provided allow readers to experiment with the calculations demonstrated and also explore their own applications.
543p
duongthandue0501
28-02-2024
6
1
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Part 1 of ebook "Basic radar analysis" provides readers with contents including: radar basics; radar range equation; radar cross section; noise; radar losses; detection theory; matched filter; detection probability improvement techniques; ambiguity function; waveform coding;...
300p
tieulangtran
28-09-2023
3
2
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Part 1 of ebook "Novel radar techniques and applications - Volume 2: Waveform diversity and cognitive radar, and target tracking and data fusion" provides readers with contents including: waveform diversity and cognitive radar; introduction to waveform diversity and cognitive radar; radar emission spectrum engineering; adaptive OFDM waveform design for spatio-temporal-sparsity exploited STAP radar; cognitive waveform design for spectral coexistence;...
277p
tieulangtran
28-09-2023
5
3
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Ebook "An introduction to Passive Radar" explains how passive radar works, how it differs from the active type, and demonstrates the benefits and drawbacks of this novel technology. Properties of illuminators, including ambiguity functions, digital vs. analog, digitally-coded waveforms, vertical-plane coverage, and satellite-borne and radar illuminators are explored. Readers find practical guidance on direct signal suppression, passive radar performance prediction, and detection and tracking.
110p
tieulangtran
28-09-2023
4
0
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This paper discusses how to ensure security, i.e., confidentiality and integrity properties, for data in IoT applications. While confidentiality could be assessed via information flow analysis, integrity is ensured by error-correcting codes. In addition to errors, many communication channels also cause erasures, i.e., the demodulator cannot decide which symbol the received waveform represents. The paper proposes a method that might correct both errors and erasures together. Our method is efficient in reducing memory storage as well as decoding complexity.
7p
trinhthamhodang9
10-12-2020
16
3
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The document Processing Fundamentals and applications Digital signal present the content: introduction to digital signal processing, signal sampling and quantization, digital signals and systems, discrete fourier transform and signal spectrum, the Z-transform, digital signal processing systems, basic filtering types, and digital filter realizations, finite impulse response filter design, infinite impulse response filter design, hardware and software for digital signal processors, adaptive filters and applications, waveform quantization and compression, subband- and wavelet-based coding, ima...
893p
cao_duy_son
15-08-2019
49
7
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Receiver structure Impact of AWGN and ISI on the transmitted signal. Optimum filter to maximize SNR. Matched filter receiver and Correlator receiver.Demodulation and sampling: Waveform recovery and preparing the receivedl signal for detection: Improving the signal power to the noise power (SNR) using matched filter Reducing ISI using equalizerl Sampling the recovered waveform. Detection: Estimate the transmitted symbol based on the received sample
23p
doanhung_dtvtk10
24-03-2013
63
7
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Channel codings nhằm tăng khả năng chống các tác nhân nhiễu trên đường truyền Phân làm 2 loại: Waveform codings: mã hoá dạng tín hiệu để giảm BER khi tách sóng: đối xứng (antipodal), trực giao (orthogonal), và song trực giao (biorthogonal). Structured sequences: thêm vào một số bít để tăng khả năng phát hiệu lỗi và sửa lỗi.
14p
kakahungkakahung
17-10-2012
105
13
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Mã hóa kênh là biến đổi tính hiệu để cải thiện hiệu quả của hệ thống, tăng khả năng chống lại nhiễu, suy giảm, interference... Có 2 loại: Waveform coding: mã hóa tín hiệu để giảm error khi tách sóng: đối xứng, trực giao, song trực giao; structured sequences: thêm các bit để giúp phát hiện và sửa lỗi
59p
minhnguyenus
28-03-2012
108
10
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Evaluating the average probability of symbol error for different bandpass modulation schemes Comparing different modulation schemes based on their error performances. Channel coding: Transforming signals to improve communications performance by increasing the robustness against channel impairments (noise, interference, fading, ..) Waveform coding: Transforming waveforms to better waveforms Structured sequences: Transforming data sequences into better sequences, having structured redundancy. “Better” in the sense of making the decision process less subject to errors....
80p
stevenhuynh87
08-12-2010
160
39
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Visualizing Sound Data The Waveform class The first dozen or so lines of the Waveform class will be familiar to you if you’ve been reading this book linearly. Line 1 declares the class’s package path as this class is part of the learningactionscript3 code library developed throughout this book. Lines 3 through 7 import all the other classes required by this class. Line 9 declares the class and extends Sprite so it can inherit all accessible properties, methods, and events from the Sprite class.
10p
yukogaru13
30-11-2010
71
13
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Infinite Impulse Response Filters Infinite impulse response filter structures: direct form I, direct form II, cascade, and parallel Bilinear transformation for filter design Sinusoidal waveform generation using difference equation Filter design and utility packages Programming examples using TMS320C3x and C code The finite impulse response (FIR) filter discussed in the previous chapter has no analog counterpart.
30p
doroxon
16-08-2010
76
8
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Infinite Impulse Response Filters • • • • • Infinite impulse response filter structures: direct form I, direct form II, cascade, and parallel Bilinear transformation for filter design Sinusoidal waveform generation using difference equation Filter design and utility packages Programming examples using TMS320C6x and C code The finite impulse response (FIR) filter discussed in Chapter 4 has no analog counterpart. In this chapter we discuss the infinite impulse response (IIR) filter that makes use of the vast knowledge already acquired with analog filters.
23p
khinhkha
30-07-2010
80
7
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Example of speech waveform uttered by a male subject about the word ‘‘problems.’’ The expanded views of a voiced frame and an unvoiced frame are shown, with the magnitude of the Fourier transorm plotted. The frame is 256 samples in length. to duplicate many of the behaviors and characteristics of real-life phenomenon. However, it is incorrect to assume that the model and the real world that it represents are identical in every way. In order for the model to be successful, it must be able to replicate partially or completely the behaviors of the particular object or fact that it intends...
10p
khinhkha
20-07-2010
67
6
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