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Braun, Simon

Discover Signal Processing

An Interactive Guide for Engineers

€ 116.95

  • Written by a world authority in this field, the book provides systematic, organized, and helpful instruction for a highly complex, densely mathematical subject, making this is an excellent and accessible guide for graduate students and practitioners in civil, mechanical and aerospace engineering.

    Taal / Language : English

    Part A: Exercises
    1_1: System excited by periodic input
    1_2: System excited by a transient input
    Solutions and summaries
    2_1: Signal types and parameters
    2_2: Energy and power of signals
    2_3: Random signals- the concept of realization
    2_4: Non stationary signal: temporal changes versus variability`s.
    Solutions and summaries
    3.Fourier methods
    3_1: Fourier Series decomposition
    3_2: Convergence of the Fourier Series
    3_3: Fourier decomposition of experimental data
    3_4: Decomposition of modulated signals
    3_5: Fourier Transform
    3_6: The uncertainty theorem
    3_7: The Fourier Transform of power signals
    3_8: Relation between a transient and its periodic extension.
    3_9:The FFT- interaction between N,Ttotal and Dt
    3_10: DFT for various signal classes
    3_11: Extension of the DFT for number of elements >N.
    3_12: The effect non integer number of periods in the analysis window
    Solutions and summaries
    4. Linear systems
    4_1: Continuous and Discrete Systems
    4_2: Dynamic response of an accelerometer
    4_3:Transient and noise response comparison for 2 accelerometers
    Solutions and summaries
    5_1:Introduction : response, performance and filter order
    5_2: Filtering of some specific signals
    5_3: Linear and non-linear phase filters
    5_4: The Running average filter
    Solutions and summaries
    6. Time domain (synchronous ) averages
    6_1: Signal extraction capabilities
    6_2:Filtering properties
    6_3: The attenuation og harmonic disturbamce
    6_4: The effect and detection of jitter
    Solutions and summaries
    7. Spectral Analysis
    7_1a: Engineering units.
    7_1b:Random and harmonic signals-the choice of engineering units
    7_2: Leakage and windows
    7_3:Separation of close signal components
    7_4:Leakage and the dynamic range of spectra
    7_5: Zero padding and the uncertainty theorem.
    7_6: Random signal analysis and bias errors
    7_7:Random signal analysis and random errors
    7_8: Error mechanisms for constant duration signals
    7_9: Spectral analysis and correlation functions
    Solutions and summaries
    8. Envelopes
    8_1:Spectral analysis of envelopes
    Solutions and summaries
    9. The spectrogram:
    9_1: Time frequency description
    9_2: Analysis of specific signals, choice of analysis parameters
    Solutions and summaries
    10. Data acquisition
    10_1: Quantization error for a sinusoidal signal
    10_2: Quantization error of a measured transient, dynamic ranges of systems
    10_3:The aliasing effect and the resultant spectrum
    10_4: Aliasing and the dynamic response of the anti-aliasing filter
    Solutions and summaries
    11. Identification- transfer functions
    11_1:Random excitation- bias errors traceable to insufficient resolution
    11_2: Random excitation-bias errors traceable to delay
    11_3:Bias errors traceable to measurement noise
    11_4:Measurement noise- the choice of H estimator
    Solutions and summaries
    12. Introduction to Model based signal processing
    12_1: Model based spectral analysis
    12_2: Detection of changes
    12_3: Model order and over determination
    Solutions and summaries
    13. Diagnostic application for rotating machinery
    13-1:Enhancing of bearing vibration signature
    13_2: Analysis of bearing vibrations
    13_3: Analysis of gear vibrations
    13_4:The effect of structures on vibration spectra of bearings and gears
    13_5: 3D analysis of vibrations during start up
    Solutions and summaries
    14. Systems incorporating delays
    14_1: Acoustic waves in a closed pipe
    14-4: Identification of delays by Cross correlation analysis
    14_3: Detection of echoes by Cepstrum analysis
    Solutions and summaries
    Part B: Theoretical background
    1.1 General objectives
    1.2 Basic processing
    1.3 Why the frequency domain?
    1.4 An introductory example
    2.1 Signal Classification
    2.2 Signal Descriptions
    2.3 Correlation functions
    2.3 Correlation functions
    3.Fourier methods
    3.1 Fourier Series
    3.2 Fourier (Integral) Transform
    3.3 The uncertainty principle
    3.4 The Discrete Fourier Transform DFT
    3.5 The DFT and Fast Fourier Transform (FFT)
    3.6 Discontinuities and windows
    4. Linear systems
    4.1 Continuous systems:
    4.2 Discrete systems
    4.3 A specific case of a continuous linear systems
    Appendix 4: Slightly damped SDOF system
    5.1 Preliminaries
    5.2 : Analog and Digital Filters
    5.3 : Filter classification and specifications 5.4 IIR filters
    5.5 FIR filters
    5.6 The importance of Linear phase filters
    5.7 Design tools
    6. Time Domain (Synchronous) Averaging
    6.1 Principle
    6.2 Rejection of non-synchronous components
    6.3 TDA with decaying memory process
    7.Spectral Analysis
    7.1 Introduction
    7.2 Representation of signals in the frequency domain
    7.3. Errors and their control
    7.4 Spectral analysis, practical consideration
    8. The Envelope
    8.1 Introduction
    8.2 The Hilbert Transform (HT)
    8.4 Narrow Band (NB) signals and their envelope
    9.The Spectogram
    9-1- Introduction
    9-2-Time frequency methods
    9.3 The Short Time Fourier Transform (STFT) and the Spectogram
    10 Data acquisition
    10.1 Data acquisition and Signal Processing systems
    10.2 Amplitude quantization
    10.3 Quantization in time the sampling theorem
    10.4 Anti-aliasing filters
    11. Identification- Transfer Functions
    11.1. Objectives and overview
    11.2 Frequency Domain Identification, the noiseless case
    11.3. Identification with noise corrupted signals
    11.4. Error mechanisms and their control in the identification process
    11.5 Estimation errors for the Coherence function
    12. Introduction to Model based signal processing 12.1 General 12.2 Signal models 12.3. Modeling of signals
    12.4. Model based spectral analysis
    12.5 Model or selection
    12.6 Model based diagnostics
    Appendix 12 The correlation matrix
    13. Diagnostic applications for rotating machinery
    13.1 Diagnostics and rotating machinery
    13.2 Structural effects
    13.3 Rotating unbalance
    13.4 Modeling of roller bearing vibration signals;
    13.5 Bearing vibrations: structural effects and envelopes
    13.4 Modelling of gears vibration signals
    14. Delays
    14.1 System with pure delays
    14.2 Correlation functions
    14.3 Cepstral analysis
    Extra informatie: 
    366 pagina's
    Januari 2008
    794 gram
    248 x 178 x 25 mm
    Wiley-Blackwell us

    Levertijd: 5 tot 11 werkdagen