Biosignal and medical image processing. (2014)
- Record Type:
- Book
- Title:
- Biosignal and medical image processing. (2014)
- Main Title:
- Biosignal and medical image processing
- Further Information:
- Note: By John L. Semmlow.
- Authors:
- Semmlow, John L
- Contents:
- Introduction ; Biosignals; Biosignal Measurement Systems; Transducers; Amplifier/Detector; Analog Signal Processing and Filters; ADC Conversion; Data Banks; Summary; Problems; ; Biosignal Measurements, Noise, and Analysis ; Biosignals; Noise; Signal Analysis: Data Functions and Transforms; Summary; Problems; ; Spectral Analysis: Classical Methods; Introduction; Fourier Series Analysis; Power Spectrum; Spectral Averaging: Welch’s Method; Summary; Problems; ; Noise Reduction and Digital Filters; Noise Reduction; Noise Reduction through Ensemble Averaging; Z-Transform; Finite Impulse Response Filters; Infinite Impulse Response Filters; Summary; Problems; ; Modern Spectral Analysis: The Search for Narrowband Signals; Parametric Methods; Nonparametric Analysis: Eigenanalysis Frequency Estimation; Problems; ; TimeFrequency Analysis ; Basic Approaches; The Short-Term Fourier Transform: The Spectrogram; The WignerVille Distribution: A Special Case of Cohen’s Class; Cohen’s Class Distributions; Summary; Problems; ; Wavelet Analysis; Introduction; Continuous Wavelet Transform; Discrete Wavelet Transform; Feature Detection: Wavelet Packets; Summary; Problems; ; Optimal and Adaptive Filters; Optimal Signal Processing: Wiener Filters; 8.2 Adaptive Signal Processing; 8.3 Phase-Sensitive Detection; 8.4 Summary; Problems; ; Multivariate Analyses: Principal Component Analysis and Independent Component Analysis; Introduction: Linear Transformations; Principal Component Analysis; IndependentIntroduction ; Biosignals; Biosignal Measurement Systems; Transducers; Amplifier/Detector; Analog Signal Processing and Filters; ADC Conversion; Data Banks; Summary; Problems; ; Biosignal Measurements, Noise, and Analysis ; Biosignals; Noise; Signal Analysis: Data Functions and Transforms; Summary; Problems; ; Spectral Analysis: Classical Methods; Introduction; Fourier Series Analysis; Power Spectrum; Spectral Averaging: Welch’s Method; Summary; Problems; ; Noise Reduction and Digital Filters; Noise Reduction; Noise Reduction through Ensemble Averaging; Z-Transform; Finite Impulse Response Filters; Infinite Impulse Response Filters; Summary; Problems; ; Modern Spectral Analysis: The Search for Narrowband Signals; Parametric Methods; Nonparametric Analysis: Eigenanalysis Frequency Estimation; Problems; ; TimeFrequency Analysis ; Basic Approaches; The Short-Term Fourier Transform: The Spectrogram; The WignerVille Distribution: A Special Case of Cohen’s Class; Cohen’s Class Distributions; Summary; Problems; ; Wavelet Analysis; Introduction; Continuous Wavelet Transform; Discrete Wavelet Transform; Feature Detection: Wavelet Packets; Summary; Problems; ; Optimal and Adaptive Filters; Optimal Signal Processing: Wiener Filters; 8.2 Adaptive Signal Processing; 8.3 Phase-Sensitive Detection; 8.4 Summary; Problems; ; Multivariate Analyses: Principal Component Analysis and Independent Component Analysis; Introduction: Linear Transformations; Principal Component Analysis; Independent Component Analysis; Summary; Problems; ; Chaos and Nonlinear Dynamics; Nonlinear Systems; Phase Space; Estimating the Embedding Parameters; Quantifying Trajectories in Phase Space: The Lyapunov Exponent; Nonlinear Analysis: The Correlation Dimension; Tests for Nonlinearity: Surrogate Data Analysis; Summary; Exercises; ; Nonlinearity Detection: Information-Based Methods; Information and Regularity; Mutual Information Function; Spectral Entropy; Phase-Space-Based Entropy Methods; Detrended Fluctuation Analysis; Summary; Problems; ; Fundamentals of Image Processing: The MATLAB Image Processing Toolbox; Image-Processing Basics: MATLAB Image Formats; Image Display; Image Storage and Retrieval; Basic Arithmetic Operations; Block-Processing Operations; Summary; Problems; ; Image Processing: Filters, Transformations, and Registration; Two-Dimensional Fourier Transform; Linear Filtering; Spatial Transformations; Image Registration; Summary; Problems; ; Image Segmentation; Introduction; Pixel-Based Methods; Continuity-Based Methods; Multithresholding; Morphological Operations; Edge-Based Segmentation; Summary; Problems; ; Image Acquisition and Reconstruction; Imaging Modalities; CT, PET, and SPECT; Magnetic Resonance Imaging; Functional MRI; Summary; Problems; ; Classification I: Linear Discriminant Analysis and Support Vector Machines; Introduction; Linear Discriminators; Evaluating Classifier Performance; Higher Dimensions: Kernel Machines; Support Vector Machines; Machine Capacity: Overfitting or “Less Is More"; Extending the Number of Variables and Classes; Cluster Analysis; Summary; Problems; ; Classification II: Adaptive Neural Nets; Introduction; Training the McCulloughPitts Neuron; The Gradient Decent Method or Delta Rule; Two-Layer Nets: Back Projection; Three-Layer Nets; Training Strategies; Multiple Classifications; Multiple Input Variables; Summary; Problems; Appendix A: Numerical Integration in MATLAB; Appendix B: Useful MATLAB Functions; Bibliography; Index; … (more)
- Edition:
- 3rd edition
- Publisher Details:
- Place of publication not identified : CRC Press
- Publication Date:
- 2014
- Extent:
- 1 online resource (630 pages), (333 illustrations)
- Subjects:
- 610.2856
Imaging systems in medicine
Biosensors - Languages:
- English
- ISBNs:
- 9781466567375
1466567376 - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.141311
- Ingest File:
- 02_005.xml