This training is about using MATLAB(R) Signal Processing toolbox for Bio-Medical signal processing, analysis, visualization, and algorithm development. The training covers various topics such as filter design, windowing techniques, transforms, multi-rate signal processing with respect to Bio-Medical Signals etc.
| COURSE CONTENT : | |
| Introduction to DSP | • Introduction to DSP• Sampled data systems
• Aliasing and antialiasing • Reconstruction • Practical limitations • Frequency & amplitude resolution • Quantization and timing errors • Correlation and convolution • Frequency analysis • Fourier transforms • Frequency ‘leakage’ • Windowing • Multi-rate signal processing |
| Transforms | • Fourier Transform• Z – Transform
• DCT Transform • Wavelet Transform |
| Filters | FIR Filter – FIR digital Filters• FIR filter basics
• Analysis of FIR filters • Frequency & impulse responses • The window design method • Optimization design methods • Practical limitations of FIR filters IIR Filter – • IIR filter basics • Analysis of FIR filters • Frequency & impulse responses • IIR filter design • Poles, zeroes and filter response |
| DSP with MATLAB(R) | • Introduction to DSP Toolbox• Signal processing functions in MATLAB(R)
(conv, conv2, corrcoef, cov, cplxpair, deconv, fft, fft2, fftshift, filter2, freqspace, ifft, ifft2,unwrap) • Time domain analysis of a signal • Frequency domain analysis of a signal |
| Digital Filter Design in MATLAB(R) | • Discrete-Time Filters (Direct form I, Direct form II, latticefilters)• 1_D Median filtering
• Butterworth filter design • Chebyshev Type I filter design (pass band ripple) • Chebyshev Type II filter design (stop band ripple) • Raised cosine FIR filter design • Recursive digital filter design |
| Window Design | • Rectangular window• Hamming window
• Hanning window • Bartlett window • Kaiser window etc |
| Biomedical signal processing | • Introduction to bio-medical signals (ECG, EMG, EEG)• Signal analysis
• Biomedical signal processing • Signal enhancement • Artifact removal |
| Case Studies | • ECG Analysis• EMG Analysis
• EEG Analysis • Brain Computer Interface Demo |
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