Fundamentals of Wavelet Toolbox Applications

Wavelet Toolbox Application Fundamentals: 16.1 1D Wavelet Analysis Applications (395) 16.1.1 Wavelet Decomposition in General Signal Analysis (395) - Implementation using wavedec() function with multi-level decomposition 16.1.2 Wavelet Transform in Signal Feature Detection (411) - Feature extraction using cwt() for continuous wavelet transform 16.2 2D Wavelet Analysis Applications (417) 16.2.1 Wavelet Analysis in Image Smoothing (417) - Denoising with dwt2() and thresholding techniques 16.2.2 Wavelet Analysis in Image Enhancement (418) - Contrast improvement using wavelet coefficient manipulation 16.2.3 Wavelet Analysis in Image Fusion (420) - Multi-resolution fusion with wfusimg() function 16.3 Wavelet Packet Analysis Applications (422) 16.3.1 Wavelet Packets in Signal Time-Frequency Analysis (423) - wpdec() for detailed frequency band decomposition 16.3.2 Wavelet Packets in Image Edge Detection (429) - Edge detection using wavelet packet energy features