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Digital Signal Processing Using MATLAB & Wavelets Michael Weeks
Publisher: Jones & Bartlett Learning

THE MATLAB SYSTEM: The MATLAB system consists of five main parts:. Jan 27, 2009 - Areas in which toolboxes are available include signal processing, control systems, neural networks, fuzzy logic, wavelets, simulation, and many others. Mallat, "A theory for multiresolution signal decomposition: the wavelet representation," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. Implementation of GMSK in Radio Communication Using MATLAB. Feb 18, 2014 - An Accuracy of 99.15% and 98.70 % for classification have been achieved for normal versus abnormal and benign versus malignant respectively, this substantiate the capabilities of the approach presented in this paper. Speech Compression Using Wavelets. Jul 5, 2010 - ECE MATLAB PROJECTS (DSP). Automatic Speaker Recognition System by using MATLAB. Preprocessing of Speech signal using LPC and Enhancing using wiener filter. Acoustic Echo Cancellation in Hand-free Communication System. Nov 18, 2013 - Matlab Code for Discrete Wavelet Transform Practical applications can also be found in signal processing of accelerations for Image recognition ,Image retrieval techniques in digital communications and many others. Channel Estimation and Detection based on DS-CDMA. Noise Reduction by using Adaptive Filters. Sep 1, 2005 - Digital Signal Processing :-. Gonzalez, et al., Digital Image Processing Using MATLAB, 1st ed.