Mobile Computing Syllabus Mumbai University

I have taken admission at the Mumbai University for Mobile Computing Program recently. the Classes for this Program will start soon. So before starting classes, give me its detailed syllabus. So can I get syllabus from the official website of University of Mumbai? If yes pls tell me steps how I can download the syllabus of Mobile Computing Course?

Hello friend I want Mobile Computing Syllabus of Mumbai University so please provide me the syllabus here?

[sumit]

Hello as you ask for the syllabus of Mobile Computing of Mumbai University so here I am providing to you


Discrete Time Signal and System
Introduction:Signals, Systems and Signal processing, classification of signals,
system, LTI system,Freqency domain representation of
DTS & Signals. Convolution , Correlation.

Z-Transforms
Introduction, Z-transforms , Inverse ZTransforms,
properties,System Function , Application of ZTransform,
Unilateral Z-Transform

Discrete Fourier Transform
Introduction , DFT and its properties, FFT algorithms – direct, divide and conquer
approach, radix-2 algorithm(Decimination In Time ), 2-D
DFT & FFT .

Introduction to Digital Image Processing Systems
Introduction, Brightness adoption and discrimination , Image
sampling and quantization, basic relationship between
pixels

Image Transforms
Introduction to Fourier Transform, properties of Walsh Transform, Hadamard Transform,
Discrete Cosine Transform, Slant Transform, Optimum
Transform: Karhunen- Loeve (Hotelling) Transform , Radon ,
Comparison of Transform. Introduction to wavelet transform

Image Enhancement
Image Enhancement in the Spatial domain : Spatial domain
point operation and Neighbourhood Operation , Gray-Level
Transformation,Median Filter , Bit plane slicing , Histogram
Processing, Arithmetic and Logic Operation, Spatial filtering
Introduction, smoothing and sharpening filters., Image
Enhancement in the frequency domain: Frequency-domain
filters: smoothing and sharpening filters, homomorphic
filtering

Image Restoration and Denoising :
Introduction,Image Degradation, Types of Image Blur , Classification of image
restoration Techniques , Image Restoration Model , Linear
and non-Linear image restoration Technique, Blind
deconvolution , Image Denoising , Classification of Noise in
Image, Trimmed Average Filter, Applications of Image
restoration.

Image segmentation
Detections of discontinuities,
edge-linking and boundary detection, thresholding, regionbased
segmentation, Hough’s transform

Image Data Compression: Fundamentals, redundancies
coding, inter-pixel, psychovisual, fidelity criteria, image
compression models, error-free compression, lossy
Compression