Linear Algebra and Complex Analysis (MATHS-405) SECTION-A Systems of Linear equations: Introduction, Linear equations, solutions, Linear equations in two unknowns, Systems of linear equations, equivalent systems, Elementary operations, Systems in Triangular and echelon form, Reduction Algorithm, Matrices, Row equivalence and elementary row operations, Systems of Linear equations and matrices, Homogeneous systems of Linear equations. (Scope as in Chapter 1, Sections 1.1-1.10 of Reference 1). 5 Vector Spaces: Introduction, Vector spaces, examples of vector spaces, subspaces, Linear combinations, Linear spans, Linear dependence and Independence, Basis and Dimension, Linear equations and vector spaces. (Scope as in Chapter 5, Sections 5.1- 5.8 of Reference 1). 5 Eigenvalues and Eigenvectors, Diagonalization: Introduction, Polynomials in matrices, Characteristic polynomial, Cayley-Hamilton theorem, Eigen-values and Eigen-vectors, computing Eigen-values and Eigen-vectors, Diagonalizing matrices. (Scope as in Chapter 8, Sections 8.1-8.5 of Reference 1). 4 Linear Transformations: Introduction, Mappings, Linear mappings, Kernal and image of a linear mapping, Rank- Nullity theorem (without proof), singular and non-singular linear mappings, isomorphisms. (Scope as in Chapter 9, Sections 9.1-9.5 of Reference 1). 6 Matrices and Linear transformations: Introduction, Matrix representation of a linear operator, Change of basis and Linear operators. (Scope as in Chapter 10, Sections 10.1-10.3 of Reference 1). 4 SECTION-B Complex Functions: Definition of a Complex Function, Concept of continuity and differentiability of a complex function, Cauchy – Riemann equations, necessary and sufficient conditions for differentiability (Statement only). Study of complex functions: Exponential function, Trigonometric functions, Hyperbolic functions, real and imaginary part of trigonometric and hyperbolic functions, Logarithmic functions of a complex variable, complex exponents (Scope as in Chapter 12, Sections 12.3 – 12.4, 12.6 – 12.8 of Reference 4). 8 Laurent Series of function of complex variable, Singularities and Zeros, Residues at simple poles and Residue at a pole of any order, Residue Theorem (Statement only) and its simple applications (Scope as in Chapter 15,Sections 15.1–15.3 of Reference 4). Conformal Mappings, Linear Fractional Transformation (Chapter 12, section 12.5,12.9) 6 7
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Linear Algebra and Complex Analysis (MATHS-405)
SECTION-A
Systems of Linear equations:
Introduction, Linear equations, solutions, Linear equations in two unknowns, Systems
of linear equations, equivalent systems, Elementary operations, Systems in Triangular
and echelon form, Reduction Algorithm, Matrices, Row equivalence and elementary
row operations, Systems of Linear equations and matrices, Homogeneous systems of
Linear equations. (Scope as in Chapter 1, Sections 1.1-1.10 of Reference 1).
5
Vector Spaces:
Introduction, Vector spaces, examples of vector spaces, subspaces, Linear
combinations, Linear spans, Linear dependence and Independence, Basis and
Dimension, Linear equations and vector spaces. (Scope as in Chapter 5, Sections 5.1-
5.8 of Reference 1).
5
Eigenvalues and Eigenvectors, Diagonalization:
Introduction, Polynomials in matrices, Characteristic polynomial, Cayley-Hamilton
theorem, Eigen-values and Eigen-vectors, computing Eigen-values and Eigen-vectors,
Diagonalizing matrices. (Scope as in Chapter 8, Sections 8.1-8.5 of Reference 1).
4
Linear Transformations:
Introduction, Mappings, Linear mappings, Kernal and image of a linear mapping, Rank-
Nullity theorem (without proof), singular and non-singular linear mappings,
isomorphisms. (Scope as in Chapter 9, Sections 9.1-9.5 of Reference 1).
6
Matrices and Linear transformations:
Introduction, Matrix representation of a linear operator, Change of basis and Linear
operators. (Scope as in Chapter 10, Sections 10.1-10.3 of Reference 1).
4
SECTION-B
Complex Functions: Definition of a Complex Function, Concept of continuity and
differentiability of a complex function, Cauchy – Riemann equations, necessary and
sufficient conditions for differentiability (Statement only). Study of complex functions:
Exponential function, Trigonometric functions, Hyperbolic functions, real and
imaginary part of trigonometric and hyperbolic functions, Logarithmic functions of a
complex variable, complex exponents (Scope as in Chapter 12, Sections 12.3 – 12.4,
12.6 – 12.8 of Reference 4).
8
Laurent Series of function of complex variable, Singularities and Zeros, Residues at simple poles and Residue at a pole of any order, Residue Theorem (Statement only) and its simple applications (Scope as in Chapter 15,Sections 15.1–15.3 of Reference 4).
Conformal Mappings, Linear Fractional Transformation (Chapter 12, section 12.5,12.9)
6
7
Conformal Mappings, Linear Fractional Transformations (Scope as in Chapter 12, Sections 12.5, 12.9 of Reference 4).
7
RECOMMENDED BOOKS
S.
No.
NAME AUTHOR(S) PUBLISHER
1 Shaum’s Outline of Theory and Problems of Linear Algebra
Seymour Lipschutz Second Edition, McGraw-
Hill, 1991.
2 Complex Variables and
Applications
R. V. Churchill, J. W. Brown
Sixth Edition, McGraw-
Hill, Singapore, 1996
3 Linear Algebra Vivek Sahai, Vikas
Bist.
Narosa Publishing House,
New Delhi, 2002
4 Advanced Engineering
Mathematics
E. Kreyszig Eighth Edition, John
Wiley.
5 Advanced Engineering
Mathematics
Michael D.
Greenberg
Second Edition, Pearson
Education
Communication Engineering (EC-401)
SECTION-A
Amplitude modulation
The need for modulation, mathematical analysis of AM, generation of AM, modulation
index and its significance, envelop detector and its analysis, Properties of AM signals,
DSB-SC, generation of DSB-SC signals, Coherent reception of AM signals, Costa’s
receiver, Quadrature carrier multiplexing, single sideband and vestigial sideband
modulation, Homodyne and heterodyne receiver structures, characteristics of a super-
heterodyne receiver.
8
Angle Modulation
Frequency and phase modulation, narrowband FM, frequency multiplication,
Wideband FM, the spectra of FM signals, transmission bandwidth requirement for FM,
generation of FM and PM signals, demodulation of FM and PM signals along-with
mathematical analysis, The phase locked loop: linear and nonlinear models, The
second order PLL, Nonlinear effects in FM systems.
9
Pulse Modulation
The need for sampling, the sampling process, Nyquist sampling theorem, Practical
sampling, aperture effect and its analysis, band-pass sampling, PAM, PWM, PPM.
5
SECTION-B
Digital pulse modulation
Quantization Process, midrise and midtred quantizers, PCM, Noise in PCM,
quantization noise, companding, A-law and 𝜇-law companding, Delta modulation,
analysis of noise specific to delta modulation, adaptive delta modulation, Linear
prediction, DPCM.
7
Noise in communication systems
The receiver model and figure of merit of a communication receiver, Noise in AM
receivers, threshold effect, Noise in FM systems, capture effect, FM threshold
reduction, Pre emphasis and de emphasis, Noise in PCM.
7
Baseband pulse transmission
Line codes, Matched filter and its properties along-with mathematical analysis, the
detection problem, probability of error due to AWGN, properties of the
complimentary error function, Bandlimited nature of channels, Nyquist pulse shaping
and ISI, raised cosine and duobinary pulse shaping, eye patterns, baseband M-ary
transmission.
9
RECOMMENDED BOOKS
S.
No.
NAME AUTHOR(S) PUBLISHER
1 Communication Systems Simon Haykin Wiley India Ltd
2 Modern Digital and Analog
Communication Systems
B P Lathi, Zhi Ding Oxford University
Press
3 Principles of Communication
Systems
H. Taub, D. L. Schilling, G.
Saha
McGraw Hill, 2011
4 Electronic Communication Systems G. Kennedy McGraw Hill, 4th
Edition
5 Electronic Communications Dennis Roddy & John
Coolin
PHI, latest Edition
6 Communication Systems: Analog
and Digital
R P Singh and S D Sapre Tata McGraw Hill
7 Principles of Digital communication J. Das, S. K. Mullick, P. K.