- What Is Discrete Time Signals Processing
- Convolution in DTSP
- Circular Convolution in DTSP
- Problem on Circular Convolution in DTSP
- Representation of Linear Time Invariant Systems
- Analysis of Linear Time Invariant System Using Z-Transform Method
- System Transfer Function in Z-Transform
- Pole-Zero Representation of a System in Z-Transform
- Problem 1 on Pole-Zero Representation of a System in Z-Transform
- Problem 2 on Pole-Zero Representation of a System in Z-Transform
- Significance of Pole-Zero of Transfer Functions
- What is Impulse Response in Discrete Time signal Time Processing
- Problem 1 on Impulse Response in DTSP
- Problem 2 on Impulse Response in DTSP
- Frequency Response in DTSP
- Problem 1 on Frequency Response in DTSP
- Problem 2 on Frequency Response in DTSP
- Problem 3 on Frequency Response in DTSP
- Problem on Response of Linear Time Invariant System in DTSP
- Infinite Impulse Response System & Finite Impulse Response System

- Discrete Fourier Transform (DFT) And Discrete Time Fourier Transform (DTFT) in DTSP
- Relation Between Discrete Fourier Transform (DFT) and Discrete Time Fourier Transform (DTFT) in DTSP
- Problem on Discrete Time Fourier Transform (DTFT)
- Problem on Discrete Fourier Transform (DFT)
- Problem on DFT using Matrix Method
- Properties of Discrete Fourier transform (DFT)
- Problem on Properties of Discrete Fourier transform (DFT)
- Properties of Discrete Fourier transform (DFT)
- Problem on Properties of Discrete Fourier transform (DFT)

- Fast Fourier Transform (FFT) in DTSP
- 4 Point DIT(Decimation In Time) FFT Graph in DTSP
- Problem 1 based on 4 Point DIT(Decimation In Time) Fast Fourier Transform (FFT) Graph
- Problem 2 based on 4 Point DIT(Decimation In Time) Fast Fourier Transform (FFT) Graph
- Problem 3 based on 4 Point DIT(Decimation In Time) Fast Fourier Transform (FFT) Graph
- 8 Point DIT(Decimation In Time) Fast Fourier Transform (FFT) FlowGraph
- Problem 1 based on 8 Point DIT(Decimation In Time) FFT FlowGraph
- Problem 2 based on 8 Point DIT(Decimation In Time) FFT FlowGraph
- Problem 3 based on 8 Point DIT(Decimation In Time) FFT FlowGraph

- Concept of Finite Impulse Response (FIR) in Digital filter
- Windowing Techniques in Digital Filter
- Types of Windows in Digital Filter
- Problem No. 1 on Windowing Technique in FIR Filter
- Problem No. 2 on Windowing Technique Type Two in FIR Filter
- Problem No. 3 on Windowing Technique Type Three in FIR Filter
- Problem No. 4 on Windowing Technique in FIR Filter
- Frequency Domain Characteristics of Window Functions
- Problem No. 1 Based on Frequency Domain Characteristics of Window Function in FIR Filter
- Problem No. 2 Based on Frequency Domain Characteristics of Window Function in FIR Filter
- Design of FIR Filter Using Frequency Sampling Method
- Problem on Design of FIR Filters using Frequency Sampling Method

- Infinite Impulse Response (IIR) System in Digital Filter
- Impulse Invariance Method of IIR Filter Design
- Problem 1 on Impulse Invariance Method of IIR Filter Design
- Problem 2 on Impulse Invariance Method of IIR Filter Design
- Basic Formula for Impulse Invariance Method of IIR Filter Design
- Problem 1 on Bilinear Transformation Method of IIR Filter Design
- Problem 2 on Bilinear Transformation Method of IIR Filter Design
- Butterworth Filter Approximation
- Problem 1 on Butterworth Filter Design
- Problem 2 on Butterworth Filter Design
- Problem 3 on Butterworth Filter Design
- Chebyshev Filter Approximation
- Problem 1 on Design of Type 1 Chebyshev Filter
- Problem 2 on Design of Chebyshev Filter

- Realization of Digital Filter
- Problem 1 on Direct Form I in Realization of Digital Filter
- Problem 2 on Direct Form I in Realization of Digital Filter
- Direct Form II in Realization of Digital Filter
- Problem 1 on Direct Form II in Realization of Digital Filter
- Realization of FIR Filter
- Problem 1 on Direct Form Structure in Realization of Fir Filters
- Problem 2 on Direct Form Structure in Realization of Fir Filters
- Problem 1 on Linear Phase in Realization of FIR Filter
- Problem 2 on Linear Phase in Realization of FIR Filter
- Frequency Sampling Structure of an Fir Filter
- Introduction to Cascade and Parallel Realization
- Problem 1 on Cascade Form in Realization of Fir Filter
- Problem 2 on Cascade Form in Realization of Fir Filter
- Problem on Lattice Realization of Fir Filters
- Designing of Lattice Structure for IIR Filters
- Explain the Concept of Limit Cycles in IIR Digital Filters
- Problem on Implementation of Lattice Structures for Iir Filters

- Multirate Signal Processing
- Step for Sampling Rate Conversion Method in Multi Rate Signal Proccessing
- Down Sampling and Up Sampling
- Frequency Charcateristics of Up Sampling and Down Sampling
- Decimation in Sampling Rate
- Interpolation in z domain
- Sampling Rate Conversion by a Rational Factor
- Polyphase Filter Design
- Implementation of Polyphase Structures
- What Is Noble Identity in Multirate Signal Processing
- Implementation of Decimator and Interpolator in Polyphase Filter
- Digital Filter Bank
- Quadrature Mirror Filter (QMF)
- Multistage Implementation of Sampling Rate Converter
- Problem Based on Multistage Implementation
- Sub-Band Coding

- Number representation
- Fixed Point and Floating Point Binary Numbers
- Negative Number System Representation
- Truncation and Rounding
- Truncation Effect of One's Complement Number
- Sign and Magnitude Representation of Negative Number
- Concept Analysis of Arithmetic Round Off Error
- Concept of Dynamic Range Scaling
- Quantization Noise
- Signal To Quantization-Noise Ratio
- Design of Sparse Antenna Array
- Truncation Effect of Two's Complement Number
- Differential Length Area and Volume (Cartesians Co-Ordinate System)
- Co-Ordinate Systems (X,Y,Z)
- Knowledge Map of Wave Theory and Propagation
- Vector and Vector Algebra

Professor Ashish Shekhar, who has teaching experience in electronics and telecommunications branch of engineering, with highest qualification in M. E.(EXTC). He has been in this field for over eight years and has specialised in teaching subjects like Digital Signal Processing and electro magnetic engineering. he has also master in subjects like Microwave Engineering, audio processing, radar engineering, advanced Digital Signal Processing. his method of teaching involves problem-based learning so that students can apply these concepts in their real life his basic motto of teaching is to learn more and to teach better. He is currently working at Vidyalankar Institute of Technology as an assistant professor and he is also a renowned owner of digital content processor. he believes that " a student can learn in a better way and grasp concepts fast, only if the teacher is good and an has innovative ways of teaching. with his great ability to explain complex concepts of his subject in a very easy way makes him unique. under his guidance students can add value to their learning with incredible knowledge. understanding.

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