This text covers Digital Signal Processing (DSP) including signals and systems, discrete fourier transformers, digital filters, adaptive filters and beam forming. The DSP is covered under easy to understand framework. Table Of Contents: Signal Analysis: Continuous and Discrete Signals / Types of Signals / Fourier and Laplace Transforms / z-transform / Signal Models / Exercise / Discrete Fourier Transform and Convolution: Discrete Fourier Transform / Aliasing Error / Finite Discrete Fourier Transform (FDFT) / Fast Fourier Transform (FFT) / Related Transforms / Linear Systems and Convolution / Exercises / Power Spectrum Analysis: Spectrum, Cross-spectrum and Coherence / Estimation of Spectrum and Cross-spectrum / Spectral Windows / Higher Order Spectrum (Bispectrum) / Time Varying Spectrum / Exercises / Finite Impulse Response (FIR) Filters: Introduction to Digital Filters / FIR Filter Realization / Design of FIR Filters: Windowing / Design of FIR Filters: Optimization / Exercises / Infinite Impulse Response (IIR) Filters: IIR Filter / IIR Filter Structure / Analog Filters / Sampling of Analog Filters / Design by Placement of Poles and Zeros / IIR Filter Satisfying Desired Impulse Response / Filter Transformation / Exercises / Adaptive Filters: Optimum Filters / Least Mean Square (LMS) Algorithm / Recursive Least-Square (RLS) Algorithm / Modern Based Least-Squares / Adaptive IIR Filters / Echo Cancellation / Practical Echo Problems / Exercises / Beamformation: Wavefields / Uniform Linear Array (ULA) / Uniform Circular Array (UCA) / Beamformation / Focussed Beam / Application to Interference Cancellation / Adaptive Beamformation / Exercises / Multirate Digital Signal Processing: Multirate Sample Rate Conversion / Polyphase Decomposition / Digital Filter Banks / Quadrature Mirror Filter (QMF) Bank / Exercises / Digital Signal Processors: Basic Computations in Signal Processing / Signal Processor Architecture / Generic Signal Processor / Programmab

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