Download Digital Signal Processing A Computer Science Perspective By Jonathan (Y) Stein

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Introduction

The reader is already an expert in signal processing, although possibly unaware of it. We are all remarkably complex signal processing systems, adaptively processing intricate audio and video signals every moment of our lives. While awake we input intricate signals from our environment, extract high-level representations of information carried by these signals, make decisions based on this information, record some of the information for later recall and processing, and produce new signals to change our environment in real time. Even while sleeping, although most of the input has been removed, we unconsciously continue the processing; we reintroduce recently input signals in order to correlate them with previously stored signals, decide which signals should be stored for long periods of time, and generally perfect our signal processing performance. Due to this signal processing we are extremely good at understanding speech and immediately reacting based on what has been said. We scarcely think about our ability to recognize faces and greet (or avoid) their owners. We take our proficiency at reading handwriting for granted, except when admiring the pharmacist’s even greater competency when presented with a physician’s scrawl.

Table of Contents

Chapter No 1 Introductions
Chapter No 2 Signals
Chapter No 3 The Spectrum of Periodic Signals
Chapter No 4 The Frequency Domain
Chapter No 5 Noise
Chapter No 6 Systems
Chapter No 7 Filters
Chapter No 8 Nonfilter
Chapter No 9 Correlation
Chapter No IO Adaptation
Chapter No 11 Biological Signal Processing
Chapter No 12 Graphical Techniques
Chapter No 13 Spectral Analysis
Chapter No 14 The Fast Fourier Transform
Chapter No 15 Digital Filter Implementation
Chapter No 16 Function Evaluation Algorithms
Chapter No 17 Digital Signal Processors
Chapter No 18 Communications Signal Processing
Chapter No 19 Speech Signal Processing