Digital Signal Processing: Instant Access

Chapter 1 Why DSP? DSP Definitions The Need for DSP Learning Digital Signal Processing Techniques Instant Summary Chapter 2 The Analog-Digital Interface Definitions Sampling and Reconstruction Quantization Encoding and modulation Number Representation Digital-to-Analog Conversion Analog-to-Digital Conversion Successive Approximation ADCs Instant Summary Chapter 3 DSP System General Model Definitions The Big Picture Signal Acquisition More on Sampling Theory Sampling Resolution Instant Summary Chapter 4 The Math of DSP Definitions Functions Limits Integration Oscillatory Motion Complex Numbers Key Concept Example Applications Filters Causality Convolution The Fourier Series Orthogonality Continuous Functions vs. Discrete Sequences Orthogonality Continued Quadrature Instant Summary Chapter 5 Transforms Definitions Background The z-Transform and DFT Application of the DFT The Fourier Transform Properties of the Fourier Transform The Laplace Transform Fast Fourier Transform (FFT) Instant Summary Chapter 6 Digital Filters Definitions FIR Filters The IIR Instant Summary Chapter 7 Applications of DSP Definitions Measurements and Analysis Telecommuni